Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Sensor deployment strategy for detection of targets traversing a region
Mobile Networks and Applications
Barrier coverage with wireless sensors
Proceedings of the 11th annual international conference on Mobile computing and networking
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Analysis of a wireless sensor dropping problem in wide-area environmental monitoring
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Stochastic coverage in heterogeneous sensor networks
ACM Transactions on Sensor Networks (TOSN)
Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints
Computer Networks: The International Journal of Computer and Telecommunications Networking
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
Applying Video Sensor Networks to Nearshore Environment Monitoring
IEEE Pervasive Computing
Coverage estimation for crowded targets in visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Availability of low cost low power camera sensors is likely to make possible applications that may otherwise have been infeasible. In this paper we investigate a cost efficient camera sensor deployment strategy based on random deployment of homogeneous sensors to monitor and/or surveillance a region of interest. We assume that there are costs associated with the sensors as well as with the deployments and our goal is to minimize the total cost while satisfying the desired coverage requirement. We consider two cases which assume the sensing field is obstacle free or with obstacles, and we develop analytical methods to derive the expected coverage of a single sensor as well as the joint coverage for a given number of homogenous camera sensors. Following this we propose an adaptive sensor deployment strategy, which deploys different number of sensors in each iteration, based on our analytical method. We then evaluate the expected cost of our deployment strategy by deriving expressions for the number of deployments and the number of sensors deployed during each deployment as a function of the probability distributions of joint coverage by sensors. We carry out simulation studies to validate the analytical results. Simulation studies are also used to demonstrate that our deployment strategy leads to near optimal values of sensors and deployments and hence achieves the overall low cost.