A novel cluster head selection scheme using fuzzy logic in wireless sensor networks

Today WSNs having different important role in different fields. Generally WSNs consist of thousands of small, cost effective, constrains on memory and processing capabilities to sense data periodically from predefined region. Wireless sensor network deployed in war like area or area in which after deployment of wireless sensor network any change is not possible. So, energy consumption is one of the major issue in wireless sensor networks. Whole network lifetime depend on how efficiently energy consume in sensor network. Sensor nodes organization is based some characteristics in a number of sensor node chunks called cluster. And clustering is used to reduce data communication cost in wireless sensor networks. A node called cluster head is responsible for collecting sensed data from cluster node transmitting to the BS. An effective cluster head selection scheme may reduce the energy consumption and prolong the network life time. In this paper, we introduce a novel CH selection scheme using fuzzy logic concepts. It is non probabilistic cluster head selection scheme. In this fuzzy logic based clustering scheme, parameters used to select cluster head are residual energy, base station distance, concentration, local distance.