A Novel Wake-Up Receiver with Addressing Capability for Wireless Sensor Nodes

Distributed Computing in Sensor Systems(2014)

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摘要
Emerging low-power radio triggering techniques for wireless motes are a promising approach to prolong the lifetime of Wireless Sensor Networks (WSNs). By allowing nodes to activate their main transceiver only when data need to be transmitted or received, wake-up-enabled solutions virtually eliminate the need for idle listening, thus drastically reducing the energy toll of communication. In this paper we describe the design of a novel wake-up receiver architecture based on an innovative pass-band filter bank with high selectivity capability. The proposed concept, demonstrated by a prototype implementation, combines both frequency-domain and time-domain addressing space to allow selective addressing of nodes. To take advantage of the functionalities of the proposed receiver, as well as of energy-harvesting capabilities modern sensor nodes are equipped with, we present a novel wake-up-enabled harvesting-aware communication stack that supports both interest dissemination and converge casting primitives. This stack builds on the ability of the proposed WuR to support dynamic address assignment, which is exploited to optimize system performance. Comparison against traditional WSN protocols shows that the proposed concept allows to optimize performance tradeoffs with respect to existing low-power communication stacks.
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关键词
channel bank filters,energy harvesting,frequency-domain analysis,radio transceivers,time-domain analysis,wireless sensor networks,WSN,addressing capability,dynamic address assignment,energy harvesting,energy toll,frequency-domain addressing space,low-power communication stacks,low-power radio triggering,pass-band filter bank,selective addressing,selectivity capability,time-domain addressing space,transceiver,wake-up receiver,wake-up-enabled harvesting-aware communication stack,wireless motes,wireless sensor networks,wireless sensor nodes,Wake-up radio,communication stack,energy harvesting,wireless sensor networks
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