Opportunistic Sampling in Wireless Sensor Networks
AuthorUMER, M; Tanin, E; Kulik, L
Source TitleProceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
AffiliationComputer Science and Software Engineering
Document TypeConference Paper
CitationsUMER, M., Tanin, E. & Kulik, L. (2009). Opportunistic Sampling in Wireless Sensor Networks. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp.492-495. ACM. https://doi.org/10.1145/1653771.1653852.
Access StatusThis item is currently not available from this repository
ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
In an active WSN where user queries are regularly processed, a significant proportion of nodes relay and overhear data generated by other nodes in the network. In this paper, we propose to exploit this mode of data communication towards a gradual buildup of global knowledge. We show that by harnessing the multihop and multipath communication advantages, only a few user queries in a WSN can lead to an accumulation of accurate global knowledge at node level. This global knowledge can greatly improve numerous WSN applications when used in data validation, event detection, and query optimization.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References