A Novel Bio-inspired Algorithm for Increasing Throughput in Wireless Body Area Network (WBAN) by Mitigating Inter-WBAN Interference

摘要

Wireless Body Area Network (WBAN) is a type of Wireless Sensor Network (WSN) that has tremendous applications in the healthcare domain. Transmission of the critical health data must be prioritized over periodic ones to deliver it within the stipulated time. Further, as the spectrum is limited and fixed, there is a contention among users for its usage. The objective of this paper is to maximize the system throughput by allocating the available bandwidth fairly based on the crit-icality of the data and mitigating inter-WBAN interference in a densely populated network by optimizing the transmission power. We have mathematically modeled the problem as a Linear Programming Problem (LPP) and solved it using Particle Swarm Optimization (PSO). Simulation results show that the proposed solution converges quickly. It also outperforms 802.15.6 and other existing state-of-the-art algorithms in terms of throughput, packet delivery ratio and retransmission of packets in high mobility scenarios.