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
Energy-efficient cooperative data aggregation for wireless sensor networks
Journal of Parallel and Distributed Computing
A multi-criteria target monitoring strategy using MinMax operator in formed virtual sensor networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Energy-efficient design of wireless sensor networks based on finite energy budget
Computer Communications
Journal of Network and Computer Applications
An algorithmic strategy for in-network distributed spatial analysis in wireless sensor networks
Journal of Parallel and Distributed Computing
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The data gathering optimization of the large-scale, collaborative and concurrent multi-task in the sensing layer of internet of things is very important, especially in the environments where multiple geographically overlapping wireless sensor networks are deployed. In order to support large-scale, collaborative and concurrent multi-task monitoring, in this paper, we propose a massive sensor sampling data gathering optimization strategy in formed virtual sensor networks to meet various monitoring requirements from different kinds of application deployment and simplify the complexity of dealing with heterogeneous sensor nodes. Then, for the massive sensor sampling data gathering on the virtual sensor networks framework, the CH nodes set and update MinMax hierarchical thresholds to restrict the data transmission. Finally, the simulation results show that proposed strategy achieves more energy savings and increase the sensing layer lifetime of internet of things.