Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Energy-Balanced Routing Algorithm in Wireless Sensor Networks Using Cauchy Operator

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_24,
        author={Feng Li and Li Wang and Jiangxin Zhang and Xin Liu},
        title={Energy-Balanced Routing Algorithm in Wireless Sensor Networks Using Cauchy Operator},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Wireless sensor networks Energy-aware Router Optimization},
        doi={10.1007/978-3-319-52730-7_24}
    }
    
  • Feng Li
    Li Wang
    Jiangxin Zhang
    Xin Liu
    Year: 2017
    Energy-Balanced Routing Algorithm in Wireless Sensor Networks Using Cauchy Operator
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_24
Feng Li1,*, Li Wang1,*, Jiangxin Zhang1,*, Xin Liu2,*
  • 1: Zhejiang University of Technology
  • 2: Dalian University of Technology
*Contact email: fenglzj@zjut.edu.cn, liwang2002@zjut.edu.cn, zjx@zjut.edu.cn, liuxinstar1984@dlut.edu.cn

Abstract

Efficient and reliable routing is a critical issue in wireless sensor networks in which network availability and node lifetime involved in the course of routing design need to be deliberately considered. In this study, we propose an energy-aware routing scheme using Cauchy operator and considering the factors of node’s residual energy adjacent to current transmit node along with the routing distance. Based on Cauchy inequation, we achieved the relationships between the single-hop distance and path energy consumption as well as the overall routing distance and energy usage of the whole networks. By fixing a relay selection parameter and identifying the transmission hops appropriately, we obtain the balancing energy-aware routing algorithm. Numerical results are provided to testify the lifetime and equilibrium of the network energy by compared with traditional approaches.