A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Coverage Issue in Sensor Networks with Adjustable Ranges
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
Maximum Lifetime of Sensor Networks with Adjustable Sensing Range
SNPD-SAWN '06 Proceedings of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
A survey of energy-efficient scheduling mechanisms in sensor networks
Mobile Networks and Applications
Energy Efficient Coverage with Variable Sensing Radii in Wireless Sensor Networks
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Scalable localization in wireless sensor networks
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
Application-layer multicasting with Delaunay triangulation overlays
IEEE Journal on Selected Areas in Communications
Localized Delaunay triangulation with application in ad hoc wireless networks
IEEE Transactions on Parallel and Distributed Systems
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Wireless Sensor Networks (WSNs) consist of spatially-distributed autonomous sensors that can cooperatively monitor physical and environmental conditions. Because of sensors' resource-constraints in terms of size, power, and bandwidth, one of the fundamental objectives in WSNs is improving energy-efficiency. In this paper, utilizing sensors with variable sensing radii, we propose a group-based technique to obtain energy-efficient k-coverage based on our previous work with the Delaunay-Triangulation-based 1-coverage algorithm. Our sensing-radii optimization technique ensures full coverage and attains nearly-optimal energy consumption in sensing. Furthermore, our ns-2 simulations confirm that the group-based k- coverage reduces sensing energy consumption and maintains a sound coverage ratio for reliable surveillance.