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• W2981091315 abstract "In this paper, a new algorithm is proposed for computing the node-disjoint optimal transmission energy consumption route for coded cooperative mobile IoT networks. Inspired by the potential benefits user cooperation can provide, we incorporate user cooperation to the mobile ad-hoc multi-hop IoT networks. Our results include a novel ant colony system-based node-disjoint energy-efficient routing algorithm. Ant colony system can approximate the optimal route by local information and is thus very suitable for mobile IoT network environment. In particular, ant algorithm makes history-sensitive choice and thus can significantly outperform the greedy algorithm. In addition, it can efficiently handle the case of multiple sources and multiple destinations. For a large IoT network, we investigate the multi-scale ant colony system and when compared to Dijkstra algorithm, such an algorithm usually shortens the runtime by a factor of several hundred." @default.
• W2981091315 created "2019-10-25" @default.
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• W2981091315 date "2019-12-09" @default.
• W2981091315 modified "2023-09-24" @default.
• W2981091315 title "Ant Colony System for Energy Consumption Optimization in Mobile IoT Networks" @default.
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• W2981091315 doi "https://doi.org/10.1142/s0218126620501509" @default.
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