The impact of spatial correlation on routing with compression in wireless sensor networks
| Venue: | In ACM/IEEE International Symposium on Information Processing in Sensor Networks (IPSN 2004 |
| Citations: | 106 - 10 self |
BibTeX
@INPROCEEDINGS{Pattem_theimpact,
author = {Sundeep Pattem and Bhaskar Krishnamachari},
title = {The impact of spatial correlation on routing with compression in wireless sensor networks},
booktitle = {In ACM/IEEE International Symposium on Information Processing in Sensor Networks (IPSN 2004},
year = {},
pages = {28--35},
publisher = {SpringerVerlag}
}
Years of Citing Articles
OpenURL
Abstract
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. The recent literature has examined a variety of schemes that achieve greater data aggregation by routing data with regard to the underlying spatial correlation. A well known conclusion from these papers is that the nature of optimal routing with compression depends on the correlation level. In this work, we show the existence of a simple, practical and static correlation-unaware clustering scheme that satisfies a min-max near-optimality condition. The implication for system design is that a static correlation-unaware scheme can perform as well as sophisticated adaptive schemes for joint routing and compression.







