PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Maximal Coverage Scheduling in Randomly Deployed Directional Sensor Networks
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
Cover Set Problem in Directional Sensor Networks
FGCN '07 Proceedings of the Future Generation Communication and Networking - Volume 01
Some problems of directional sensor networks
International Journal of Sensor Networks
Priority-based target coverage in directional sensor networks using a genetic algorithm
Computers & Mathematics with Applications
Energy Efficient Target-Oriented Scheduling in Directional Sensor Networks
IEEE Transactions on Computers
On coverage problems of directional sensor networks
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
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Prolonging lifetime of directional sensor networks is one of the hot topics these days because of vast application of these kinds of sensors. Since, the depletion of energy from one sensor indicates a lack of information being communicated from one part of the network. Hence, managing energy consumption of each sensor becomes critical. In this paper one approach for improving sensor network lifetime based upon appropriate utility function is investigated. It is presumed that in order to extend sensor lifetime, each target requires different quality of coverage. In the first part of the paper, utility function is introduced and formulated. Then, categorizing algorithm is elucidated and the optimum candidate for utility function is presented. Lastly, simulation results show the effect of utility function on network lifetime. It is shown that by changing utility function we could obtain different network lifetime. Ultimately, using optimum utility function is a method for increasing network lifetime.