Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
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
Approximation algorithms for optimization problems in graphs with superlogarithmic treewidth
Information Processing Letters
A distributed greedy algorithm for connected sensor cover in dense sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Approximation algorithms for maximum dispersion
Operations Research Letters
Improving Energy-Efficiency of Grid Computing Clusters
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
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When a sensor network is deployed for monitoring a protected region, topology control is usually used to save energy consumption, especially in a dense deployment. In this paper, we propose a new and simple topology control protocol, Convergent SparseDT, which controls the network density pretty well, and disposes of some important faults of classical topology control protocols while working with dense sensor network. It is a compromise between the energy consumption, network congestion and the area coverage. It guarantees the coverage of most of the monitored area with almost negligible communication and computing overhead. The performance of this protocol is thoroughly analyzed and simulated in NS2 simulator.