Research on wireless sensor location technology for biologic signal measuring based on intelligent bionic algorithm
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Research on wireless sensor location technology for biologic signal measuring based on intelligent bionic algorithm Binbin Jiang 1 Received: 19 March 2020 / Accepted: 14 May 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Biological signal measurement system based on wireless sensor network is a combination of traditional medical monitor and modern communication technology. It is of great significance for clinical application and the development of medical instruments, especially in family medical treatment. The application of intelligent bionic algorithm in wireless sensor network node location has become a hot topic in academic research. Traditional particle swarm optimization (PSO), as a common method to solve optimization problems, has great advantages in finding the optimal solution iteratively. However, the convergence speed of PSO cannot be adjusted dynamically according to the operation degree of the algorithm, therefore it is easy to go into the situation of finding the local optimal solution. To solve these above problems, this paper proposes a DV-Hop localization algorithm based on particle swarm bionic optimization, which improves the performance of traditional PSO algorithm from three aspects: population selection, inertia weight and learning factor. The simulation results show that, the algorithm can adjust the convergence speed dynamically, and jump out of the local optimal dilemma to the maximum extent, which improves the iterative accuracy of the algorithm for the biologic signal measuring system. Keywords Particle swarm optimization . Bionic algorithm . Wireless sensor network . Biologic signal measuring
1 Introduction Biological signal measurement system based on wireless sensor network is a combination of traditional medical monitor and modern communication technology. It is of great significance for clinical application and the development of medical instruments, especially in family medical treatment. Wireless sensor network has important research significance because of its huge application value, where the node location is one of its key supporting technologies. At present, the application of intelligent bionic algorithm (including genetic algorithm, PSO algorithm, etc.) in wireless sensor network node location has become a hot topic in academic research [1–3]. Classic optimization This article is part of the Topical Collection: Special Issue on Network In Box, Architecture, Networking and Applications Guest Editor: Ching-Hsien Hsu * Binbin Jiang [email protected] 1
School of Software, Nanyang Institute of Technology, Henan 473000 Nanyang, China
algorithms [4–6] include ant colony algorithm (ACO), artificial neural network (ANN), genetic algorithm (GA), simulated annealing (SA), etc. These optimization algorithms are all inspired by human beings from nature, and then they are summed up by simulating the characteristics of biological groups in nature and natural phenomena, which can be called intelligent optimization algorithm. Among the existing
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