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  • Open Access

    ARTICLE

    A Sensor Network Coverage Planning Based on Adjusted Single Candidate Optimizer

    Trong-The Nguyen1,2,3, Thi-Kien Dao1,2,3,*, Trinh-Dong Nguyen2,3

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3213-3234, 2023, DOI:10.32604/iasc.2023.041356

    Abstract Wireless sensor networks (WSNs) are widely used for various practical applications due to their simplicity and versatility. The quality of service in WSNs is greatly influenced by the coverage, which directly affects the monitoring capacity of the target region. However, low WSN coverage and uneven distribution of nodes in random deployments pose significant challenges. This study proposes an optimal node planning strategy for network coverage based on an adjusted single candidate optimizer (ASCO) to address these issues. The single candidate optimizer (SCO) is a metaheuristic algorithm with stable implementation procedures. However, it has limitations in avoiding local optimum traps in… More >

  • Open Access

    ARTICLE

    Intelligent Deployment Model for Target Coverage in Wireless Sensor Network

    K. Subramanian*, S. Shanmugavel

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 739-754, 2023, DOI:10.32604/iasc.2023.027248

    Abstract Target coverage and continuous connection are the major recital factors for Wireless Sensor Network (WSN). Several previous research works studied various algorithms for target coverage difficulties; however they lacked to focus on improving the network’s life time in terms of energy. This research work mainly focuses on target coverage and area coverage problem in a heterogeneous WSN with increased network lifetime. The dynamic behavior of the target nodes is unpredictable, because the target nodes may move at any time in any direction of the network. Thus, target coverage becomes a major problem in WSN and its applications. To solve the… More >

  • Open Access

    ARTICLE

    Energy-Efficient Deployment of Water Quality Sensor Networks

    Qian Sun1,2, Zhiping Shen1,2, Jinglin Liang1,2, Xiaoyi Wang1,2,*, Jiping Xu1,2, Li Wang1,2, Huiyan Zhang1,2, Jiabin Yu1,2, Ning Cao3, Ruichao Wang4

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3967-3977, 2021, DOI:10.32604/cmc.2021.017252

    Abstract Water quality sensor networks are promising tools for the exploration of oceans. Some key areas need to be monitored effectively. Water quality sensors are deployed randomly or uniformly, however, and understanding how to deploy sensor nodes reasonably and realize effective monitoring of key areas on the basis of monitoring the whole area is an urgent problem to be solved. Additionally, energy is limited in water quality sensor networks. When moving sensor nodes, we should extend the life cycle of the sensor networks as much as possible. In this study, sensor nodes in non-key monitored areas are moved to key areas.… More >

  • Open Access

    ARTICLE

    Research on Sensor Network Coverage Enhancement Based on Non-Cooperative Games

    Chaofan Duan1, Jing Feng1,*, Haotian Chang1, Jianping Pan2, Liming Duan1

    CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 989-1002, 2019, DOI:10.32604/cmc.2019.06033

    Abstract Coverage is an important issue for resources rational allocation, cognitive tasks completion in sensor networks. The mobility, communicability and learning ability of smart sensors have received much attention in the past decade. Based on the deep study of game theory, a mobile sensor non-cooperative game model is established for the sensor network deployment and a local information-based topology control (LITC) algorithm for coverage enhancement is proposed. We both consider revenue of the monitoring events and neighboring sensors to avoid nodes aggregation when formulating the utility function. We then prove that the non-cooperative game is an exact potential game in which… More >

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