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
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Scheduling sleeping nodes in high density cluster-based sensor networks
Mobile Networks and Applications
Maintaining Coverage by Progressive Crystal-Lattice Permutation in Mobile Wireless Sensor Networks
ICSNC '06 Proceedings of the International Conference on Systems and Networks Communication
A Receiver-Based Opportunistic Forwarding Protocol for Mobile Sensor Networks
ICDCSW '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops
A Distributed Coverage-Aware Sleep Scheduling Algorithm for Wireless Sensor Networks
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Coverage in wireless ad hoc sensor networks
IEEE Transactions on Computers
IEEE Communications Magazine
Wireless Personal Communications: An International Journal
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The network coverage for wireless sensor networks is an important issue because the information may not be considered useful when the total coverage drops below a certain required level. One way to maintain good coverage and extend the network lifetime is to schedule some sensor nodes to sleep between active cycles, as well as dynamically adjust the sensing ranges of active sensors. In this paper, we propose an algorithm to determine if a sensor node should sleep based on its residual energy and the size of the overlap area between the sensor and its neighbors. For those sensors that remain active, we use our algorithm to compute the sensing range of each active sensor such that the total coverage is maintained above a user-specified requirement for as long as possible. Simulation results show that our proposed scheme achieves a better performance in providing the user-required coverage and extending the system lifetime than the Coverage-Aware and Random-Sleep methods.