Claims:CLAIMS

1. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN proposed an industrial WSN smart sensor interface.

2. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN of claim 1, wherein said that it is a smart sensor data collection system.

3. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN of claim 1, wherein said the proposed system is more accurate and faster.

4. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN of claim 1, wherein said that in this paper, we analyzed and discussed various aspects.
5. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN of claim 1, wherein said that in recent years, WSN has become a hot topic Communication system.
6. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN of claim 1, wherein said that a reliable and efficient system for monitoring variables.
7. Real Time and Effective High Speed Data Acquisition System in IOT Environment Using WSN of claim 1, wherein said that this research looks at all of the important and recent work that has been done so far, as well as its limitations and challenges.
, Description:Descriptions:

Low-cost sensor nodes have recently been used, which means they can be used in a variety of fields such as environmental monitoring, homeland security, and disaster relief. It is important to note that they require a large amount of data. Sensor nodes in most types of WSNs don't do anything else after they've been configured. There are sensor nodes that collect data from their surroundings. These include things like ensuring reliable communication, conserving power, and keeping a network operational. WSNs differ from traditional networks in many ways due to their own distinct characteristics. This isn't the only issue with these networks; they also consume a lot of energy and have limited bandwidth and storage space. In this section, we'll go over each of these limitations in greater detail. Wireless sensor networks (WSNs) can be used for a variety of purposes. Video and audio sensor networks, for example, can be used to monitor systems or to improve existing systems, such as those that already have them. During times of crisis or conflict, the enemy may gain access to critical areas of homeland security. Border areas, gulf and strait entrances, and port approaches are examples of these areas. Sensor nodes that can be quickly set up could be used in these areas to increase the chances of detecting an intruder more cost-effectively and quickly than current methods. In some applications, sensor and ad-hoc networks must meet additional requirements, such as reliability and the ability to operate in real time. To ensure that the nodes last as long as possible, their batteries must be as long as possible. When it comes to real-time and reliability, this can be a problem. It is possible to reduce the amount of time it takes to send and receive a message. There are numerous approaches to this. The routing methods also have issues with other parts of the system, such as how energy efficient they are, how long they last, and how cheap they are. You should also keep track of how many nodes are required to buffer the packet as the hop-number increases. This means that the nodes in between will have to wait longer for processing. Packets may be dropped from the network due to insufficient processing time and buffer space. There can't be any delays at any of the nodes because the system needs to be able to run quickly in real time (Monaco et al, 2006). As networks expand, it becomes more difficult to solve the problem described above. Path lengths will become longer as the network grows, making it more difficult. People are constantly looking for new and better ways to route sensor and ad hoc networks. Mobility is also important in this case. Because mobile nodes have a negative impact on overall system performance, resolving this issue is becoming increasingly difficult and impractical. This is due, in part, to the fact that mobility complicates and increases the cost of the routing problem. Routing algorithms that are currently in use do not perform well. As a result, new and distinct algorithms must be developed for use in mobile environments. We'll also show off two real-time data collection apps built on top of WSNs after that. There are numerous methods and formats for providing data to applications. Long-term decisions are made using traditional (non-real time) information, while short-term decisions are supported by real-time data. As a result, in order to meet their needs, people must be able to obtain real-time information. There are numerous methods for measuring real-time events. You can use microseconds or milliseconds, for example. You can also use minutes or seconds. A quick response time is critical for preserving all of the critical data from the incident. Real-time data acquisition is frequently discussed in Wireless Sensor Networks. This paper considers a few other ways to do things, as well as some of their main benefits and drawbacks. We discussed in the chapter how real-time data requires the use of multiple layers of communication architecture. It is more difficult to manage a wireless network in these situations. Sensor network constraints and unique features exacerbate the problem. Because there is so much going on, we focus on the most important aspects and issues, as well as relevant studies from the literature. You must be able to communicate with each other from start to finish if you want to use a WSN. This is what limits the range and speed with which WSNs can be used. We discuss the performance issues and factors that must be considered when obtaining real-time WSN data. Aside from that, there is an in-depth examination and comparison of various approaches to solving a specific communication problem, such as medium access or routing. Based on these protocol comparisons, it is possible to determine how new ideas should be developed. Stateless weighted routing (SWR) is a routing protocol used on the World Wide Web that attempts to solve a variety of problems and goals for WSNs. When compared to other protocols, SWR is the simplest and fastest to set up. It is superior to other similar protocols in almost every way because it contains a plethora of advantages. Through aggregation methods, it is important to reduce communication costs, use more bandwidth efficiently, and provide better data, but this method adds time. There are more powerful nodes where the aggregation solution is more appropriate (with additional ability and higher resources). Wireless Sensor Networks (WSNs) are increasingly being used to collect real-time data in a variety of industries. You can see how they were made and how they were made by looking at these two of them.