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Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I

Research Article

Load-Balanced Delivery Strategy for Linear Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-72792-5_57,
        author={Xuecheng Liu and Chuangeng Tian and Lei Chen},
        title={Load-Balanced Delivery Strategy for Linear Wireless Sensor Networks},
        proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I},
        proceedings_a={SIMUTOOLS},
        year={2021},
        month={4},
        keywords={Linear Wireless Sensor Networks Bridge healthy monitoring Energy balance Delivery rate},
        doi={10.1007/978-3-030-72792-5_57}
    }
    
  • Xuecheng Liu
    Chuangeng Tian
    Lei Chen
    Year: 2021
    Load-Balanced Delivery Strategy for Linear Wireless Sensor Networks
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-72792-5_57
Xuecheng Liu1, Chuangeng Tian1, Lei Chen1
  • 1: School of Information and Electrical Engineering, Xuzhou University of Technology

Abstract

Linear Wireless Sensor Networks (LWSN) play an important role in bridge healthy monitoring, such as vibration, deformation, stress and so on. It is basically based on the observation that energy balance and delivery rate directly determine the running time of the networks. So, we proposed an energy balance aggregate model. Specially, we first compute the energy consumption and data delivery of each node in the network according to LWSN network model. The calculation conditions of energy balancing and delivery rate are then obtained. Finally, we have tested the performance of the proposed model. Simulation experimental results demonstrate that the proposed method can produce reliable performance, which is suitable for bridge healthy monitoring.

Keywords
Linear Wireless Sensor Networks Bridge healthy monitoring Energy balance Delivery rate
Published
2021-04-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-72792-5_57
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