Energy-Aware Performance Evaluation of WSNs using Fuzzy Logic
Santosh Kumar Bharti, Shashi Kant Dargar, Abha Nyati · 2013
Wireless Sensor Networks (WSNs) are being used to form large, dense networks for the purpose of long term environmental sensing and data collection. Unfortunately, these networks are typically deployed in remote environment where energy source are limited. WSN's, present a new generation of real-time embedded systems with limited computation, energy and memory resources that are being used in a wide variety of applications where traditional networking infrastructure is practically infeasible. Appropriate cluster-head node election can drastically reduce the energy consumption and enhance the lifetime of the network. In this paper, a fuzzy based energy-aware sensor network communication protocol is developed based on three descriptors - energy, concentration and centrality. Further we have to compared fuzzy based approach with other popular protocol LEACH and improved hierarchy scheme DBS. Simulation shows that depending upon network configuration, a substantial increase in network lifetime can be accomplished as compared to probabilistically selecting the nodes as cluster-heads using only local information.