Directional Sensor Placement with Optimal Sensing Range, Field of View and Orientation
Mobile Networks and Applications
On sensor placement for directional wireless sensor networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Scalable target coverage in smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Effect of Utility Function on Lifetime of Directional Sensor Networks
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
On coverage issues in directional sensor networks: A survey
Ad Hoc Networks
A new coverage improvement algorithm based on motility capability of directional sensor nodes
ADHOC-NOW'11 Proceedings of the 10th international conference on Ad-hoc, mobile, and wireless networks
Area coverage enhancement schemes in directional sensor networks
International Journal of Internet Protocol Technology
Coverage algorithms for visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
A hybrid optimisation algorithm for coverage enhancement in 3D directional sensor networks
International Journal of Sensor Networks
Voronoi-based coverage improvement approach for wireless directional sensor networks
Journal of Network and Computer Applications
Journal of Network and Computer Applications
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Unlike traditional omni-directional sensors that always have an omni-angle of sensing range, directional sensors may be able to switch to several directions and each direction has a limited angle of sensing range. Area coverage is still an essential issue in a directional sensor network which consists of a number of directional sensors. In this paper, we study a novel "area coverage by directional sensors" problem. We propose the Maximum Directional Area Coverage (MDAC) problem to maximize covered area by scheduling the working directions of the sensors in the network. We prove the MDAC to be NP-complete and propose one distributed scheduling algorithm for the MDAC. Simulation results are also presented to demonstrate the performance of the proposed algorithm.