Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
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
Integrated coverage and connectivity configuration in wireless 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
Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Approximate Coverage in Wireless Sensor Networks
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
Connected sensor cover: self-organization of sensor networks for efficient query execution
IEEE/ACM Transactions on Networking (TON)
Energy-efficient connected-coverage in wireless sensor networks
International Journal of Sensor Networks
Lifetime maximization for connected target coverage in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Energy-efficient coverage problems in wireless ad-hoc sensor networks
Computer Communications
Energy-Efficient connected coverage of discrete targets in wireless sensor networks
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
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In this paper, we consider the problem of scheduling sensor activity to prolong the network lifetime while guaranteeing both discrete target coverage and connectivity among all the active sensors and the sink, called connected target coverage (CTC) problem. We proposed a distributed scheme called Distributed Lifetime-Maximizing Scheme (DLMS) to solve the CTC problem. In our proposed scheme, at first the source nodes are selected to ensure the target coverage. After that, energy-efficient paths to transmit the sensory data from source nodes to the sink will be built. The cost of the construction of the connected cover graphs is significantly reduced in comparison with the some conventional schemes since the number of targets (i.e., the necessary number of source nodes) is much smaller than the number of sensor nodes in the practical environment. In addition, the energy consumption is more balanced so that the network lifetime will be increased. Our simulation results show that DLMS scheme performs much better than the conventional schemes in terms of the network lifetime.