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

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Machine Learning and Intelligent Communications (MLICOM 2016)

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.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China (No. 51404211) and Natural Science Foundation of Zhejiang Province (No. LY14F010009 and LQ14H180001) along with Foundation of Zhejiang Educational Committee (No. Y201431820), Zhejiang Open Foundation of the Most Important Subjects (No. 20150705) and the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045.

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Correspondence to Feng Li .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, F., Wang, L., Zhang, J., Liu, X. (2017). Energy-Balanced Routing Algorithm in Wireless Sensor Networks Using Cauchy Operator. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_24

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  • DOI: https://doi.org/10.1007/978-3-319-52730-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52729-1

  • Online ISBN: 978-3-319-52730-7

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