On demand multicast routing in wireless sensor networks

Sule, Clifford ORCID: https://orcid.org/0000-0002-7637-6181, Shah, Purav ORCID: https://orcid.org/0000-0002-0113-5690, Doddapaneni, Krishna, Gemikonakli, Orhan ORCID: https://orcid.org/0000-0002-0513-1128 and Ever, Enver (2014) On demand multicast routing in wireless sensor networks. 2014 28th International Conference on Advanced Information Networking and Applications Workshops. In: Advanced Information Networking and Applications Workshops (WAINA 2014), 13-16 May 2014, Victoria, BC, Canada. ISBN 9781479926534. [Conference or Workshop Item] (doi:10.1109/WAINA.2014.47)

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The wireless networking environment presents imposing challenges to the study of broadcasting and multicasting problems. Developing an algorithm to optimize communication amongst a group of spatially distributed sensor nodes in a WSN (Wireless Sensor Network) has been met with a number challenges due to the characterization of the sensor node device. These challenges include, but are not limited to: energy, memory, and throughput constraints. The traditional approach to overcome these challenges have emphasised the development of low power electronics, efficient modulation, coding, antenna design etc., it has been recognised that networking techniques can also have a strong impact on the energy efficiency of such systems. A variety of networking based approaches to energy efficiency are possible. One of the well-known approaches is to apply clustering techniques to effectively establish an ordered connection of sensor nodes whilst improving the overall network lifetime. This paper proposes an improved clustering based multicast approach that allows any cluster head to be a multicast source with an unlimited number of subscribers, to optimize group communication in WSNs whilst ensuring sensor nodes do not deprecate rapidly in energy levels. We review several clustering approaches and examine multicast versus broadcast communication in WSNs.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science > SensoLab group
Item ID: 17118
Notes on copyright: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Purav Shah
Date Deposited: 30 Jun 2015 13:53
Last Modified: 17 Jun 2021 06:59
URI: https://eprints.mdx.ac.uk/id/eprint/17118

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