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Energy-Efficient Probabilistic Routing Algorithm for Internet of Things

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  • Sang-Hyun Park
  • Seungryong Cho
  • Jung-Ryun Lee

Abstract

In the future network with Internet of Things (IoT), each of the things communicates with the others and acquires information by itself. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose energy-efficient probabilistic routing (EEPR) algorithm, which controls the transmission of the routing request packets stochastically in order to increase the network lifetime and decrease the packet loss under the flooding algorithm. The proposed EEPR algorithm adopts energy-efficient probabilistic control by simultaneously using the residual energy of each node and ETX metric in the context of the typical AODV protocol. In the simulations, we verify that the proposed algorithm has longer network lifetime and consumes the residual energy of each node more evenly when compared with the typical AODV protocol.

Suggested Citation

  • Sang-Hyun Park & Seungryong Cho & Jung-Ryun Lee, 2014. "Energy-Efficient Probabilistic Routing Algorithm for Internet of Things," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-7, April.
    • Handle: RePEc:hin:jnljam:213106
    DOI: 10.1155/2014/213106
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    Cited by:

    1. Baohui Shi & Yuexia Zhang, 2021. "A Novel Algorithm to Optimize the Energy Consumption Using IoT and Based on Ant Colony Algorithm," Energies, MDPI, vol. 14(6), pages 1-17, March.
    2. Georgios Koukis & Konstantina Safouri & Vassilis Tsaoussidis, 2024. "All about Delay-Tolerant Networking (DTN) Contributions to Future Internet," Future Internet, MDPI, vol. 16(4), pages 1-21, April.

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