An Energy Efficient Clustering in Wireless Sensor Networks
Se‐Jung Lim, Gwang-Jun Kim, Daehyon Kim · Advanced science and technology letters · 2015
In WSNs, sensor nodes which are capable of sensing, computing and communication are randomly deployed in inaccessible terrains or disaster relief operations. Since their power sources are either battery or non-rechargeable, they have to rely on the limited supply of energy. In order to operate for a given mission time as long as possible, a more effective use of energy is the major challenge. In this paper, we proposed an energy efficient clustering (EEC) to prolong the network lifetime in WSNs. We considered the distribution of sensor nodes and then divided the network field into several regions using a hierarchical strip in order to elect cluster headers. The simulation results illustrate that our proposal achieves a longer network lifetime via an effective energy consumption.