EngineeringWireless Sensor SystemPower ControlSensor ConnectivityGeneralized FormulationSchedulability DecisionSystems EngineeringMobile ChargerInternet Of ThingsWireless ModelingTopology ControlElectrical EngineeringEnergy HarvestingComputer EngineeringPessimistic ConditionSmart GridEnergy ManagementReal-time SystemsEnergy-efficient Networking
Wireless Rechargeable Sensor Networks (WRSNs) have received wide attention in recent years due to their potential to solve the energy problem. With a Mobile Charger (MC), the newly developed charging schemes can be readily applied on a WRSN running traditional protocols. An essential issue in deploying a WRSN is to decide the schedulability of its charging mission. Because one must determine whether the MC can guarantee that no sensor node will stop working within a target lifetime, before designing any specific charging schemes. To tackle the decision problem, this paper proposes an optimistic and a pessimistic condition that can efficiently determine the schedulability of a charging mission. Both of the decision conditions are derived from a generalized formulation of charging schedules. If the MC meets the optimistic condition of a charging mission, a simple and efficient charging scheme can be immediately applied to keep continuous working of the WRSN. While if the pessimistic condition of a charging mission is not met, no valid charging schedule exists. Three methods can be considered when schedulability of a charging mission is still undetermined.
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Brad Karp, H. T. Kung · 2000 · 7K citations
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André Kurs, Aristeidis Karalis, Robert Moffatt et al. · Science · 2007 · 5.5K citations · Full text
Electrical Engineering, Energy Harvesting, Power Transfer +10
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