Cluster Head Enhance Selection Using Type-II Fuzzy Logic for Multi-hop Wireless Sensor Network

Abstract

Wireless sensor network is a remote network of spatially distributed small, lightweight sensors to observe physical and environment status by the measurement of temperature, pressure, vibration and to co-operatively pass their information via network to a base station (BS). In designing wireless sensor network routing protocol, enhancing energy efficiency and lifetime of remote sensor systems are critical issues as a large portion of the remote sensor systems work in unattended condition where accessing and observing are not easy. Low energy adaptive clustering hierarchy (LEACH) is a randomized probabilistic model which is not advisable in practice because it consider energy only to elect cluster head (CH) and it follows the single-hop communication which burdens the CH and may not scale well for bigger applications. Wireless sensor network has routing chain which is of requested grouping of the considerable number of nodes in the system framing a chain structure to convey a collected information to BS. Clustering techniques arranges the framework activity in related way to go to the system versatility, limit energy utilization and accomplish delayed system lifetime. Orchestrate the framework activity in related way to go to the system versatility, limit energy utilization and accomplish delayed system lifetime. Most of the algorithms overburden the CH during cluster formation. An idea of fuzzy logic is come up as decision maker in applied wireless sensor network (WSN). A large portion of the algorithms use type-1 fuzzy logic (T1FL) model, but uncertain level decisions are handled by type-2 fuzzy logic (T2FL) model superior to T1FL model. The performance is analysed using NS2 simulator.