The Open UniversitySkip to content
 

Dynamic symmetrical topology models for pervasive sensor networks

Iqbal, Mudasser M.; Gondal, Iqbal and Dooley, Laurence S. (2004). Dynamic symmetrical topology models for pervasive sensor networks. In: Proceedings of INMIC - 8th International Multitopic Conference (INMIC'04), 24-26 Dec 2004, Lahore.

Full text available as:
[img]
Preview
PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (921Kb)
DOI (Digital Object Identifier) Link: http://doi.org/10.1109/INMIC.2004.1492925
Google Scholar: Look up in Google Scholar

Abstract

The success of pervasive computing environments using ubiquitous loco-dynamic sensing devices is very dependent upon the sensor deployment topology (DT) employed. This paper presents a systematic mathematical model for efficient sensor deployment and provides a comparison with other popular topologies. The model focuses upon blanket coverage of a surveillance area using a minimum number of sensing devices, with minimal infra-sensor overlapping to reduce collisions and co-existence problems. Simulation results are presented for the hexagonal, triangular and square grid topologies for various dimensions of surveillance area. The results confirm that the hexagonal model gives optimal performance in terms of requiring the minimal number of sensors. The paper also highlights the improved performance of ubiquitous wireless sensor networks when a hexagonal topology (HT) is used.

Item Type: Conference Item
Extra Information: ISBN: 0-7803-8680-9
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 12145
Depositing User: Laurence Dooley
Date Deposited: 14 Nov 2008 12:01
Last Modified: 24 Feb 2016 10:40
URI: http://oro.open.ac.uk/id/eprint/12145
Share this page:

Altmetrics

Scopus Citations

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk