
Improving the Life Time of the Wireless Sensor Network Using Fuzzy Logic
Author(s) -
Anjamma Onteru
Publication year - 2019
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst196257
Subject(s) - base station , computer science , protocol (science) , routing protocol , computer network , cluster analysis , fuzzy logic , wireless sensor network , cluster (spacecraft) , real time computing , routing (electronic design automation) , artificial intelligence , medicine , alternative medicine , pathology
In the past few years, intensive research that addresses the potential of collaboration among sensors in data gathering and processing, and coordination and management of the sensing activity was conducted. Thus, innovative techniques to eliminate energy inefficiencies that shorten the lifetime of the Network and efficient use of the limited bandwidth are highly required. LEACH (Low Energy Adaptive Clustering Hierarchy) is the most famous routing protocol which consumes less energy. In LEACH, the Cluster Head is selected based on some random probabilities. These Cluster Heads send the aggregated data to the base station. In the proposed protocol, Cluster Heads are selected in the same procedure followed by the LEACH. But, among the Cluster Heads, we have selected a Super Cluster Head (SCH) based on some fuzzy descriptors such as remaining battery power, centrality of cluster heads and mobility of base station. The Super Cluster Head then sends the data to the base station. The results have been derived from NS-2 simulator and show that the proposed protocol performs better than the LEACH protocol.