An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Optimizing Sensor Networks in the Energy-Latency-Density Design Space
IEEE Transactions on Mobile Computing
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Detection Performance and Energy Efficiency of Sequential Detection in a Sensor Network
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 09
Power-aware microsensor design
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
Towards optimal sleep scheduling in sensor networks for rare-event detection
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Sensing capacity for discrete sensor network applications
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
QoM and lifetime-constrained random deployment of sensor networks for minimum energy consumption
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
On target tracking with binary proximity sensors
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Eco: an ultra-compact low-power wireless sensor node for real-time motion monitoring
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Decentralized detection in sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
IEEE Transactions on Information Theory
Energy-efficient coverage for target detection in wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Sensing workload scheduling in hierarchical sensor networks for data fusion applications
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
A framework for QoI-inspired analysis for sensor network deployment planning
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Energy scaling laws for distributed inference in random fusion networks
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Energy-efficient routing for signal detection in wireless sensor networks
IEEE Transactions on Signal Processing
Information quality aware routing in event-driven sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
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This is our first step towards a holistic investigation of the minimum energy for wireless sensor network (WSN) to perform a specific function. We consider wireless sensor networks that perform an event detection function. Each sensor node will repetitively collect a 1-bit information regarding whether the event occurs or not in its neighborhood. A fusion center will make the decision on whether the event occurs based on the information provided by individual sensor nodes. Traditionally, a centralized scheme requires each sensor node to forward all its observations to the fusion center, which results in large energy in communication. A distributed scheme, on the other hand, allows each sensor node to make its own decision and then send out only its 1-bit decision. This reduces communication energy at the cost of increased processing energy and reduced detection accuracy.We propose a hybrid energy-driven scheme where each sensor node sends out its 1-bit decision if that decision exceeds a pre-determined detection accuracy threshold, and sends out all its observations otherwise. This scheme provides WSN designers the flexibility to balance detection accuracy, sensor density, and energy consumption. We develop the optimal decision rules for this scheme. We also propose methods to calculate the detection accuracy threshold for individual sensor node to guarantee the overall detection accuracy at the fusion center. The simulation results show that the hybrid scheme consumes significantly less energy than both centralized and distributed schemes to achieve the same detection accuracy.