Sensor deployment strategy for target detection
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
Analysis on the redundancy of wireless sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Mobility improves coverage of sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Integrated coverage and connectivity configuration for energy conservation in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Barrier coverage with wireless sensors
Proceedings of the 11th annual international conference on Mobile computing and networking
Coverage in wireless ad hoc sensor networks
IEEE Transactions on Computers
Coverage Estimation in the Presence of Occlusions for Visual Sensor Networks
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Snap and Spread: A Self-deployment Algorithm for Mobile Sensor Networks
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Autonomous Deployment of Self-Organizing Mobile Sensors for a Complete Coverage
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
Cheap or Flexible Sensor Coverage
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Data fusion improves the coverage of wireless sensor networks
Proceedings of the 15th annual international conference on Mobile computing and networking
P&P protocol: local coordination of mobile sensors for self-deployment
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
On the coverage process of a moving point target in a non-uniform dynamic sensor field
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Mobile element assisted cooperative localization for wireless sensor networks with obstacles
IEEE Transactions on Wireless Communications
Primate-Inspired Communication Methods for Mobile and Static Sensors and RFID Tags
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Sensor allocation in diverse environments
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
More is more: The benefits of denser sensor deployment
ACM Transactions on Sensor Networks (TOSN)
Coverage estimation for crowded targets in visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
Exploiting data fusion to improve the coverage of wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Sensor allocation in diverse environments
Wireless Networks
Design of wireless sensor networks for mobile target detection
IEEE/ACM Transactions on Networking (TON)
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In this article we analyze the capabilities of various models of sensor networks with the Boolean sensing model for mobile or stationary sensors and targets, under random or optimal placement, independent or globally coordinated search, and stealthy or visible sensors. For each model we give an upper bound for the capabilities under any strategy, and a search strategy which at least asymptotically matches that bound. To ensure comparability of these models, we present them using the same parameters: the sensing radius r, sensor placement density λ, as well as the travel distance l of each sensor and d of the target. By this we obtain a complete analysis of the geometric coverage and detection capabilities of the various models of sensor networks, where we abstract from issues like communication and power management.