ELECTRE I-based Zone Head Selection in WSN-Enabled Internet of Things

In Wireless Sensor Network (WSN)-enabled Internet of Things (IoT) environment, potential resource utilization and efficient service delivery are of great interest. In specific, IoT-based networks completely depend on energy-efficient clustering architecture that is used for transferring data between heterogeneous devices, and optimal energy-aware deployment methods in WSN. Clustering-based energy-efficient routing and sensor node deployment are identified to extend network lifetime. Efficient selection of Zone Heads (ZHs) during the process of partitioning the network into different zones or clusters is essential for maximizing the reachability of nodes within clusters, and for achieving better communication with the Base Station (BS). In this paper, ELECTRE I-based Zone Head Selection (EZHS) scheme based on distinct factors such as number of times a node is selected as ZH, distance of the sensor node from the center, distance between adjacent nodes and level of energy is proposed, since they directly influence network lifetime and drain of node energy. It adopts the merits of ELECTRE I-based Multi-Criteria Decision Making (MCDM) model for determining the relative influence of impactful parameters during the process of ZH selection. The results of the proposed EZHS approach confirm an improvement in network lifetime by 21.98% and network stability by 22.94% in contrast to the benchmarked strategies.