VIP Bridge: Integrating Several Sensor Networks into One Virtual Sensor Network
ICISP '06 Proceedings of the International Conference on Internet Surveillance and Protection
Virtual Sensor Networks - A Resource Efficient Approach for Concurrent Applications
ITNG '07 Proceedings of the International Conference on Information Technology
Clustering of wireless sensor and actor networks based on sensor distribution and connectivity
Journal of Parallel and Distributed Computing
A distributed energy-efficient clustering protocol for wireless sensor networks
Computers and Electrical Engineering
Towards energy-efficient skyline monitoring in wireless sensor networks
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Energy-efficient cooperative data aggregation for wireless sensor networks
Journal of Parallel and Distributed Computing
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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Target monitoring and event detection are very critical issues in wireless sensor networks. Sensor nodes forward the sensory data to the base station by relaying through intermediate nodes used as relays, from which users collect valuable information. The multi-criteria target monitoring is still important in wireless sensor network application scenarios. In order to support energyefficient monitoring and simplify the complexity of dealing with heterogeneous sensor networks, in this paper, we propose a multi-criteria target monitoring strategy using MinMax operator in formed virtual sensor networks. The strategy builds a hierarchical structure by distributed clustering technique on the network before forming virtual sensor network to meet various monitoring requirements from different kinds of application deployment. Then, for the multicriteria monitoring of virtual sensor networks framework, we present method of setting and updating hierarchical thresholds by using the MinMax operator. Finally, the simulation results demonstrate that the strategy can effectively reduce the energy consumption and increase the system lifetime.