Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Wireless integrated network sensors
Communications of the ACM
Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Highly-resilient, energy-efficient multipath routing in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Time Synchronization for Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Set k-cover algorithms for energy efficient monitoring in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
Characterization of location error in wireless sensor networks: analysis and applications
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks
Mobile Information Systems
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The deployment of sensor networks has attracted a lot of attention recently. In essence this issue is concerned with how well a sensing field is monitored by sensors to achieve a particular coverage. In this paper, we propose a signal-strength-based approach to evaluate how well a sensing field is covered/monitored. We first formulate object tracking by a single sensor as a Gaussian-error model. Then we establish an error model on location estimation, given that the location of an object is known. This leads to a model to evaluate a sensor network with the given locations of sensors. We then apply the result to several applications, such as adding more sensor nodes for error reduction, and scheduling power modes (awake or sleep) of sensors, and demonstrate our simulation results.