Abstract
This paper investigates the power minimization design for a multi-user wireless powered fog computing (FC) network, where a hybrid access point (HAP) (integrated with a fog server) charges the multiple energy-limited wireless sensor devices (WSDs) via wireless power transfer (WPT). With the harvested energy, each WSD accomplishes its computation task by itself or by the fog server with a binary offloading mode. A power minimization problem is formulated by jointly optimizing the time assignment (for WPT and tasks offloading) and the WSDs’ computation mode selection (local computing or FC) under constraints of energy causality and computation rate requirement. Due to the integer and coupling variables, the considered problem is non-convex and difficult to solve. With successive convex approximate (SCA) method, a threshold-based algorithm is designed in terms of the WSDs’ channel gains. Simulation results show that the proposed algorithm is able to achieve the same performance of the enumeration-based algorithm with very low computational complexity. Moreover, it is observed that the channel gains have a great impact on computation mode selection. Specifically, the WSDs with good channel gains prefer local computing while the WSDs with poor channel gains prefer FC, which is much different from the existing sum computation rate maximization designs.
This work was supported in part by ZTE Corporation, in part by the Self-developed project of State Grid Energy Research Institute Co., Ltd. (Ubiquitous Power Internet of Things Edge Computing Performance Analysis and Simulation Based on Typical Scenarios, No. SGNY202009014) and also in part by the Beijing Intelligent Logistics System Collaborative Innovation Center (No. BILSCIC-2019KF-07).
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Li, H. et al. (2020). Power Minimization in Wireless Powered Fog Computing Networks with Binary Offloading. In: Hao, Z., Dang, X., Chen, H., Li, F. (eds) Wireless Sensor Networks. CWSN 2020. Communications in Computer and Information Science, vol 1321. Springer, Singapore. https://doi.org/10.1007/978-981-33-4214-9_10
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DOI: https://doi.org/10.1007/978-981-33-4214-9_10
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