Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Differentiated surveillance for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
Optimizing tree reconfiguration to track mobile targets in sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Set k-cover algorithms for energy efficient monitoring in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Naps: scalable, robust topology management in wireless ad hoc networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
On deriving the upper bound of α-lifetime for large sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Worst and Best-Case Coverage in Sensor Networks
IEEE Transactions on Mobile Computing
Global Clock Synchronization in Sensor Networks
IEEE Transactions on Computers
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
How many sensors for an acceptable breach detection probability?
Computer Communications
Energy-quality tradeoffs for target tracking in wireless sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Energy based acoustic source localization
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Acoustic target tracking using tiny wireless sensor devices
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Analyzing object detection quality under probabilistic coverage in sensor networks
IWQoS'05 Proceedings of the 13th international conference on Quality of Service
Design and analysis of wave sensing scheduling protocols for object-tracking applications
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Analysis of target detection performance for wireless sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
High Performance Sleep-Wake Sensor Systems Based on Cyclic Cellular Automata
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Link scheduling in wireless sensor networks: Distributed edge-coloring revisited
Journal of Parallel and Distributed Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Data fusion improves the coverage of wireless sensor networks
Proceedings of the 15th annual international conference on Mobile computing and networking
Surveillance with wireless sensor networks in obstruction: Breach paths as watershed contours
Computer Networks: The International Journal of Computer and Telecommunications Networking
On perimeter coverage scheduling in wireless sensor networks
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Intrusion detection in Gaussian distributed heterogeneous wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Weaving a proper net to catch large objects in wireless sensor networks
IEEE Transactions on Wireless Communications
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
Coverage problems in sensor networks: A survey
ACM Computing Surveys (CSUR)
ACM Transactions on Sensor Networks (TOSN)
Exploiting data fusion to improve the coverage of wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Provable configuration planning for wireless sensor networks
Proceedings of the 8th International Conference on Network and Service Management
On energy-efficient trap coverage in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Object detection quality and network lifetime are two conflicting aspects of a sensor network, but both are critical to many sensor applications such as military surveillance. Partial coverage, where a sensing field is partially sensed by active sensors at any time, is an appropriate approach to balancing the two conflicting design requirements of monitoring applications. Under partial coverage, we develop an analytical framework for object detection in sensor networks, and mathematically analyze average-case object detection quality in random and synchronized sensing scheduling protocols. Our analytical framework facilitates performance evaluation of a sensing schedule, network deployment, and sensing scheduling protocol design. Furthermore, we propose three wave sensing scheduling protocols to achieve bounded worst-case object detection quality. We justify the correctness of our analyses through rigorous proof, and validate the effectiveness of the proposed protocols through extensive simulation experiments.