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Low energy consumption routing algorithm based on message importance in opportunistic social networks

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Abstract

With the advent of the 5G era, the number and complexity of messages on the network has exploded. Some important information needs to be forwarded first. However, in traditional opportunistic networks, the importance of messages is not paid attention to, and messages are only transmitted on key nodes. Excessive dependence on key nodes will shorten the life cycle of the network. Therefore, we propose a message importance based low energy consumption routing (MILECR) algorithm. When forwarding the message, we consider the energy of the node and the importance of the message. It solves the problems of priority forwarding of important messages and fast energy consumption of key nodes. When the cache space is insufficient, we adopt the cache replacement strategy to ensure the maximum cache space. In the simulation experiment, we analyzed the influence of the number of nodes and cache space on the algorithm. The results show that the algorithm has good performance in terms of message delivery rate, message delay, and energy consumption.

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Funding

This work was supported in The National Natural Science Foundation of China(61672540); Hunan Provincial Natural Science Foundation of China (2018JJ3299, 2018JJ3682);

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  1. School of computer science and engineering, Central South University, Chang Sha, 410075, Hu Nan, China

    Sheng Yin, Jia Wu & Genghua Yu

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  1. Sheng Yin
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  2. Jia Wu
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Correspondence to Jia Wu.

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Yin, S., Wu, J. & Yu, G. Low energy consumption routing algorithm based on message importance in opportunistic social networks. Peer-to-Peer Netw. Appl. 14, 948–961 (2021). https://doi.org/10.1007/s12083-021-01072-y

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