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• W2907390072 abstract "In this paper, we study the joint data gathering and energy harvesting (JoDGE) problem in rechargeable wireless sensor networks (RWSNs) with a mobile sink. In RWSNs, the sensor nodes are equipped with RF circuit to harvest energy from a mobile sink that moves along a pre-defined path, and at the same time, transmit gathered sensor data to the sink. Given that the consumed and harvested energy at a sensor node is proportional and inversely proportional to the square of transmission distance, a far-relay approach is proposed to select the sensor nodes closer to the path to assist the data transmission of the farther sensor nodes. Under the far-relay approach, we formulate a network utility maximization problem (NUM), and propose an optimal scheduling scheme (Opt-JoDGE), which jointly considers the power allocation, relay selection and time slot scheduling policies. By employing the Lyapunov drift theory, a near optimal buffer-battery-aware adaptive scheduling (NO-BBA) scheme is further proposed, in which the run-time status of the data buffer and battery are utilized. Extensive simulation experiments validate the feasibility and performance of JoDGE and NO-BBA. The results show that the performance of NO-BBA is close to that of Opt-JoDGE, especially when a certain delay is tolerable." @default.
• W2907390072 created "2019-01-11" @default.
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• W2907390072 date "2019-05-01" @default.
• W2907390072 modified "2023-10-01" @default.
• W2907390072 title "Mobile data gathering and energy harvesting in rechargeable wireless sensor networks" @default.
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• W2907390072 doi "https://doi.org/10.1016/j.ins.2019.01.014" @default.
• W2907390072 hasPublicationYear "2019" @default.
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