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P-TECS: An Energy Balance Algorithm for Opportunistic Networks Integrating Multiple Node Attributes

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Security and Privacy in New Computing Environments (SPNCE 2022)

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Abstract

This paper proposes an energy balance opportunistic networks routing algorithm P-TECS. The P-TECS solves the problems of energy consumption of key nodes in existing opportunistic routing algorithms. This paper defines the relay degree of communication between nodes, and designs a P-TECS opportunistic routing algorithm integrating dynamic attributes of multiple nodes. Simulation results show that in resource-constrained opportunistic networks, P-TECS significantly improves the message delivery rate and average remaining energy of nodes, and significantly reduces the routing overhead rate.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China under Grants 62061036, 61841109, and 62077032; Natural Science Foundation of Inner Mongolia under Grant 2019MS06031 and in part by the Self-Open Project of Engineering Research Center of Ecological Big Data, Ministry of Education.

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Authors and Affiliations

  1. College of Computer Science, Inner Mongolia University, Hohhot, 010021, China

    Gang Xu, Xiaoying Yang, Jingjian Chen & Baoqi Huang

  2. Inner Mongolia A.R. Key Laboratory of Data Mining and Knowledge Engineering, Inner Mongolia University, Hohhot, 010021, China

    Gang Xu, Xiaoying Yang, Jingjian Chen & Baoqi Huang

Authors
  1. Gang Xu
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  2. Xiaoying Yang
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  3. Jingjian Chen
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  4. Baoqi Huang
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Corresponding authors

Correspondence to Gang Xu or Jingjian Chen .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Qi Jiang

  2. Xidian University, Xi'an, China

    Xinghua Li

  3. Nankai University, Tianjin, China

    Ding Wang

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Xu, G., Yang, X., Chen, J., Huang, B. (2023). P-TECS: An Energy Balance Algorithm for Opportunistic Networks Integrating Multiple Node Attributes. In: Jiang, Q., Li, X., Wang, D. (eds) Security and Privacy in New Computing Environments. SPNCE 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-30623-5_11

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  • DOI: https://doi.org/10.1007/978-3-031-30623-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30622-8

  • Online ISBN: 978-3-031-30623-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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