A new approach in energy consumption based on genetic algorithm and fuzzy logic for wsn

Abstract

Although the sensor node is tiny, it covers large areas by connecting these nodes together wirelessly, it called wireless sensor network (WSN). WSNs are one of the common things that still evolving very fast nowadays. Routing protocols challenge the energy consumption of wireless sensor networks. In this paper, we proposed a new Fuzzy Logic and Genetic Algorithm based protocol (FL-GA) for WSNs, as follows, we used the fuzzy logic Mamdani method for finding the best cluster heads. We used two inputs for fuzzy, energy and distance, we used the Genetic Algorithm for optimization. Taking into account variable parameters, the choice of cluster heads will be more efficient and the cluster forming will be more accurate, all the nodes will almost die at the same time. One of the classic routing protocols is the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. We compared our protocol to the LEACH protocol. Our network nods, still alive much more than the LEACH protocol nodes. The proposed method is more efficient in extending the network lifetime and maximizing the total number of data packets received in the sink.