2017 · 10 citations · 8 references
ComputingComputer SystemsEnergy ManagementEnergy Resource ManagementEnergy SystemsEnergy Management SystemsEnergy UseSensor NetworksWireless NetworksWireless Sensor NetworksEnergy ConsumptionEnergy HarvestingEnergy Harvesting SystemsEnergy-efficient Wireless Sensor NetworksPower ConsumptionSleepSleep TimeWireless Sensor Energy Management
To improve the performances of wireless sensor network (WSN) and its lifetime, the management of power consumption and the energy harvesting is crucial. In this paper, we propose an energy-harvested management mechanism (EH2M) for WSN, in order to minimize the duty-cycle on the basis of the present amount remaining energy. With EH2M, each sensor node can adjust its duty-cycle dynamically by computing its sleep time on the basis of remaining energy. Additionally, our proposed mechanism provides a balance between the energy consumption and the energy harvesting capability of each sensor node in WSN. Via OMNeT++/MiXiM simulations, we proved that our proposed mechanism improves the performance of WSN by comparison with other existing energy harvesting management mechanism such as the Energy Neutral Operation (ENO) state by integrating these two mechanisms in receiver-initiated MAC communication type.
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Michael Buettner, Gary V. Yee, Eric Anderson et al. · 2006 · 1.7K citations
Power management in energy harvesting sensor networks
Aman Kansal, Jason C. Hsu, Sadaf Zahedi et al. · ACM Transactions on Embedded Computing Systems · 2007 · 1.5K citations
Yanjun Sun, Omer Gurewitz, David B. Johnson · 2008 · 694 citations