Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
Sensor deployment and target localization in distributed sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Coordinated sensor deployment for improving secure communications and sensing coverage
Proceedings of the 3rd ACM workshop on Security of ad hoc and sensor networks
Deploying wireless sensors to achieve both coverage and connectivity
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Mobility Limited Flip-Based Sensor Networks Deployment
IEEE Transactions on Parallel and Distributed Systems
Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network
IEEE Transactions on Mobile Computing
Energy-efficient deployment of Intelligent Mobile sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Scan-Based Movement-Assisted Sensor Deployment Methods in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
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Sensor deployment is an important issue for surveillance networks especially when obstacles are present in the monitored region. An intruder can hide beyond obstacles or stay at a low-covered location in order to reduce the probability of being detected. A good sensor deployment should maximize the worst-case detection probability over all possible locations of the intruder. Many heuristics have been proposed in the literature for sensor placement to achieve better detection performance. However, none of them deploy sensors based on the optimal distribution of sensors tailored for the given terrain. In this paper, a sensor deployment approach is proposed using the optimal sensor distribution as a reference. The optimal sensor distribution for the given terrain is first calculated and, then, a clustering-based approach is developed to guide sensors to appropriate locations. The effectiveness of the proposed approach is shown by simulations for regions with and without obstacles. The final deployments show that some sensors' final locations are very close to the obstacles. This is in contrast to the conventional assumption used in many previous studies.