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Effect of neighborhood on in-network processing in sensor networks (2008)
| Venue: | GIScience 2008, LNCS |
| Citations: | 5 - 3 self |
BibTeX
@INPROCEEDINGS{Sadeq08effectof,
author = {Muhammad Jafar Sadeq and Matt Duckham},
title = {Effect of neighborhood on in-network processing in sensor networks},
booktitle = {GIScience 2008, LNCS},
year = {2008},
pages = {133--150},
publisher = {Springer}
}
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Abstract
Abstract. Wireless sensor networks are growing from a few hand-placed devices to more large-scale networks in terms of coverage and node den-sity. For various concerns, such as scalability, larger network sizes require some management of the large volume of data that a sensor network de-livers. One way to manage this data is processing information in the network. This paper investigates how a sensor network’s network ar-chitecture (specifically, the neighborhood structure) can influence the conclusions that a sensor network makes from its measurements. The results demonstrate that non-planar structures are infeasible for routing and some in-network processing applications. Structures with low aver-age edge lengths give better quantitative results, while those with high edge densities give better qualitative results. 1
Keyphrases
sensor network in-network processing low aver-age edge length node den-sity high edge density large-scale network large volume neighborhood structure qualitative result wireless sensor network sensor network de-livers hand-placed device sensor network network ar-chitecture quantitative result various concern non-planar structure in-network processing application network size
