Abstract
We propose a novel data-delivery method for delay-sensitive traffic that significantly reduces the energy consumption in wireless sensor networks without reducing the number of packets that meet end-to-end real-time deadlines. The proposed method, referred to as SensiQoS, leverages the spatial and temporal correlation between the data generated by events in a sensor network and realizes energy savings through application-specific in-network aggregation of the data. SensiQoS maximizes energy savings by adaptively waiting for packets from upstream nodes to perform in-network processing without missing the real-time deadline for the data packets. SensiQoS is a distributed packet scheduling scheme, where nodes make localized decisions on when to schedule a packet for transmission to meet its end-to-end real-time deadline and to which neighbor they should forward the packet to save energy. We also present a localized algorithm for nodes to adapt to network traffic to maximize energy savings in the network. Simulation results show that SensiQoS improves the energy savings in sensor networks where events are sensed by multiple nodes, and spatial and/or temporal correlation exists among the data packets. Energy savings due to SensiQoS increase with increase in the density of the sensor nodes and the size of the sensed events.
Highlights
Wireless sensor networks (WSNs), consisting of large numbers of sensor nodes, have enabled a new monitoring and sensing paradigm for large geographical areas
We propose SensiQoS, a novel data delivery scheme for delay-sensitive traffic that significantly reduces the energy consumption in wireless sensor networks without reducing the number of packets that meet end-to-end realtime deadlines
We investigate the effect of location error on the energy savings of SensiQoS
Summary
Wireless sensor networks (WSNs), consisting of large numbers of sensor nodes, have enabled a new monitoring and sensing paradigm for large geographical areas. We propose SensiQoS, a novel data delivery scheme for delay-sensitive traffic that significantly reduces the energy consumption in wireless sensor networks without reducing the number of packets that meet end-to-end realtime deadlines. SensiQoS maximizes the energy savings by adaptively waiting for packets from upstream nodes to perform innetwork processing without missing the real-time deadline of the data packets. It uses a distributed scheduling scheme, where nodes make localized decisions on when to schedule a packet for transmission to save energy and to which neighbor they should forward the packet to meet its end-to-end realtime deadline.
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More From: International Journal of Distributed Sensor Networks
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