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SD-GPSR: A Software-Defined Greedy Perimeter Stateless Routing Method Based on Geographic Location Information

Author

Listed:
  • Shaopei Gao

    (Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China)

  • Qiang Liu

    (Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China)

  • Junjie Zeng

    (Institute of Telecommunication and Navigation Satellites, China Academy of Space Technology, Beijing 100094, China)

  • Li Li

    (Wuhan Maritime Communication Research Institute, Wuhan 430079, China)

Abstract

To mitigate the control overhead of Software-Defined Mobile Ad Hoc Networks (SD-MANETs), this paper proposes a novel approach, termed Software-Defined Greedy Perimeter Stateless Routing (SD-GPSR), which integrates geographical location information. SD-GPSR optimizes routing functions by decentralizing them within the data plane of SD-MANET, utilizing the geographic location information of nodes to enhance routing efficiency. The controller is primarily responsible for providing location services and facilitating partial centralized decision-making. Within the data plane, nodes employ an enhanced distance and angle-based greedy forwarding algorithm, denoted as GPSR_DA, to efficiently forward data. Additionally, to address the issue of routing voids in the data plane, we employ the A* algorithm to compute an optimal routing path that circumvents such voids. Finally, we conducted a comparative analysis with several state-of-the-art approaches. The evaluation experiments demonstrate that SD-GPSR significantly reduces the control overhead of the network. Simultaneously, there is a notable improvement in both end-to-end latency and packet loss rate across the network.

Suggested Citation

  • Shaopei Gao & Qiang Liu & Junjie Zeng & Li Li, 2024. "SD-GPSR: A Software-Defined Greedy Perimeter Stateless Routing Method Based on Geographic Location Information," Future Internet, MDPI, vol. 16(7), pages 1-17, July.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:7:p:251-:d:1436669
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    References listed on IDEAS

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    1. Sarantis Kalafatidis & Sotiris Skaperas & Vassilis Demiroglou & Lefteris Mamatas & Vassilis Tsaoussidis, 2022. "Logically-Centralized SDN-Based NDN Strategies for Wireless Mesh Smart-City Networks," Future Internet, MDPI, vol. 15(1), pages 1-21, December.
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