Sensor deployment strategy for target detection
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
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Differentiated surveillance for 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
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Meeting lifetime goals with energy levels
Proceedings of the 5th international conference on Embedded networked sensor systems
Low-coordination wake-up algorithms for multiple connected-covered topologies in sensor nets
International Journal of Sensor Networks
On meeting lifetime goals and providing constant application quality
ACM Transactions on Sensor Networks (TOSN)
Efficient K-coverage grouping scheduling in wireless sensor networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
The reliability of detection in wireless sensor networks: modeling and analyzing
EUC'07 Proceedings of the 2007 international conference on Embedded and ubiquitous computing
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
Review: From wireless sensor networks towards cyber physical systems
Pervasive and Mobile Computing
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In this article, we propose several decentralized protocols that schedule sensors' active and sleeping periods to prolong the network lifetime while maintain the sensing field sufficiently covered. The proposed protocols are based on a model similar to that of Yan et al. [2003], but improve its results in several senses. First, our approach can significantly reduce the computational complexity incurred, and at the same time achieve better accuracy in determining the coverage of the sensing area. Second, we extend the result such that it can support multilayer coverage of the sensing field. Third, we further enhance it [Yan et al. 2003] by proposing several optimization mechanisms to balance or reduce sensors' energy expenditure.