Increase Residual Energy in Wireless Sensor Networks Based on Fuzzy Logic Cluster Head Selection

Abstract

: For remote sensing and observing tasks, Wireless Sensor Networks (WSNs) are very convenient. In WSNs protocols, Sensor nodes which limited with (battery operated devices in addition to restricted resources) possessed several challenges. For combating these issues, the researches continuously conducted. In WSNs, the distribution of the energy load for nodes is the aim of clustering and this done by evaluating several aggregator nodes or Cluster Heads (CHs). Ourpaperpresents a new criterion to select the cluster head CH. This criterion used concepts of node distance, residual energy and expected efficiency. Also in this study, we assumed all sensors installed in the network have unknown position and we use a localization algorithm to locate all positions of the sensors.Our approach named Modified Energy Efficient Fuzzy Logic Cluster Head (MEEFL-CH) which is a modified approach of an approach (EEFL-CH) created by. It shows the enhancement in term of the life time of the (WSNs) better than the existence routing approaches.