Abstract
A mobile sensor network is a set of physically distributed sensor nodes. Sensor node is a small wireless device with limited battery life, radio transmission range and storage size. Sensor nodes perform the task of collecting data, processing of data, monitoring of environment etc. Mobility of sensors can be effectively used to improve the target coverage quality and network connectivity in randomly deployed mobile sensor networks. Appropriate cluster head (CH) selection can reduce the energy consumption. Most famous hierarchical routing protocol is Low energy adaptive clustering hierarchical (LEACH), in which CH is selected on rotation basis based on a probabilistic threshold value. In this process only CH are allowed to send information to base stations (BS).But in this method a SCH i.e. super cluster head is chosen among the CHs who can send the information to mobile base stations by choosing suitable fuzzy descriptors like base station mobility, clusters centrality and remaining battery power. Fuzzy inference engine is used to select the chance of CHs to be SCH. We have derived the results from NS-2 simulator and show that the proposed protocol performs better than the LEACH protocol as it provides better stability and better lifetime to network. Keywords —Wireless Sensor Network (WSN), Super Cluster Head (SCH), Fuzzy Logic
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
