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Abstract This paper considers a novel Internet of Things (IoT) network comprising of sensor devices and Power Beacons (PBs); both types of nodes are equipped with a Cognitive Radio (CR). In addition, these sensor devices are powered by Radio Frequency (RF) signals from PBs. Our aim is to maximize the minimum rate of devices acting as sources. We outline the first Mixed Integer Linear Program (MILP) that jointly optimizes the channel assignment of PBs and devices, beamforming vector of PBs, data routing over multiple hops and link activation schedule of devices. We also design a distributed pr...

This paper studies a novel problem that aims to maximize the number of uploaded samples by devices in wireless powered Internet of Things (IoTs) networks. To do so, it takes advantage of ambient backscatter communications (AmBC) to help sensor devices conserve energy, and thus leaving them with more energy to collect samples. We outline a Mixed Integer Linear Program (MILP) that aims to determine the operation mode of each device in each time slot in order to maximize the total amount of uploaded samples. We also present a heuristic approach to set the operation mode of devices based on their ...

Publication Details T. He, K. Chin, S. Soh, C. Yang & J. Wen, "On Maximizing Min Source Rate in Power Beacon Assisted IoTs Networks," IEEE Transactions on Vehicular Technology, vol. 69, (10) pp. 11880-11892, 2020. Abstract © 1967-2012 IEEE. Future Internet of Things (IoTs) networks will have Radio Frequency (RF)-energy harvesting devices powered by a Power Beacon (PB). These devices will be tasked with collection and transmission of data over multiple hops to a fusion center. In this paper, our aim is to maximize the minimum data gathering rate of devices acting as sources. We formulate a Mi...