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A cross-layer optimisation solution to improve routing protocol performance for dense wireless sensor environment

A cross-layer optimisation solution to improve routing protocol performance for dense wireless sensor environment

Ghassemian, Mona and Aghvami, Hamid (2008) A cross-layer optimisation solution to improve routing protocol performance for dense wireless sensor environment. Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP,. IEEE, Piscataway, NJ USA, pp. 43-48. ISBN 9781424415014 (Print) (doi:10.1109/ISSNIP.2007.4496817)

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Abstract

In unreliable communication environments, traditional routing protocols designed for static wireless sensor networks may fail to deliver data timely since link/node failures can be found out only after trying multiple transmissions. The main goal of the proposed protocol is to find more stable paths and to control the flooding overhead which will lead to higher level of scalability. This mechanism considers link stability for the route selection, which makes routing data more reliable and decreases the probability of retransmission, thus saves the energy and prolongs the lifetime of the whole network. In this work, we propose a cross-layer solution which utilises MAC layer information to improve routing mechanisms reliability and scalability in network layer.

Item Type: Book Section
Additional Information: This paper forms part of the published proceedings from 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP December 3, 2007 - December 6, 2007 Melbourne, VIC, Australia
Uncontrolled Keywords: routing mechanisms, network layer.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:
Last Modified: 14 Oct 2016 09:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5676

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