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
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
On deriving the upper bound of α-lifetime for large sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Energy-efficient coverage for target detection in wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
p-Percent Coverage in Wireless Sensor Networks
WASA '08 Proceedings of the Third International Conference on Wireless Algorithms, Systems, and Applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Sensor scheduling for p-percent coverage in wireless sensor networks
Cluster Computing
Coverage problems in sensor networks: A survey
ACM Computing Surveys (CSUR)
Maximizing Lifetime of Target Coverage in Wireless Sensor Networks Using Learning Automata
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
Coverage is a very important issue in wireless sensor networks. Current literature defines a point to be covered if it is within the sensing radius of at least one sensor. This is a conservative definition of coverage and we have previously proposed a new notion of information coverage. Compared with the conventional definition of coverage, a point can still be information covered even if it is not within the sensing disk of any sensor. The density requirements for complete information coverage of a field are analyzed and simulated for a random sensor deployment. Our results show that significant savings in terms of sensor density can be achieved with information coverage.