Fuzzy based cluster head selection on the hierarchy TEEN in WSN

Abstract

In recent years Wireless Sensor Network (WSN) is dispersed in multiple clusters with the sensor. The sensors have played an important role for the data gathered from the remote area by sensors mounted on the clustering area its named as Sensors Nodes (SN) subsequently the Base Station (BS) will received the gathered information. So the lifetime of the sensor node depends on the power battery power supply. The improvement  of sensor node life time in WSN  is to balance the network load and thereby exhausted out the life span of the system, by this the efficient consumption of SNs energy has achieved. Lot of clustering algorithm is there for get better the life span of the sensors Nodes in that TEEN (Threshold-sensitive energy efficient sensor network) is considered for  harvesting the energy dissipation in the WSN, Further to develop the life span of the sensor nodes a suitable algorithm have to consider. In this paper, a fuzzy based algorithm is used for selecting the prompt cluster head selection among the clustering. If the cluster head is selected properly the Quality of service (QoS) is increasing like throughput, energy consuming of nodes, and alive nodes with respect to number of rounds.