Global power management system for self-powered autonomous wireless sensor node

Trong Nhan Le 1
1 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
Abstract : The limited energy and recharge cycles of batteries are crippling the design of autonomous Wireless Sensor Networks (WSNs). To overcome this issue, everlasting harvested energy and supercapacitor-based energy storage are considered as potential solutions to achieve a theoretically infinite lifetime. A Power Manager (PM) is embedded in each WSN node to respect the Energy Neutral Operation condition (ENO), which means harvested energy is equal to consumed energy for a long period. In this thesis, a set of PMs are proposed for energy harvesting WSN nodes to adapt their average consumed energy by changing the wake-up interval according to the available harvested energy. Our PMs are low complexity, independent of energy sources, small memory footprint and therefore, can be easily implemented on a real EH-WSN node. Another issue addressed in this thesis when considering a multi-hop EH-WSN is the effect of wake-up interval variations to the global QoS. Due to its low harvested energy, a relay node is impractical to synchronize with a transmitter if its wake-up interval regularly changes, therefore degrading the global QoS. A new power manager, named Wake-up Variation Reduction power manager (WVR-PM) is proposed to reduce the variations of the wake-up interval. By using WVR-PM, the throughput of a multi-hop EH-WSN can be improved up to 59% compare to state-of-the-art PMs while the average consumed energy for one successful communication is reduced by 45%.
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Trong Nhan Le. Global power management system for self-powered autonomous wireless sensor node. Networking and Internet Architecture [cs.NI]. Université Rennes 1, 2014. English. ⟨NNT : 2014REN1S048⟩. ⟨tel-01082861⟩

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