Paper Info
Title
A massive sensor sampling data gathering optimization strategy for concurrent multi-criteria target monitoring application
Abstract
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.
Year
DOI
Venue
2013
10.1007/978-3-642-39068-5_73
ISNN (2)
Keywords
Field
DocType
heterogeneous sensor node,virtual sensor networks framework,concurrent multi-criteria target monitoring,layer lifetime,wireless sensor network,optimization strategy,concurrent multi-task monitoring,concurrent multi-task,data transmission,virtual sensor network,massive sensor,wireless sensor networks
Key distribution in wireless sensor networks,Data collection,Software deployment,Data transmission,Computer science,Real-time computing,Sampling (statistics),Mobile wireless sensor network,Sensor web,Wireless sensor network,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Xin Song11515.82
Cuirong Wang211015.54
Zhi Xu300.34
Haiyang Zhang400.34