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Opportunistic Network Routing Algorithm Based on Ferry Node Cluster Active Motion and Collaborative Computing

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Wireless Algorithms, Systems, and Applications (WASA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13471))

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Abstract

In opportunistic network with node clusters, it is usually necessary to set up ferry nodes to connect each cluster to achieve the overall connectivity of the network, and the movement pattern of ferry nodes has an important impact on the overall performance of the network. The existing opportunistic network routing algorithms based on ferry nodes suffer from insufficient resource utilization and inefficient collaboration among multiple nodes in resource optimization and collaborative work, which often leads to low overall network delivery probability and high network load. Therefore, this paper proposes a cooperative routing algorithm for multiple ferry nodes based on active motion mode (ORABAC), in which ferry nodes actively realize the planning of motion paths according to their states and network message forwarding requirements, while multiple ferry nodes in the network realize cooperative work. Simulation results show that the proposed routing algorithm achieves higher delivery probability and less delivery latency while reducing the energy consumption of ferry nodes and restraining network overhead.

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Acknowledgment

This work was partially supported by the National Natural Science Foundation of China under Grant 62061036,61841109 and 62077032, Natural Science Foundation of Inner Mongolia under Grand 2019MS06031, Inner Mongolia Autonomous Region Graduate Research Innovation Project S20210127Z.

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Correspondence to Gang Xu .

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Xu, G., Tang, Q., Wang, Z., Huang, B. (2022). Opportunistic Network Routing Algorithm Based on Ferry Node Cluster Active Motion and Collaborative Computing. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13471. Springer, Cham. https://doi.org/10.1007/978-3-031-19208-1_51

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  • DOI: https://doi.org/10.1007/978-3-031-19208-1_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19207-4

  • Online ISBN: 978-3-031-19208-1

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