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RAPAR: Routing algorithm based on node relationship mining in opportunistic network

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Abstract

Information-assisted routing algorithms improve the performance of mobile opportunistic networks (MONs), where node utility and packet redundancy are used in the data forwarding process. Making a tradeoff between the forwarding performance and network overhead is the key problem in MONs. In this study, we propose a multiple-copy routing scheme based on node relationship mining. This scheme considers the influence of the difference and dynamic variability of the relationship between nodes on the routing packets. First, it uses the complex contact information of the nodes to reflect the social relationship of the nodes. Second, to further reduce the network overhead, the relationship model is constructed using the Apriori algorithm to calculate the social forwarding utility of the node. The experimental results show that the proposed scheme can achieve better network performance. This effectively reduces the network overhead on the premise of higher delivery rate and lower transmission delay.

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Acknowledgements

This study was supported in part by the National Natural Science Foundation of China under Grants 62072159, U1804164, 61902112 and by the Science and Technology Foundation of Henan Educational Committee under Grants 19A510015, 20A520019 and 20A520020.

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Authors and Affiliations

  1. School of Computer and Information Engineering, Henan Normal University, Xinxiang, Henan, 453007, China

    Peiyan Yuan, Saike Shao & Xiaoyan Huang

  2. Big Data Engineering Laboratory for Teaching Resources, Xinxiang, Henan, China

    Peiyan Yuan, Saike Shao & Xiaoyan Huang

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  1. Peiyan Yuan
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  2. Saike Shao
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  3. Xiaoyan Huang
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Correspondence to Peiyan Yuan.

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Yuan, P., Shao, S. & Huang, X. RAPAR: Routing algorithm based on node relationship mining in opportunistic network. Peer-to-Peer Netw. Appl. 15, 1953–1963 (2022). https://doi.org/10.1007/s12083-022-01331-6

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  • DOI: https://doi.org/10.1007/s12083-022-01331-6

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