Claims:CLAIMS
I/We Claim:
1. A method (300) of routing data of a patient (102) in a Wireless Body Bio-Sensor Network (100) comprising steps of:
sensing the data associated with a health of the patient (102) by biosensor nodes (104a-104h);
classifying the sensed data into an emergency data and a normal data by comparing values of the sensed data with corresponding threshold values;
allocating a data transmission route to the corresponding biosensor nodes (104a-104h) based on the classified data;
allocating a time slot to the biosensor nodes (104a-104h) having the normal data of the classified data based on a Time Division Multiple Access (TDMA) technique;
receiving the classified data by a sink node (106) from the corresponding biosensor nodes (104a-104h) based on the allocated data transmission route and the time slot; and
transmitting the received data associated with the health of the patient (102) from the sink node (106) to an Internet of Things (IoT) (110).
2. The method (300) as claimed in claim 1, wherein the data transmission route is selected from one of, a direct transmission route (114), an indirect transmission route (116), or a combination thereof.
3. The method (300) as claimed in claim 2, further comprising a step of transmitting the emergency data of the classified data from the corresponding biosensor nodes (104a-104h) to the sink node (106) through the direct transmission route (114).
4. The method (300) as claimed in claim 2, further comprising a step of transmitting the normal data of the classified data from the corresponding biosensor nodes (104a-104h) to the sink node (106) through the indirect transmission route (116).
5. The method (300) as claimed in claim 1, wherein the biosensor nodes (104a-104h) are selected from one of, a temperature sensor, a blood pressure sensor, a glucose sensor, a pulse oximeter, a heart rate sensor, an electrocardiogram (ECG), an electromyograph (EMG), electroencephalogram (EEG), or a combination thereof.
6. The method (300) as claimed in claim 1, further comprising a step of transmitting the sensed data from the biosensor nodes (104a-104h) to the Internet of Things (IoT) (110) by employing a hybrid routing protocol (202) in the Wireless Body Bio-Sensor Network (100).
7. The method (300) as claimed in claim 6, wherein the hybrid routing protocol (202) is an Improved Reliable Energy Aware Stable Topology (iM-REAST) protocol.
8. The method (300) as claimed in claim 1, further comprising a step of assigning a priority to the biosensor nodes (104a-104h) having the emergency data of the classified data.
9. The method (300) as claimed in claim 1, further comprising a step of allocating an optimal path by a path selector (120) for transmitting the received data onto the Internet of Things (IoT) (110).
10. The method (300) as claimed in claim 9, wherein the optimal path is allocated based on a path state information (134) provided by a cost function.
Date: 24 March, 2021
Place: Noida
Dr. Keerti Gupta
Agent for the Applicant
(IN/PA-1529)

, Description:FORM 2

THE PATENT ACT 1970
(39 of 1970)
&
THE PATENTS RULES, 2003

COMPLETE SPECIFICATION
(See Section 10, and rule 13)

METHOD OF ROUTING HEALTH DATA IN A WIRELESS BODY BIO-SENSOR NETWORK

APPLICANT(S)
NAME: CH RAJENDRA PRASAD
NATIONALITY: INDIAN
ADDRESS: S R ENGINEERING COLLEGE, ANANTHASAGAR (V), HASANPARTHY (M), WARANGAL, TELANGANA 506371

The following specification particularly describes the invention and the manner in which it is to be performed

BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a wireless body area network and particularly to a method of routing health data in a wireless body bio-sensor network.
Description of Related Art
[002] Population growth and an increased cost of healthcare in developed and developing countries have opened more challenges in a healthcare sector. With a growth in elderly populations, a value of medical services would presumably drop, ensuing raise in the healthcare and healthcare expenditures. Several millions of people die due to various diseases such as heart attacks, diabetes, and so forth. Traditionally, biosensor nodes have been attached to a body of a patient through wires. However, the biosensor nodes involve a lot of wiring cost. To overcome the aforementioned issue, a technology has made several advancements in domains which are beneficial for the patients in monitoring a health of the patients. One such accomplishment includes a Wireless Body Bio-Sensor Network (WBBSN) which is communication standard optimized for battery-operated devices. The WBBSN serves different applications such as, a medical, consumer electronics, and so forth to offer services to the patients at their doorsteps. Various Wireless Body Bio-Sensor Networks (WBBSNs) are available to monitor the health of the patients.
[003] In a conventional approach, the WBBSNs employs a 3-tier communication network (as shown in FIG. 1A) such as an intra WBBSN, an inter WBBSN, and an extra WBBSN that is compatible to communicate with existing wireless technologies such as a Bluetooth®, Wireless Fidelity (Wi-Fi), the Internet, and so forth. The intra WBBSN monitors the body of the patients through body sensors and sends vital information such as, a temperature, a blood pressure, and so forth to a coordinator node using the existing wireless technologies. Further, the inter WBBSN comprises of a body coordinator that consolidates the information and transmits to a sink node. Further, the sink node transmits the consolidated information to a remote medical center and a doctor through a communication network in the extra WBBSN. However, a battery recharging cycle restricts an operation of the WBBSN, as a frequent detaching of batteries from the body of the patient is not feasible. Moreover, in such approach, each biosensor node continuously transmits their information to the sink node which is done at a cost of their energy consumption, which in turn reduces a stability period of a network and overall network lifetime.
[004] To overcome the aforementioned issue, the WBBSNs employ routing protocols such as a Stable Increased Throughput Multi-Hop Protocol for Link Efficiency (SIMPLE) and an Adaptive Threshold based Thermal unaware Energy-efficient Multi-hop protocol (ATTEMPT). However, in the ATTEMPT protocol, a placement of the biosensor nodes is not followed their energy levels, as a result the stability period is limited to 2100 epochs with a nRF2401A radio transceiver and increased by 1200 epochs with a nRF24L01 radio transceiver. Moreover, in case of the SIMPLE protocol, high data rates quickly deplete their energy than lower data rates due to an unbalanced energy distribution, as a result the stability period is limited to 3500 in the nRF2401A radio transceiver and 4300 in the nRF24L01 radio transceiver.
[005] There are few other disclosures in prior art, which provides a solution of enhancing an energy efficiency of radio frequency modules by using miniaturized implantable transceivers. Further, various routing protocols, a relay-based node approach, a two-relay based Wireless Body Area Network (WBAN) routing protocol, a Cooperative location-based routing, and so forth are provided to minimize the energy consumption to some extent. However, such solutions are unable to optimize the energy in terms of various parameters such as, a supply voltage, a transmitter, a receiver and so forth.
[006] There is thus a need for an advanced and more-effective method of routing health data in the wireless body biosensor network that can administer the drawbacks faced by conventional methods.
SUMMARY
[007] Embodiments in accordance with the present invention provide a method of routing data of a patient in a Wireless Body Bio-Sensor Network (WBBSN), wherein the method comprising steps of: sensing the data associated with a health of the patient by biosensor nodes; classifying the sensed data into an emergency data and a normal data by comparing values of the sensed data with corresponding threshold values; allocating a data transmission route to the corresponding biosensor nodes based on the classified data; allocating a time slot to the biosensor nodes having the normal data of the classified data based on a Time Division Multiple Access (TDMA) technique; receiving the classified data by a sink node from the corresponding biosensor nodes based on the allocated data transmission route and the time slot; and transmitting the received data associated with the health of the patient from the sink node to an Internet of Things (IoT).
[008] Embodiments of the present invention may provide a number of advantages depending on its particular configuration. First, embodiments of the present application provide a Wireless Body Bio-Sensor Network (WBBSN) that offers a possibility of an early identification of unusual health circumstances, real-time tracking of a healthcare and remote telemedicine support systems for individuals. Next, embodiments of the present invention provide a Wireless Body Bio-Sensor Network (WBBSN) that provide an intelligent healthcare system with a target-specific flexible Quality of Service (QoS). Next, embodiments of the present invention provide a Wireless Body Bio-Sensor Network (WBBSN) to monitor and communicate human essential signals to a distant healthcare server, thereby makes a remote surveillance of a patient’s health status possible for health professionals.
[009] Next, embodiments of the present invention provide a Wireless Body Bio-Sensor Network (WBBSN) that enhances a quality of life by enabling a data collection, a data transmission and a data visualization through Internet of Things (IoT). Next, embodiments of the present invention provide a Wireless Body Bio-Sensor Network (WBBSN) that increase a comfort level of the patients by employing Ultra-Low Power (ULP) radio transceivers.
[0010] These and other advantages will be apparent from the present application of the embodiments described herein.
[0011] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0013] FIG. 1A illustrates a prior art;
[0014] FIG. 1B illustrates a Wireless Body Bio-Sensor Network (WBBSN), according to an embodiment of the present invention;
[0015] FIG. 1C illustrates a direct transmission route of a hybrid data transmission protocol, according to an embodiment of the present invention;
[0016] FIG. 1D illustrates an indirect transmission route of the hybrid data transmission protocol, according to an embodiment of the present invention;
[0017] FIG. 1E illustrates a data transmission from a sink node to an IoT, according to an embodiment of the present invention;
[0018] FIG. 2A illustrates a graphical representation of a stability period in a nRF2401A radio transceiver, according to an embodiment of the present invention;
[0019] FIG. 2B illustrates a graphical representation of the stability period in a nRF24L01 radio transceiver, according to an embodiment of the present invention;
[0020] FIG. 2C illustrates a graphical representation of packets received rate in the nRF2401A radio transceiver, according to an embodiment of the present invention;
[0021] FIG. 2D illustrates a graphical representation of the packets received rate in the nRF24L01 radio transceiver, according to an embodiment of the present invention;
[0022] FIG. 2E illustrates a graphical representation of a residual energy in the nRF2401A radio transceiver, according to an embodiment of the present invention;
[0023] FIG. 2F illustrates a graphical representation of the residual energy in the nRF24L01 radio transceiver, according to an embodiment of the present invention;
[0024] FIG. 2G illustrates a graphical representation of a path loss rate with the nRF2401A radio transceiver, according to an embodiment of the present invention;
[0025] FIG. 2H illustrates a graphical representation of the path loss rate with the nRF24L01 radio transceiver, according to an embodiment of the present invention; and
[0026] FIG. 3 depicts a flow chart of a method of routing the data of a patient in the Wireless Body Bio-Sensor Network, according to an embodiment of the present invention.
DETAILED DESCRIPTION
[0027] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
[0028] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.
[0029] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0030] FIG. 1B illustrates a Wireless Body Bio-Sensor Network (WBBSN) 100, according to an embodiment of the present invention. The Wireless Body Bio-Sensor Network (WBBSN) 100 may be capable of monitoring a health of a patient 102 without any constraint on normal activities of the patient 102. The normal activities may be, but not limited to, running, jogging, cooking, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the normal activities of the patient 102. In an embodiment of the present invention, the Wireless Body Bio-Sensor Network (WBBSN) 100 may be deployed in a pre-defined network area. In a preferred embodiment of the present invention, the pre-defined network area may be 6 feet * 2.5 feet. Further, in an embodiment of the present invention, the Wireless Body Bio-Sensor Network (WBBSN) 100 may employ a hybrid routing protocol 202 (as shown in Fig. 2A) that may further facilitate a hybrid data transmission protocol, Ultra-Low Power (ULP) radio transceivers and a hybrid synchronization scheme. In a preferred embodiment of the present invention, the hybrid routing protocol 202 may be an Improved Reliable Energy Aware Stable Topology (iM-REAST) protocol. In an embodiment of the present invention, the hybrid data transmission protocol may employ data transmission routes for transmitting data from biosensor nodes 104a-104h (hereinafter referred to as the biosensor nodes 104) to a sink node 106. The data transmission routes may be, but not limited to, a direct transmission route 114 (as shown in FIG. 1C), an indirect transmission route 116 (as shown in FIG. 1D), and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the data transmission routes including known, related art, and/or later developed technologies.
[0031] Further, in an embodiment of the present invention, the hybrid data transmission protocol may be facilitated between the biosensor nodes 104 and the sink node 106 to enhance a stability period of the WBBSN 100. In an embodiment of the present invention, the hybrid synchronization scheme may be facilitated to provide a collision free transmission. The hybrid synchronization scheme may comprise a differentiated traffic to classify the data into an emergency data and a normal data, in an embodiment of the present invention. In such embodiment of the present invention, the differentiated traffic may compare values of the data with corresponding threshold values to determine the emergency data and the normal data.
[0032] Further, the hybrid synchronization scheme may employ a Time Division Multiple Access (TDMA) technique to allocate a time slot to the biosensor nodes 104 having the normal data in a first cycle of the transmission of the data to the sink node 106. In an embodiment of the present invention, the sink node 106 may allocate the time slot to the biosensor nodes 104 having the normal data by using the TDMA technique. In such embodiment of the present invention, the sink node 106 may create a TDMA schedule for enabling a communication between the biosensor nodes 104 and the sink node 106. Further, the hybrid synchronization scheme may allocate variable time slots based on an arrival of the data in the first cycle, in an embodiment of the present invention. The arrival of the data may include a delay and a drift value that may be calculated by using a below mentioned equation (1) and (2).
D = (F/100) *min (TS1, TS2 …… TSn) ------- (1)
DV = {?T, if |?T| > D and 0, if |?T| < D -----(2)
where, D represents the Delay, TS represents the Time slot, DV represents the Drift value and ?T = Expected Arrival Time – Current Arrival Time.
[0033] Further, the Ultra-Low Power (ULP) radio transceivers may be facilitated to offer an optimum energy consumption. In a preferred embodiment of the present invention, the Ultra-Low Power (ULP) radio transceivers may be a nRF2401A radio transceiver and a nRF24L01 transceivers. The Ultra-Low Power (ULP) radio transceivers may have a frequency of 2.4 Gigahertz (GHz) Industrial Scientific and Medical (ISM) band. In an embodiment of the present invention, the Ultra-Low Power (ULP) radio transceivers may have simulation parameters that are shown in a Table 1.
Parameter nRF2401A Radio Transceiver nRF24L01 Radio Transceiver
T * Current (mA) 17.4 10.5
R * Current (mA) 19.7 18
Voltage (V) 2.1 1.9
Etx-ele 96.9 16.7
Erx-ele 172.8 36.1
Eamp 2.71 1.97
Table 1
[0034] According to embodiments of the present invention, the Wireless Body Bio-Sensor Network (WBBSN) 100 may comprise the biosensor nodes 104, the sink node 106, a gateway 108, and an Internet of Things (IoT) 110. The biosensor nodes 104 may be capable of sensing the data associated with the health of the patient 102, in an embodiment of the present invention. The biosensor nodes 104 may be, but not limited to, a temperature sensor, a blood pressure sensor, a glucose sensor, a pulse oximeter, a heart rate sensor, an electrocardiogram (ECG), an electromyograph (EMG), electroencephalogram (EEG), and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the biosensor nodes 104 including known, related art, and/or later developed technologies. The data associated with the health of the patient 102 may be, the emergency data and/or the normal data, in an embodiment of the present invention. In an embodiment of the present invention, a first set of nodes of the biosensor nodes 104 may be deployed near to the sink node 106 that may collect the emergency data of the sensed data of the patient 102 from the first set of nodes of the biosensor nodes 104 with a low attenuation. In a preferred embodiment of the present invention, the first set of nodes of the biosensor nodes 104 may have two nodes of the biosensor nodes 104. In another embodiment of the present invention, a second set of nodes of the biosensor nodes 104 may be deployed at pre-defined locations on body parts of the patient 102 to transmit the sensed data through one of, a forwarder node to the sink node 106 that may minimize the energy consumption of the biosensor nodes 104. The forwarder node may be selected from one of, the second set of nodes of the biosensor nodes 104.
[0035] In an embodiment of the present invention, the biosensor nodes 104 may be wireless sensors that may be deployed within the body of the patient 102. In another embodiment of the present invention, the biosensor nodes 104 may be deployed around the body of the patient 102. In yet another embodiment of the present invention, the biosensor nodes 104 may be deployed over the body of the patient 102. In an embodiment of the present invention, the biosensor nodes 104 may be deployed at body parts of the patient 102 with a pre-defined energy based on deployment parameters. In a preferred embodiment of the present invention, the pre-defined energy may be 0.4 Joules (J). Further, the sink node 106 may be deployed at a pre-defined location on the body of the patient 102 based on deployment parameters. The pre-defined location may be a center of the body of the patient 102. Further, the deployment parameters may be, but not limited to, a deployment area, a number of the biosensor nodes 104, a position of the sink node 106, a position of the biosensor nodes 104, and so forth. In an embodiment of the present invention, a value of the deployment parameters may be shown below in a Table 2.
Deployment Parameters Values
Deployment Area 0.8 * 1.8 m2
Number of Biosensor nodes 104 8
Position of Sink Node 106 0.4(x), 0.9(y)
Position of Biosensor Nodes 104 1(0.4,1.6), 2(0.35, 0.95) (0.35,0.6), 4(0.3,0.1), 5(0.5,0.4), 6(0.5,0.75), 7(0.75,0.6), 8(0.6,1.05)
Table 2
[0036] Further, Table 3 represents baud rates of parameters of the biosensor nodes 104.
Parameters Temperature Blood pressure EEG EMG ECG
Data Type (Kb/s) 0.12 0.016 43.2 300 288
Power Consumption Low High Low Low Low
Accuracy 8 8 12 16 8
Privacy Low High High High High
Quality of Service (QOS) Yes Yes Yes Yes Yes
Table 3
[0037] Further, according to embodiments of the present invention, a total energy consumption of the biosensor nodes 104 may be a combination of an energy of homogenous transmissions and an energy of heterogenous transmissions. The total energy consumption may be calculated in a below defined equations (3), (4) and (5) as:
Etotal = EHomo + EHetro ----------- (3)
EHomo = Etx = Erx = d2 * (Eele + Eamp) *b ---- (4)
EHetro = n*b*(Etx) + b* (n-1) * (Erx + Eda) ---- (5)
where Etotal represents the total energy consumption, EHomo represents the energy of homogenous transmissions, and EHomo represents the energy of the heterogenous transmissions.
[0038] In an embodiment of the present invention, the sink node 106 may be a personal server that may be capable to collect the sensed data from the biosensor nodes 104 and may further transmit the collected data to the Internet of Things (IoT) 110 through the gateway 108. The sink node 106 may be, but not limited to, a mobile sink node, a static sink node, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the sink node 106 including known, related art, and/or later developed technologies. The gateway 108 may be a network node that may enable a flow of the data from the sink node 106 to the IoT 110. The gateway 108 may be, but not limited to, a router, a firewall, a server, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the gateway 108 including known, related art, and/or later developed technologies.
[0039] In an embodiment of the present invention, the IoT 110 may enable users to be connected to the patient 102. Further, the IoT 110 may also enable the users to monitor the sensed data in real-time through a corresponding user computing device 112. The users may be, but not limited to, health professionals, family members, friends, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the users that may monitor a health status of the patient 102. Further, the user computing device 112 may be, but not limited to, a personal computer, a consumer device, and alike. Embodiments of the present invention are intended to include or otherwise cover any type of the user computing device 112 including known, related art, and/or later developed technologies. The personal computer may be, but not limited to, a desktop, a laptop, and alike. Embodiments of the present invention are intended to include or otherwise cover any type of the personal computer including known, related art, and/or later developed technologies. In another embodiment of the present invention, the consumer device may be, but not limited to, a tablet, a mobile phone, a notebook, a netbook, a smartphone, a wearable computing device, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the consumer device including known, related art, and/or later developed technologies.
[0040] FIG. 1C illustrates the direct transmission route 114 of the hybrid data transmission protocol, according to an embodiment of the present invention. The direct transmission route 114 may be a single hop transmission route, in an embodiment of the present invention. The direct transmission route 114 may be employed for transmitting the emergency data of the sensed data from the biosensor nodes 104 to the sink node 106, in an embodiment of the present invention. In such embodiment of the present invention, a priority may be assigned to the biosensor nodes 104 having the emergency data to transmit the emergency data of the sensed data to the sink node 106.
[0041] FIG. 1D illustrates the indirect transmission route 116 of the hybrid data transmission protocol, according to an embodiment of the present invention. The indirect transmission route 116 may be a multi hop transmission route that may employ a minimum number of hops for transmitting the normal data of the sensed data from the biosensor nodes 104 to the sink node 106.
[0042] FIG. 1E illustrates a data transmission from the sink node 106 to the IoT 110, according to an embodiment of the present invention. The sink node 106 may have a queue model 118 and a path selector 120, in an embodiment of the present invention. The queue model 118 may further comprise a critical table 122, a traffic classifier 124, and a schedular 126. The traffic classifier 124 of the sink node 106 may receive the sensed data as traffic data from the biosensor nodes 104, in an embodiment of the present invention. The traffic classifier 124 may be capable to classify the traffic data into a critical traffic data 128 and a normal traffic data 130 based on the critical table 122. In an embodiment of the present invention, the critical table 122 may be having pre-stored values of the traffic data that may be used in determining the critical traffic data 128. Further, the schedular 126 of the sink node 106 may assign the time slot to the critical traffic data 128 and the normal traffic data 130. The path selector 120 may allocate an optimized path from a set of available paths 132a-132c (hereinafter referred to as the available paths 132) to the critical traffic data 128 and the normal traffic data 130 based on a path state information 134. In an embodiment of the present invention, the path state information may be provided by a cost function that may be calculated as defined in a below mentioned equation (6):
Cost Function = n/(S(i). E2) (distance (i)) ---- (6)
[0043] Further, the critical traffic data 128 and the normal traffic data 130 may be transmitted to the IoT 110 through the gateway 108.
[0044] FIG. 2A illustrates a graphical representation 200 of the stability period in the nRF2401A radio transceiver, according to an embodiment of the present invention. As used herein, the term “stability period” refers to a number of epochs required for a first node death after an establishment of a network. A span may be expressed in terms of the number of epochs. The hybrid routing protocol 202 may be executed once for each of the number of epochs. The stability period of the hybrid routing protocol 202 in the nRF2401A radio transceiver may be in a range of 8500 epochs to 9000 epochs.
[0045] FIG. 2B illustrates a graphical representation 204 of the stability period in the nRF24L01 radio transceiver, according to an embodiment of the present invention. The stability period of the hybrid routing protocol 202 in the nRF24L01 radio transceiver may be in a range of 8500 epochs to 9000 epochs.
[0046] FIG. 2C illustrates a graphical representation 206 of packets received rate in the nRF2401A radio transceiver, according to an embodiment of the present invention. In an embodiment of the present invention, the sink node 106 may receive the packets at a rate of 9 * 104 bits per second in the hybrid routing protocol 202 with the nRF2401A radio transceiver. The hybrid routing protocol 202 may facilitate the hybrid synchronization scheme that may estimate the variable time slot and may further selects the forwarder node based on the cost function. As used herein, the term “cost function” may be defined as a distance of the biosensor nodes 104, a residual energy and hop counts for a selection of the forwarder node to send the packets.
[0047] FIG. 2D illustrates a graphical representation 208 of the packets received rate in the nRF24L01 radio transceiver, according to an embodiment of the present invention. In an embodiment of the present invention, the sink node 106 may receive the packets at a rate of 9 * 104 bits per second in the hybrid routing protocol 202 with the nRF24L01 radio transceiver.
[0048] FIG. 2E illustrates a graphical representation 210 of a residual energy in the nRF2401A radio transceiver, according to an embodiment of the present invention. The residual energy of the hybrid routing protocol 202 may be achieved by a sporadic sleep mode, that minimizes an energy consumption due to an inactive listening and an excessive hearing.
[0049] FIG. 2F illustrates a graphical representation 212 of the residual energy in the nRF24L01 radio transceiver, according to an embodiment of the present invention. A numerical value of the residual energy of the hybrid routing protocol 202 may be double as compared to an ATTEMPT protocol and a SIMPLE protocol.
[0050] FIG. 2G illustrates a graphical representation 214 of a path loss rate with the nRF2401A radio transceiver, according to an embodiment of the present invention. The body of the patient 102 (as shown in FIG. 1B) may be partially conductive by nature and embodied with various substances having a varying thickness, dielectric constants and a characteristic impedance. In an embodiment of the present invention, various standards such as, Institute of Electronics and Electrical Engineering (IEEE) 802.15.6, IEEE 802.15.1 (Bluetooth) MICS, a Zigbee, and so forth may be used in the WBBSN 100. In an embodiment of the present invention, the IEEE 802.15.6 may be an Ultra-Wide Band (UWB).
[0051] FIG. 2H illustrates a graphical representation 216 of the path loss rate with the nRF24L01 radio transceiver, according to an embodiment of the present invention. In an embodiment of the present invention, the pass loss rate may be minimized by reducing the distance between the sink node 106 and one of the biosensor nodes 104. A path loss model may be worked as a function operating frequency and the distance between the sink node 106 and the one of the biosensor nodes 104 to calculate the path loss rate as defined in a below mentioned equation (7) and (8):
PL = PL0 + 10n log10(d/d0) + ss ----- (7)
PL0 = 10nlog10 (4?df/c)2 ----- (8)
where ? represents a propagating wavelength, f represents a propagating wave frequency that may be of a 2.4 GHz, c is a light velocity, ss is a path loss coefficient that may be in a range of 3.37 and 4.2.
[0052] FIG. 3 depicts a flow chart of a method 300 of routing the data of the patient 102 in the Wireless Body Bio-Sensor Network 100, according to an embodiment of the present invention. At step 302, the Wireless Body Bio-Sensor Network 100 may sense the data associated with the health of the patient 102.
[0053] At step 304, the Wireless Body Bio-Sensor Network 100 may compare the values of the sensed data with the corresponding threshold values.
[0054] At step 306, the Wireless Body Bio-Sensor Network 100 may classify the sensed data as the emergency data, in case one of the values of the sensed data may be greater than the corresponding threshold value.
[0055] At step 308, the Wireless Body Bio-Sensor Network 100 may classify the sensed data as the normal data, in case one of the values of the sensed data may be less than or equal to the corresponding threshold value.
[0056] At step 310, the Wireless Body Bio-Sensor Network 100 may allocate the direct transmission route 114 to the corresponding biosensor nodes 104, when the sensed data is the emergency data.
[0057] At step 312, the Wireless Body Bio-Sensor Network 100 may allocate the indirect transmission route 116 to the corresponding biosensor nodes 104, when the sensed data is the normal data.
[0058] At step 314, the Wireless Body Bio-Sensor Network 100 may allocate the time slot to the biosensor nodes 104 having the normal data based on the Time Division Multiple Access (TDMA) technique.
[0059] At step 316, the Wireless Body Bio-Sensor Network 100 may receive the classified data by the sink node 106 from the corresponding biosensor nodes 104 based on the allocated data transmission route and the time slot.
[0060] At step 318, the Wireless Body Bio-Sensor Network 100 may transmit the received data associated with the health of the patient 102 from the sink node 106 to the IoT 110.
[0061] Embodiments of the invention are described above with reference to block diagrams and schematic illustrations of methods and systems according to embodiments of the invention. While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
[0062] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims.