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Maximizing the Throughput and Fairness of a Water Quality Monitoring Wireless Sensor Network System

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This work presents a holistic solution for maximizing energy harvesting fairness and information throughput in a multi-network wireless sensor network system that could be used for water quality monitoring. Presently, most of the research works on wireless information and power transfer systems employ a single dedicated radio frequency source, while the few ones that have considered multiple dedicated radio frequency sources are faced with interference problems. Due to the doubly near-far problem, unfairness issues are experienced in multiple energy transmissions, energy harvesting and information transmission rate. In this paper, these issues are addressed by investigating a multi-group, multi-source wireless information and power transfer system. A new time-division-multiple-access model is proposed to efficiently timeslot the operation of the sensor nodes and the dedicated radio frequency sources to overcome the interference problems, and to improve the energy efficiency of the network system. Based on the proposed time-division-multiple-access model, an algorithm is developed for fair allocation of energy harvesting and information transmission timing. This work is validated through numerical comparison. The simulation results reveal that the proposed wireless information and power transfer system outperforms an existing state-of-the-art wireless information and power transfer system, regardless of the distance of the sensor nodes to the dedicated radio frequency sources and the sink node.
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Energy Resource Allocation; Resource Optimization; Water Treatment Monitoring; Wireless Sensor Network

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