Predicting and Extending of Sensor Lifetime in Wireless Sensor Networks using Fuzzy Logic

Wireless sensor networks are specially distributed autonomous sensor, WSN communicates with signals, the lifetime of a sensor mainly depends on the energy or battery of a sensor nodes. Cluster is a set of sensor nodes which communicates with each other in a range. Cluster formation and cluster head selection are important problems in Wireless Sensor Networks (WSNs). They can drastically affect the network�s communication energy dissipation and performance of a network. In WSNs, energy shortens the operation time of sensors, lifetime of sensors and network lifetime. So to increase the network lifetime and operation time for sensors we proposed Fuzzy logic scheme. . In this work, we propose a fuzzy-based simulation system for WSNs, in order to calculate the lifetime of a sensor by considering the remaining battery power, sleep time rate and transmission time rate. Battery power of a node is depends on the range of transmission, if it is transmitting at a high range then it has more power else less power. Sleep time is when nodes are not transmitting any data to the nodes. We are also extending the life time of sensor nodes. We evaluate the system by NS2 simulations and show that it has a good behavior for measuring sensor lifetime.