An improved routing technique for energy optimization and delay reduction for Wireless body area networks

Abstract

Wireless Body Area Networks (WBANs) have a lot of potential applications in the medical domain for remote health monitoring. The critical concerns which have a significant impact on WBAN’s performance are energy efficiency and end-to-end latency. This paper proposes an energy-efficient routing technique for WBAN that decreases network delay, lowers the bit error rate, and increases the network’s total lifespan. To improve the performance of WBAN the proposed Energy-Efficient Adaptive Routing Technique (EEART) performs clustering, scheduling, and optimisation namely, Glowworm Swarm Optimisation (GSO). The network is initially split into clusters, and each cluster is assigned a Cluster Head (CH). During scheduling, the load is distributed among the cluster nodes based on time, priorities, and energy of nodes for effective operation of the network. The GSO adjusts the configuration dynamically in accordance with the conditions of the network for finding an optimal path. The simulation results demonstrate that the energy and latency of the WBAN network improves considerably with an increased efficiency of 30–35%. The proposed technique performs better in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), and end-to-end delay in comparison to other existing routing protocols.