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
Co-Grid: an efficient coverage maintenance protocol for distributed sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Energy Efficient Differentiable Coverage Service Protocols for Wireless Sensor Networks
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Probabilistic Coverage in Wireless Sensor Networks
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
Deploying wireless sensors to achieve both coverage and connectivity
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
QoS-aware MAC protocols for wireless sensor networks: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Energy limitation is one of the most important characters in Wireless Sensor Networks(WSNs). Using energy efficiently is significant to prolong sensor network lifetime. The more repeated overlay is, the more energy is wasted. If we divide the nodes into some independent subsets and alternatively awake these subsets, the node energy is consumed slowly. However, the requirement of QoS is opposite to the ennergy. To solve this problem, the relationship between the desired QoS requirement and the minimum number of active nodes is analyzed in the randomly deployed sensor networks. We propose a Topology Controlling QoS(TCQS) Protocol for wireless sensor networks based on our analytical results. According to the energy and previous working status, our scheme selects the minimum number of active nodes without using any location information. Simulation results show that TCQS can not only reduce the energy consumption of nodes and increase the network lifetime, but also balance the energy consumption among nodes.