Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding

Al Shaheen, H and Takruri-Rizk, H 2017, 'Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding' , IET Wireless Sensor Systems . (In Press)

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Access Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Wireless Sensor Systems and is subject to Institution of Engineering and Technology Copyright. When the final version is published, the copy of record will be available at the IET Digital Library.

Abstract

The reduction of energy consumption and the successful delivery of data are important for the Wireless Body Sensor Network (WBSN). Many studies have been proposed to improve energy efficiency, but most of them have not focussed on the biosensor nodes in the WBSN bottleneck zone. Energy consumption is a critical issue in WBSNs, as the nodes that are placed next to the sink node consume more energy. All biomedical packets are aggregated through these nodes forming a bottleneck zone. This paper proposes a novel mathematical model for body area network (BAN) topology to explain the deployment and connection between biosensor nodes, simple relay nodes, network coding relay nodes and the sink node. Therefore, this paper is dedicated to researching both the energy saving and delivery of data if there is a failure in one of the links of the transmission, which relates to the proposed Random Linear Network Coding (RLNC) model in the WBSN. Using a novel mathematical model for a WBSN, it is apparent that energy consumption is reduced and data delivery achieved with the proposed mechanism. This paper details the stages of the research work.

Item Type: Article
Contributors: Takruri-Rizk, H (Supervisor)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: IET Wireless Sensor Systems
Publisher: IET Digital Library
ISSN: 2043-6394
Related URLs:
Depositing User: H Takruri-Rizk
Date Deposited: 04 Oct 2017 11:52
Last Modified: 17 Oct 2017 11:27
URI: http://usir.salford.ac.uk/id/eprint/43904

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