On Maximizing Max-Min Source Rate in Wireless-Powered Internet of Things



Publication Details

T. He, K. Chin, S. Soh, C. Yang & J. Wen, "On Maximizing Max-Min Source Rate in Wireless-Powered Internet of Things," IEEE Internet of Things Journal, vol. 7, (11) pp. 11276-11289, 2020.


© 2014 IEEE. Future Internet-of-Things (IoT) networks will consist of radio-frequency (RF) energy harvesting devices that are charged by solar-powered power beacons (PBs). To this end, this article aims to maximize the minimum data rate of devices acting as sources operating in a multihop IoT network. The main problem is to decide the amount of energy delivered by solar-powered PBs, routing of data from each source, and link scheduling, which determines the capacity of links. To this end, we make two contributions. First, we present a linear program (LP) to optimize the max-min rate of sources. Our LP considers nonlinear RF conversion at devices, energy storage loss at devices due to the imperfect battery, and time-varying channel quality, which affect the amount of energy harvested by devices. The second contribution is a novel distributed protocol called distributed max-min rate allocation (D-MRA), whereby devices only need local information, such as their battery and data buffer state to make decisions. Our results show that the max-min rate of D-MRA is 58.25% that of LP, which requires global information, in all tested cases.

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