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  • Open Access

    ARTICLE

    A Multi-Objective Metaheuristics Study on Solving Constrained Relay Node Deployment Problem in WSNS

    Wenjie Yu, Xunbo Li, Hang Yang, Bo Huang

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 367-376, 2018, DOI:10.1080/10798587.2017.1294873

    Abstract This paper studies how to deploy relay nodes into traditional wireless sensor networks with constraint aiming to simultaneously optimize two important factors; average energy consumption and average network reliability. We consider tackling this multi-objective (MO) optimization problem with three metaheuristics, which employ greatly different evolutional strategies, and aim at an in-depth analysis of different performances of these metaheuristics to our problem. For this purpose, a statistical procedure is employed to analyse the results for confidence, in consideration of two MO quality metrics; hypervolume and coverage of two sets. After comprehensive analysis of the results, it More >

  • Open Access

    ARTICLE

    A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks

    Jin Wang1,2, Chunwei Ju2, Yu Gao2, Arun Kumar Sangaiah3, Gwang-jun Kim4,*

    CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 433-446, 2018, DOI:10.3970/cmc.2018.04132

    Abstract Wireless Sensor Networks (WSNs) are large-scale and high-density networks that typically have coverage area overlap. In addition, a random deployment of sensor nodes cannot fully guarantee coverage of the sensing area, which leads to coverage holes in WSNs. Thus, coverage control plays an important role in WSNs. To alleviate unnecessary energy wastage and improve network performance, we consider both energy efficiency and coverage rate for WSNs. In this paper, we present a novel coverage control algorithm based on Particle Swarm Optimization (PSO). Firstly, the sensor nodes are randomly deployed in a target area and remain More >

  • Open Access

    ABSTRACT

    Bridge Health Mornitoring using Wireless Sensor Networks

    Byung-wan Jo1, Do-keun Kim2, Sung-keun Song3, Suk-un Kim4

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.4, pp. 167-172, 2007, DOI:10.3970/icces.2007.001.167

    Abstract Wireless sensor networks bring new challenges to Bridge monitoring. To monitor a bridge, behavior, including vibration and displacement, must be measured to analyze the health of the structure based on measured and collected data. The collected data can be used to compute modal properties of the bridge. A bridge is moved by external forces, including wind, seismic activity, and traffic. So it is very hard reliance of safety through a preexistence method which uses Data Logger. Dynamic behavior of a bridge is difficult to measure because of costs and installation methods. In this paper, a More >

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