The coverage problem in a wireless sensor network
Mobile Networks and Applications
Reconfiguration methods for mobile sensor networks
ACM Transactions on Sensor Networks (TOSN)
Maximal Coverage Scheduling in Randomly Deployed Directional Sensor Networks
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
Cover Set Problem in Directional Sensor Networks
FGCN '07 Proceedings of the Future Generation Communication and Networking - Volume 01
Review: Coverage and connectivity issues in wireless sensor networks: A survey
Pervasive and Mobile Computing
Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints
Computer Networks: The International Journal of Computer and Telecommunications Networking
Voronoi Based Area Coverage Optimization for Directional Sensor Networks
ISECS '09 Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01
Angular Mobility Assisted Coverage in Directional Sensor Networks
NBIS '09 Proceedings of the 2009 International Conference on Network-Based Information Systems
An electrostatic field- based coverage-enhancing algorithm for wireless multimedia sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Movement Assisted Sensor Deployment in Directional Sensor Networks
MSN '10 Proceedings of the 2010 Sixth International Conference on Mobile Ad-hoc and Sensor Networks
On coverage issues in directional sensor networks: A survey
Ad Hoc Networks
simDSN: A Simulation Platform for the Sensing Coverage Problem in Directional Sensor Networks
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
Voronoi-based coverage improvement approach for wireless directional sensor networks
Journal of Network and Computer Applications
| Hi-index | 0.00 |
In directional sensor networks (DSNs), motility capability of a directional sensor node has a considerable impact on the coverage enhancement after the initial deployment. Since random deployment may result in overlapped field of views (FoVs) and occluded regions, directional sensor nodes with rotatable mechanisms may reorganize their working directions to improve the coverage. Our proposed algorithm, Attraction Forces of Uncovered Points (AFUP), aims at both minimizing the overlapped areas and facing the working directions towards the area of interest. AFUP is a distributed iterative algorithm and exploits the repel forces exerted by the uncovered points around the sensor nodes. The proposed algorithm improves the coverage by 18%-25% after the initial deployment. Moreover, AFUP outperforms three well-known area coverage enhancement methods [15] [19] [16] in terms of coverage improvement and overlap minimization. Our simulation results show that AFUP converges in five iterations in most of the scenarios.