Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The case for multi--tier camera sensor networks
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Virtual high-resolution for sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Maximal Coverage Scheduling in Randomly Deployed Directional Sensor Networks
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
Voronoi-based K nearest neighbor search for spatial network databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints
Computer Networks: The International Journal of Computer and Telecommunications Networking
An Adjustable Target Coverage Method in Directional Sensor Networks
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
Wireless sensor networks scheduling for full angle coverage
Multidimensional Systems and Signal Processing
Challenging issues in visual sensor networks
IEEE Wireless Communications
An adaptive joining mechanism for improving the connection ratio of ZigBee wireless sensor networks
International Journal of Communication Systems
International Journal of Ad Hoc and Ubiquitous Computing
Data Fusion with Desired Reliability in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Journal of Network and Computer Applications
Movement Assisted Sensor Deployment in Directional Sensor Networks
MSN '10 Proceedings of the 2010 Sixth International Conference on Mobile Ad-hoc and Sensor Networks
Spatial-Temporal Coverage Optimization in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
On coverage issues in directional sensor networks: A survey
Ad Hoc Networks
Lifetime extension for surveillance wireless sensor networks with intelligent redeployment
Journal of Network and Computer Applications
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
On coverage problems of directional sensor networks
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
Review: A survey on coverage and connectivity issues in wireless sensor networks
Journal of Network and Computer Applications
Distributed coverage-enhancing algorithms in directional sensor networks with rotatable sensors
ICDCN'12 Proceedings of the 13th international conference on Distributed Computing and Networking
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Differing from general omnidirectional wireless sensor networks, in the directional sensor networks, the effective sensing range of sensors is characterized by directionality and sensing angle. Therefore, there are dissimilar conditions for the discussion and research on the sensing coverage of directional sensor networks. This study used the characteristics of Voronoi diagram and direction-adjustable directional sensors to propose a distributed greedy algorithm, which can improve the effective field coverage of directional sensor networks. The sensor field is divided into Voronoi cells by the calculation of sensors, and the sensor working direction is evaluated based on Voronoi vertices. Considering the coverage contribution of convex polygonal cell of sensors and the coverage overlap of direction select between neighbor sensors, the working direction is adjusted and controlled, so as to improve the overall sensing field coverage ratio in the sensor network environment without global information. This study used simulation to change various parameters, such as the number of sensors, angle of view, and sensing radius, in the directional sensor network field to evaluate the efficiency of the proposed algorithm, and further analyzed and compared the improvement results of the overall sensing field coverage ratio.