Fuzzy-TOPSIS based Cluster Head selection in mobile wireless sensor networks

One of the critical parameters of Wireless Sensor Networks (WSNs) is node lifetime. There are various methods to increase WSN ode lifetime, the clustering technique is being one of them. In clustering, selection of a desired percentage of Cluster Heads (CHs) is erformed among the sensor nodes (SNs). Selected CHs are responsible for collecting data from their member nodes, aggregating the ata and finally sending it to the sink. In this paper, we propose a Fuzzy-TOPSIS technique, based on multi criteria decision making, o choose CH efficiently and effectively to maximize the WSN lifetime. We will consider several criteria including: residual energy; ode energy consumption rate; number of neighbor nodes; average distance between neighboring nodes; and distance from the sink. threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. We ave also analyzed the impact of node density and different types of mobility strategies in order to investigate impact over WSN ifetime. In order to maximize the load distribution in the WSN, a predictable mobility with octagonal trajectory is proposed. This esults in improvement of overall network lifetime and latency. Results shows that the proposed scheme improves the network ifetime by 60%, conserve energy by 80%, a significant reduction of frequent Cluster Head (CH) per round selection by 25% is chieved as compared to the conventional Fuzzy and LEACH protocols. 2016 Electronics Research Institute (ERI). Production and hosting by Elsevier B.V. This is an open access article under the CC Y-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).