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An Energy-Aware Routing Protocol with Small Overhead for Wireless Sensor Networks

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Data Mining and Big Data (DMBD 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10943))

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Abstract

Wireless Sensor Networks (WSNs) is always paid attention to by researchers. Power dissipation of a node is an important quota in WSNs. It influences the network lifetime. For extending the lifetime of WSNs researchers used many methods to save the energy of nodes. For example the energy of nodes was saved by reducing the amount of transmission data by means of data fusion. Another content which is usually researched to save the energy of nodes was routing protocol. This paper presented Small Overhead Routing Protocol (SORP) to increase the efficiency of transmission which could prolong the lifetime of nodes of WSNs while its’ amount is less than 254. And the minimum residual energy was treated as a key factor to decide the routing table together with hop count. It could avoid some nodes which were often used to relay message die much faster than the other nodes. The simulation results show that SORP could prolong the lifetime of most node in the network.

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Acknowledgments

This research work was financed by the Science Technology Department of Zhejiang Province under contract number 2017C31111 and ShaoXing University.

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Authors and Affiliations

  1. ShaoXing University, Shaoxing, 312000, China

    Yadong Yu & Jun Liu

Authors
  1. Yadong Yu
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  2. Jun Liu
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Correspondence to Yadong Yu .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  3. Tongji University, Shanghai, China

    Qirong Tang

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Yu, Y., Liu, J. (2018). An Energy-Aware Routing Protocol with Small Overhead for Wireless Sensor Networks. In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_54

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  • DOI: https://doi.org/10.1007/978-3-319-93803-5_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93802-8

  • Online ISBN: 978-3-319-93803-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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