Paper Info
Title
Data Gathering In Opportunistic Wireless Sensor Networks
Abstract
The wireless sensor networks and opportunistic networks have nowadays presented a trend of technology convergence. On one hand, the nodes periodically sense the environment and continuously generate sensing data; on the other hand, the movements and sparse deployment of nodes usually lead to intermitted connected links and create some form of opportunistic communications. So it is a challenging problem to effectively collect the sensing data in opportunistic wireless sensor networks. In this paper, we propose an efficient data gathering algorithm based on location prediction in opportunistic wireless sensor networks. The algorithm first collects the network metadata such as history of node encounters and contact durations; then it creates a node contact graph, based on which predictive optimal data gathering locations are dynamically calculated and updated. Finally, the sink is controlled to move to these locations to collect sensing data, avoiding lots of unnecessary data exchanges and message transmissions. Extensive experimental results show that the proposed algorithm is effective to reduce the message transmissions and improve the data collection coverage rate.
Year
DOI
Venue
2012
10.1155/2012/230198
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Field
DocType
Volume
Data collection,Metadata,Key distribution in wireless sensor networks,Software deployment,Electronic data interchange,Computer science,Data acquisition,Computer network,Technological convergence,Wireless sensor network,Distributed computing
Journal
2012
Issue
ISSN
Citations 
null
1550-1477
5
PageRank 
References 
Authors
0.44
16
2
Name
Order
Citations
PageRank
yongxuan lai111220.24
林子雨212910.80