Improving wireless sensor network lifespan with optimized clustering probabilities, improved residual energy LEACH and energy efficient LEACH for corner-positioned base stations

Abstract

The goal of this paper's novel energy-conscious routing method is to optimize energy usage and extend network lifespans using a new clustering probability. Versatile arrangements and a longer network lifespan (until the last node dies) are achieved through cluster-based routing strategies. Existing algorithms, such as low energy adaptive clustering hierarchy (LEACH), residual energy LEACH (RES-EL), and distributed residual energy LEACH (DIS-RES-EL), have been compared to the newly proposed algorithms: improved residual energy LEACH (IMP-RES-EL) and energy efficient LEACH (EEL). IMP-RES-EL and EEL outperform all other stated algorithms by extending the network lifespan, enhancing stability, increasing the number of aggregated data packets transmitted from cluster heads to the base station (BS), and selecting cluster heads with energy efficiency and optimal routing within the network. The proposed approaches outperform existing algorithms, particularly when every corner-located BS is considered in the wireless sensor network (WSN). The network lifespan in rounds increased by 36 %, the number of aggregated data packets from cluster heads to the BS increased by 44 %, and the efficiency of corner-located BSs improved by 20 %. Extensive simulations on five distinct topologies were reviewed and compared to the three techniques listed above, demonstrating the superiority of the proposed algorithms.

Keywords

• Clustering algorithms
• Cluster heads
• Corner-located base station
• Homogeneous network
• Wireless sensor networks