hPSO-SA: hybrid particle swarm optimization-simulated annealing algorithm for relay node selection in wireless body area
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hPSO-SA: hybrid particle swarm optimization-simulated annealing algorithm for relay node selection in wireless body area networks Naveen Bilandi 1,2 & Harsh K. Verma 1 & Renu Dhir 1
# Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In the modern world, wireless body area networks (WBANs) play an essential role in psychological and biomedical applications. The use of WBANs in medical applications is limited due to various issues related to the sensors, viz., irregularity in data production, replacement and recharging of their batteries and the energy consumed by the networks. This manuscript addresses how these problems can be solved along with optimization of the energy consumption through efficient design of the system by applying routing protocols and heuristic-based optimization algorithms. In this paper, the particle swarm optimization (PSO) algorithm is a heuristic search algorithm that relies on an upgrade mechanism of the velocity and position of swarms. Although PSO has excellent exploration capability in global search, it becomes quickly stuck in local minima. To enhance the local search function of the current PSO algorithm, a simulated annealing (SA) algorithm has been incorporated in the exploitation phase. The newly developed hybrid PSO-SA (hPSO-SA) algorithm is validated with other state-of-the-art nature-inspired algorithms on eighteen benchmarks and five real engineering design problems. The statistical results of the proposed hPSO-SA algorithm are promising and indicate very good efficiency. The paper also aims at the application of the proposed algorithm to the WBAN design problem for minimization of the energy consumption through better selection of the relay node. The proposed hPSO-SA algorithm outperforms twelve other metaheuristic algorithms, taking hybrid variants for comparison. Keywords Wireless body area networks . Particle swarm optimization . Simulated annealing . Energy efficiency . Relay sensor node
1 Introduction Over the years, the manifold growth in industrialization and urbanization has led to the degradation of natural resources (air, water, land) and has resulted in life-threatening diseases, such as cardiovascular diseases, and various other chronic fatal diseases, and in millions of people losing their lives.
* Naveen Bilandi [email protected] Harsh K. Verma [email protected] Renu Dhir [email protected] 1
Department of Computer Science and Engineering, National Institute of Technology, Jalandhar, India
2
Department of Computer Science and Engineering, DAV University, Jalandhar, India
The early diagnosis of diseases based on the initial symptoms, may prevent many of the fatal effects of diseases. A WBAN can be an effective technology for detecting the onset of such disorders at an early stage and has enhanced the capabilities of modern-day medical facilities. A WBAN allows placement of minuscule biosensors on or in the patient’s body to observe important bodily signals. With the mounting need for pervasive data transmission and present
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