Abstract
In this study, we investigate the edge offloading of sensory data in the internet of things. Multiple edge servers cooperatively offloading all or part of the sensory data initially sent to a cloud center, which improves users’ experience. In the process of cooperative offloading, the transmission of sensory data and information exchange among edge servers will consume system resources, resulting in a cost of cooperation. How to maximize the offloading ratio of sensing data while maintaining a low collaboration cost is a challenge. This study first formulates a joint optimization problem of the sensing data offloading ratio and cooperative ratio satisfying the constraints of network delay and system energy consumption. Subsequently, a distributed alternating direction method of multipliers (ADMM) via constraint projection and variable splitting is proposed to solve the problem. The numerical results show that the proposed method greatly improves network delay and energy consumption compared to the fairness cooperation algorithm.
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Funding
This study was funded in part by the National Natural Science Foundation of China (62072159, U1804164 and 61902112), in part by the Science and Technology Foundation of Henan Educational Committee (19A510015, 20A520019 and 20A520020).
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Yuan, P., Shao, S., Zhang, J. et al. Cooperative edge offloading strategy for sensory data with delay and energy constraints. Wireless Netw 29, 3469–3478 (2023). https://doi.org/10.1007/s11276-023-03404-7
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DOI: https://doi.org/10.1007/s11276-023-03404-7