Optimized Multiple Mobile-Sink Energy Efficient Clustering Algorithm in Wireless Sensor Networks

Due to their versatility, Wireless Sensor Networks (WSNs) have garnered substantial attention. One critical aspect of WSNs is energy efficiency, particularly in scenarios involving multiple mobile sinks. This research proposes an Optimized Multiple Mobile-Sink Energy Efficient Clustering Algorithm (O-MMECA) scheme to enhance energy utilization and protract network lifetime. The O-MMECA scheme integrates an improvised Artificial Bee Colony (ABC) algorithm. Firstly, the clustering approach is employed to define a Cluster Head (CH), which is elected by each cluster responsible for data aggregation as well as transmission to the mobile sinks. Secondly, multiple mobile sinks are optimally deployed to collect data from CHs, reducing the communication distance and energy consumption. Thirdly, an energy-aware routing protocol is utilized to establish efficient paths from CHs to sinks, considering node energy levels and network conditions. The effectiveness of the O-MMECA scheme in comparison with the existing approaches is demonstrated by the simulations. It achieves significant improvisations in energy efficiency, network lifetime, and data delivery rates, making it suitable for applications requiring reliable data collection in WSNs with multiple mobile sinks.