首页|IPSMT: Multi-objective optimization of multipath transmission strategy based on improved immune particle swarm algorithm in wireless sensor networks
IPSMT: Multi-objective optimization of multipath transmission strategy based on improved immune particle swarm algorithm in wireless sensor networks
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NSTL
Elsevier
Multipath transmission routing in dynamic wireless sensor network deployed with movable nodes is a multi-objective optimization issue with multi-parameter constraints. Traditional strategies have the deficiencies such as high computational complexity, long solving time, difficulty in obtaining optimal value and easy to fall into local solution especially in the scenario of large quantity of movable sensor nodes being deployed. Therefore, an improved immune particle swarm optimization based multipath transmission strategy (IPSMT) is presented. It contains three parts: improved immune particle swarm algorithm (IIPSO), IPSMT and fault tolerance strategy in multipath transmission routing (FTMT). IIPSO aims to improve the diversity of particle population and accelerate the convergence of multipath establishment respectively through concentration regulation mechanism and immune vaccine operation improvement. IPSMT and MTFT is to establish and optimize multiple transmission paths by considering the movable nodes’ moving distance and energy consumption quality by multi-objective optimization method. Network fault tolerance model has been established to analyze the algorithm's convergence, energy consumption balance, network fault tolerance and time complexity. Through the multi-objective optimization simulation and analysis of multipath establishment comparing with the related works, IPSMT shows good global searching ability and convergence performance as well as diversity of solution population to realize the optimization of multipath transmission routing. The whole network is proved to have good performance of transmission stability and fault tolerance.
School of Electronic Engineering Xidian University Xi'an
Key Laboratory of Intelligent Information Processing and Control of Chongqing Municipal Institutions of Higher Education Chongqing Three Gorges University
Chongqing Collaborative Innovation Sub-center of Geological Environment Monitoring and Disaster Warning of Three Gorges Reservoir Chongqing Three Gorges University
NSTL
Elsevier
