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
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Radio-Triggered Wake-Up for Wireless Sensor Networks
Real-Time Systems
TTS: a two-tiered scheduling mechanism for energy conservation in wireless sensor networks
International Journal of Sensor Networks
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In large scale applications like military surveillance, sensing coverage is essential for target detection and optimization of power consumption is important for lifetime extension of the network. In battle field, nodes are deployed randomly which results some places empty and some places dense. To assure the sensing coverage for the whole area of interest, sensors are deployed several times which represents random distribution with dense node deployment. This dense sensor deployment shows redundancy. These redundant traffics result collisions, packet losses and retransmissions. Consequently it consumes more energy and decreases the lifetime of the network. In order to use this dense sensor network efficiently to increase the lifetime of the network, it is necessary to find out a set of small number of working nodes that can cover the region of interest and reduce redundancy. In this paper, we propose a new energy efficient protocol where each node in the network takes decision to turn on or turn off in a distributed manner that results a set of small number of active nodes throughout lifetime of the network and covers sensing area of interest for target detection. It reduces redundancy, power consumption and increase the lifetime of a network. In this protocol, nodes balance their energy by going to working state based on their residual energy to keep the nodes alive to assure the coverage throughout the lifetime. The simulation results of this protocol shows that throughout network lifetime the coverage is preserved in a range from 84% to 100% and about a constant number of nodes are working.