Abstract: Wireless sensor network is the collection of sensors grouped together to perform a specific task. The sensors are placed either in a regular pattern or in a random manner. In contrast to regular deployment, random deployment may lead to the existence of redundant sensors, used to monitor the same field of interest. The redundant sensors may degrade the network performance in many aspects such as energy consumption, coverage, connectivity, etc. In this study the tradeoff between the number of active sensors, coverage, energy and connectivity is discussed in detail. Parameters such as connectivity, number of neighbors and distance towards the sink and coverage overlap are put into fuzzy logic system. The output measure, namely, Node Selection Probability (NSP) from the fuzzy inference system decides whether or not the sensor nodes should be redeployed and need to be alive or inactive. Simulation results show that the algorithm effectively extends the network life time and has achieved high throughput, residual energy and coverage with reduced number of sensors. The number of sensors are reduced by eliminating the redundant sensors which will produce the maximum redundant effect.
E. Sivajothi and P. Vivekanandan, 2016. Fuzzy Based Composite Metric Approach to Control Redundant Sensors in Wireless Sensor Network. Asian Journal of Information Technology, 15: 5004-5018.