Paper Title
PROFICIENT GROUPING ALGORITHM IN MULTIHOP ENVIRONMENT WITH TYPE-2 FUZZY LOGICAbstract
Wireless sensor networks (WSNs) are attracting attention to increasing research Extensive spectrum of applications, including monitoring, tracking and Border monitoring, intelligent transportation system for monitoring traffic density And to monitor the road conditions, and environmental applications, for example, environment Pollution, water quality, agriculture. Lifetime enhancement has constantly been a vital issue as most of the Wi-Fi sensor networks (WSNs) operate in unattended environment wherein human get entry to and monitoring are nearly infeasible. Clustering is one of the maximum powerful strategies which can arrange the system operation in related way to wait the community scalability, minimize electricity consumption, and reap prolonged network lifetime. To conquer this problem, modern researchers have prompted the proposition of many several clustering algorithms. However, maximum of the proposed algorithms overburden the cluster head (CH) in the course of cluster formation. To conquer this problem, many researchers have provide you with the concept of fuzzy common sense (FL), which is applied in WSN for decision making. These algorithms focus at the performance of CH, which will be adoptive, flexible, and clever sufficient to distribute the burden some of the sensor nodes which could beautify the community lifetime. But regrettably, most of the algorithms use kind-1 FL (T1FL) model. In this paper, we suggest a clustering algorithm on the premise of c program language period kind-2 FL model.
KEYWORDS : Type-2 Fuzzy Logic, Wireless Sensor Network, Cluster Head, Clustering Algorithm