A Wireless Sensor Networks Clustering Protocol Based on Cluster Management for IOT

Abstract

The Internet of Things (IoT) is now one of the most discussed emerging technologies. Its primary function is to facilitate the joining of various apparatuses. It facilitates interaction between the network and other devices. This work suggests that Wireless Sensor Network (WSN) use a Modern Cluster Supervisor-Based Cluster Head selection method (MCSBCH). With MCSBCH, an improved clustering routing system has been put in place to set up an effective routing mechanism. To figure out how well the suggested mechanism works, work is done to compare its energy use, lifetime, and throughput. The suggested method has two steps, such as using our new metric TBBR to create a route with a longer network lifetime. Second, existing study looks at these issues separately when choosing the best route for communication. This work, on the other hand, looks at them all at once. The success of the TBBR is measured with MCSBCH, WSN-FAHN, and both short and long simulations. For study, each algorithm's results are plotted and shown in a graph. TBBR has several threshold values that are more flexible and can be changed based on what the application needs. Also, the comparison shows that TBBR performance is important for extending the life of a network and getting the best level of security. WSN can be made with one or more low-power sensors, processors, memories, radios, power sources, and actuators. This can be used to make the surroundings smarter. Most sensor node batteries can't be changed or charged, so saving energy has become a top concern for WSNs with limited energy. It is very important for many things, like rescue operations, the military, tracking disasters, health care, agriculture, environmental research, and home security.