Spatial tessellations: concepts and applications of Voronoi diagrams
Spatial tessellations: concepts and applications of Voronoi diagrams
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
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Connected sensor cover: self-organization of sensor networks for efficient query execution
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Differentiated surveillance for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Set k-cover algorithms for energy efficient monitoring in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
On deriving the upper bound of α-lifetime for large sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Sensor networks: a bridge to the physical world
Wireless sensor networks
On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Randomized coverage-preserving scheduling schemes for wireless sensor networks
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
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Energy efficient self-organization is a crucial method to prolong the lifetime of wireless sensor networks consisting of energy constrained sensor nodes. In this paper, we focus on a distributed node scheduling scheme to extend network lifespan. We discuss the network coverage performance when sensor nodes are deployed according to Poisson point process and reveal the internal relationship among the required coverage performance, expected network lifetime and the intensity of Poisson point process. Also the impact of uniformly distributed time asynchrony on network coverage performance is analyzed. Simulation results demonstrate that the proposed scheme works well in the presence of time asynchrony.