A Survey on Fuzzy Logic-Approach & Various Clustering Techniques in Wireless Sensor Network

Saroj Yadav, Dr. Subhash Chandra Jat, Saurabh Sharma

Wireless Sensor Network, Clustering, Fuzzy Logic, Multi-Hop Wireless Networks

An important application for the Wireless Sensor Network (WSN) involves remote control of the environment and target tracking. This has been made possible by the development of smaller, cheaper, and smart sensors, particularly in recent years. These sensors have wireless interfaces to communicate with each other to form a network. We evaluate latest developments in WSNs in this paper, containing their design constraints and applications as well as lifetime assessment models. Clustering is most common technology of energy efficiency and offers some advantages such as energy efficiency, scalability, lifespan & less time. Because of the execution needs, fuzzy logic (FL) is a good approach; sensor nodes can easily support it while enhancing overall network performance. The research addresses clustering approaches of fuzzy logic, which combine the benefits of localization, scalability, and energy conservation. The WSNs have employed fuzzy logic to enhance decision-making, minimize consumption of resources, also usually improve performance by efficient deployment, collection of clusters and cluster heads, localization, data aggregation, security, routing, etc.