Abstract:Summary
In edge computing, how to save energy among sustainable edge nodes is a hot topic. ON/OFF switching of edge nodes as a key point is efficient but still suffers from the long round‐trip time problem because of its centralized control manner. Especially in the wireless network, service coverage is proved to be NP‐Complete. To this end, we propose a Distributed Swarm intelligence‐based Energy‐saving algorithm (DSE). In DSE, pheromone and residual energy are used to calculate the wake‐up probability. Throu… Show more
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