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A Virtual-Potential-Field-Based Cooperative Opportunistic Routing Protocol for UAV Swarms

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12939))

Abstract

Due to highly dynamic links and unstable wireless channels, designing reliable and efficient routing protocols for UAV swarm networks is challenging. In this paper, a modified virtual potential field method is developed to coordinate the UAV swarm and provide local topology information. Both coordination and mutual influence between UAVs are taken into consideration for virtual force calculation. Next, a new Virtual-Potential-Field-based Cooperative Opportunistic Routing (VPFCOR) protocol is proposed. VPFCOR comprehensively combines three main metrics for candidate ordering, i.e., forwarding distance, virtual force and remaining energy. With these metrics, VPFCOR can effectively adapt to different tasks, take smaller routing overhead and meet the real-time requirement. Simulation results are presented to obtain the optimal parameter settings and validate the effectiveness of our proposed protocol.

This work was supported in part by the National Natural Science Foundation of China (No. 61902182), the Natural Science Foundation of Jiangsu Province of China (No. BK20190409), the Aeronautical Science Foundation of China (No. 2016ZC52029), Qing Lan Project of Jiangsu Province of China, China Postdoctoral Science Foundation (No. 2019TQ0153), and the Foundation of CETC Key Laboratory of Aerospace Information Applications of China (No.SXX18629T022).

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Correspondence to Lei Lei .

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Yan, M., Lei, L., Cai, S., Wang, J. (2021). A Virtual-Potential-Field-Based Cooperative Opportunistic Routing Protocol for UAV Swarms. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12939. Springer, Cham. https://doi.org/10.1007/978-3-030-86137-7_45

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  • DOI: https://doi.org/10.1007/978-3-030-86137-7_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86136-0

  • Online ISBN: 978-3-030-86137-7

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