Combinatorial Bat Optimization for WSN with Hoover Index Clustering

The rise in popularity of wireless sensor networks (WSNs) has garnered a lot of attention and offers a variety of manufacturing industries and residential day to day applications that acquire data from sensors mounted within homogeneous as well as heterogeneous networks. Battery-operated -nodes have limited energy and resources. Since WSNs are more vulnerable to assaults because they are dynamic. Energy utilization of a sensor node is crucial for effective clustering and data transmission. Nodes are clustered using the Linde-Buzo-Gray Algorithm (LBGA), and the cluster head (CH) is chosen using the LEACH protocol. Route identification and secondary CH is selected using Combinatorial Bat Optimization Algorithm (CBOA) thereby, data loss is minimized during CH failure. To validate the performance measures of energy consumption, throughput and packet delivery ratio (PDR), various experiments were carried out. The innovative approach cuts energy consumption by 11 % and elevates packet delivery ratio by 5% when benchmarked against existing approaches.