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Physarum-inspired routing protocol for energy harvesting wireless sensor networks

Author

Listed:
  • Wenyi Tang

    (University of Electronic Science and Technology of China
    Science and Technology on Electronic Information Control Laboratory)

  • Ke Zhang

    (University of Electronic Science and Technology of China
    Science and Technology on Electronic Information Control Laboratory)

  • Dingde Jiang

    (University of Electronic Science and Technology of China)

Abstract

In order to resolve the traditional limited lifetime problem, energy harvesting technology has been introduced into wireless sensor network (WSN) in recent years, engendering a new kind of network which is called energy harvesting wireless sensor network (EHWSN). In EHWSNs, besides the traditional issues, such as energy consumption, energy equilibrium, transmission efficiency, etc., there are still new challenges, such as how to utilize harvested energy efficiently and how to make more sensor nodes so as to achieve unlimited lifetime under actual situation. In this paper, inspired by slime mold Physarum polycephalum, a novel bionic routing protocol, abbreviated as EHPRP, is proposed for EHWSNs to address above problems without predicting harvestable energy value. Three distributed routing algorithms with low algorithm complexity are proposed which would prominently reduce the processing delay and conserve energy. Furthermore, the mathematic theoretical analysis is made to prove the stability of EHPRP routing strategy. Finally, simulation results present that, compared with other typical algorithms, EHPRP consumes less energy, always making the whole network obtain an unlimited lifetime, and displaying more uniform network energy distribution under different workload conditions.

Suggested Citation

  • Wenyi Tang & Ke Zhang & Dingde Jiang, 2018. "Physarum-inspired routing protocol for energy harvesting wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(4), pages 745-762, April.
  • Handle: RePEc:spr:telsys:v:67:y:2018:i:4:d:10.1007_s11235-017-0362-8
    DOI: 10.1007/s11235-017-0362-8
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    References listed on IDEAS

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    1. Ana Paulo & Luis Pereira, 2007. "Prediction of SPI Drought Class Transitions Using Markov Chains," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(10), pages 1813-1827, October.
    2. Ali, Gibran & Wagner, John & Moline, David & Schweisinger, Todd, 2015. "Energy harvesting from atmospheric variations – Theory and test," Renewable Energy, Elsevier, vol. 74(C), pages 528-535.
    3. Shin Watanabe & Atsuko Takamatsu, 2014. "Transportation Network with Fluctuating Input/Output Designed by the Bio-Inspired Physarum Algorithm," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-11, February.
    4. Dingde Jiang & Zhengzheng Xu & Jindi Liu & Wenhui Zhao, 2016. "An optimization-based robust routing algorithm to energy-efficient networks for cloud computing," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(1), pages 89-98, September.
    5. Dingde Jiang & Zhengzheng Xu & Zhihan Lv, 2016. "A multicast delivery approach with minimum energy consumption for wireless multi-hop networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(4), pages 771-782, August.
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