Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Geography-informed energy conservation for Ad Hoc routing
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
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
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
Energy-efficient coverage problems in wireless ad-hoc sensor networks
Computer Communications
IEEE Communications Magazine
Analysis of Sensors' Coverage through Application-Specific WSN Provisioning Tool
International Journal of Mobile Computing and Multimedia Communications
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To reduce energy consumption and extend lifetime is concernful in wireless sensor networks (WSNs). Besides, WSNs need to maintain coverage quality to capture the timely changed targets. A broad strategy is to select some sensors as working nodes to cover the monitored region while turning off redundant nodes. Therefore, scheduling node state and maintaining the coverage quality are two important aspects in WSNs. The contribution lies in two aspects in this paper. First, we present a mathematical model to compute minimum number of nodes under any given required coverage quality. Simulation results demonstrate that our approach is more accurate when the ratio of target region to sensor region is larger, and the complexity of proposed method is lower while the sensor's region can be perceived as arbitrary shape. Second, it is an NP-hard issue that network's coverage quality and ratio of sleeping nodes get to maximize together. The paper experiments by using genetic algorithm to try to solve this problem, which is significant in WSNs for practical applications.