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• W2884568488 abstract "In this paper, model-predictive-control (MPC) framework is proposed for an online power control and data scheduling of energy-harvesting (EH) multi-hop wireless-sensor-networks (WSNs). The network consists of M sensor nodes transmitting their sensed information to a sink node through multi-hop transmission. Each sensor node has a battery of limited capacity to save the harvested energy and a buffer of limited size to store both the sensed and relayed data. The dynamic resource allocation problem is formulated using the MPC framework aiming to efficiently utilize the available harvested energy and transmit the data of all sensor nodes. The solution of the proposed MPC framework is compared with an offline solution, which is obtained assuming prior knowledge of the sensed data and harvested energy. Simulation results demonstrate the merits of the proposed approach." @default.
• W2884568488 created "2018-08-03" @default.
• W2884568488 creator A5042200785 @default.
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• W2884568488 date "2018-06-01" @default.
• W2884568488 modified "2023-09-25" @default.
• W2884568488 title "MPC for Online Power Control in Energy Harvesting Sensor Networks" @default.
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• W2884568488 doi "https://doi.org/10.1109/vtcspring.2018.8417663" @default.
• W2884568488 hasPublicationYear "2018" @default.
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