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Improving the Reliability of Optimised Link State Routing in a Smart Grid Neighbour Area Network based Wireless Mesh Network Using Multiple Metrics

Author

Listed:
  • Yakubu Tsado

    (Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK)

  • Kelum A. A. Gamage

    (Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK)

  • Bamidele Adebisi

    (School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • David Lund

    (HW Communications Ltd., Parkfield House, Greaves Rd, Lancaster LA1 4TZ, UK)

  • Khaled M. Rabie

    (School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • Augustine Ikpehai

    (School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

Abstract

Reliable communication is the backbone of advanced metering infrastructure (AMI). Within the AMI, the neighbourhood area network (NAN) transports a multitude of traffic, each with unique requirements. In order to deliver an acceptable level of reliability and latency, the underlying network, such as the wireless mesh network(WMN), must provide or guarantee the quality-of-service (QoS) level required by the respective application traffic. Existing WMN routing protocols, such as optimised link state routing (OLSR), typically utilise a single metric and do not consider the requirements of individual traffic; hence, packets are delivered on a best-effort basis. This paper presents a QoS-aware WMN routing technique that employs multiple metrics in OLSR optimal path selection for AMI applications. The problems arising from this approach are non deterministic polynomial time (NP)-complete in nature, which were solved through the combined use of the analytical hierarchy process (AHP) algorithm and pruning techniques. For smart meters transmitting Internet Protocol (IP) packets of varying sizes at different intervals, the proposed technique considers the constraints of NAN and the applications’ traffic characteristics. The technique was developed by combining multiple OLSR path selection metrics with the AHP algorithminns-2. Compared with the conventional link metric in OLSR, the results show improvements of about 23% and 45% in latency and Packet Delivery Ratio (PDR), respectively, in a 25-node grid NAN.

Suggested Citation

  • Yakubu Tsado & Kelum A. A. Gamage & Bamidele Adebisi & David Lund & Khaled M. Rabie & Augustine Ikpehai, 2017. "Improving the Reliability of Optimised Link State Routing in a Smart Grid Neighbour Area Network based Wireless Mesh Network Using Multiple Metrics," Energies, MDPI, vol. 10(3), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:287-:d:91681
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    References listed on IDEAS

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    1. Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie, 2016. "Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture," Energies, MDPI, vol. 9(7), pages 1-19, July.
    2. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
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    Cited by:

    1. Bandeiras, F. & Pinheiro, E. & Gomes, M. & Coelho, P. & Fernandes, J., 2020. "Review of the cooperation and operation of microgrid clusters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Krzysztof Przystupa & Julia Pyrih & Mykola Beshley & Mykhailo Klymash & Andriy Branytskyy & Halyna Beshley & Daniel Pieniak & Konrad Gauda, 2021. "Improving the Efficiency of Information Flow Routing in Wireless Self-Organizing Networks Based on Natural Computing," Energies, MDPI, vol. 14(8), pages 1-24, April.

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