Performance Optimization and Link Reliability in Wireless Body Area Networks

Abstract

Long-lasting connectivity and energy-efficient systems are needed for wireless body area networks (WBANs). In addition to the growing commercialization of WBANs, health monitoring applications demand improved quality of service (QoS). For WBAN performance characteristics to improve, it is essential to develop a dependable and energy-efficient link. We provide a cross-layer routing strategy for improving WBAN quality of service in this study. This method employs a cost function that linearly combines the individual absorption rate functions, node energy ratio, and link dependability. This research investigates how the performance of the network varies depending on the parameter combinations used and the size of the contention window, and we use parametric modelling of the cost function. While the development of the QoS focuses on enhancing the packet delivery success rate and network throughput for applications of WBANs, the suggested algorithm primarily increases network lifetime durability by decreasing the node energy consumption with acceptable throughput. WBAN performance optimization criteria using advanced particle swarm optimization (APSO) are proposed in this research to emphasize increasing energy economy, decreasing end-to-end delay and increasing network throughput in various existing methods. The number of live nodes for the proposed method is higher than those of the PSO-LSMR, M-ATTEMPT and EERP. The value of First Node Died is 6301. The value of residual energy, 34.7 J, is also higher for the proposed method than for the compared state-of-the-art algorithms.