An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
Sensor deployment and target localization in distributed sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Movement-Assisted Sensor Deployment
IEEE Transactions on Mobile Computing
Deploying wireless sensors to achieve both coverage and connectivity
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Adaptive Triangular Deployment Algorithm for Unattended Mobile Sensor Networks
IEEE Transactions on Computers
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
Using Local Geometry for Tunable Topology Control in Sensor Networks
IEEE Transactions on Mobile Computing
Localized sensor self-deployment for guaranteed coverage radius maximization
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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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In focused coverage problem, sensors are required to be deployed around a given point of interest (POI) with respect to a priority requirement: an area close to POI has higher priority to be covered than a distant one. A localized sensor self-deployment algorithm, named Greedy-Rotation-Greedy (GRG) [9], has recently been proposed for constructing optimal focused coverage. The previous work assumed obstacle-free environment and focused on theoretical aspects. In this paper, we remove this strong assumption and extend GRG to practical settings. We equip with a novel obstacle "penetration" technique and give it the important obstacle avoidance capability. The new version of GRG is referred to as GRG/OP. Through simulation, we evaluate its performance in comparison with plain GRG.