Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks

The gradient broadcast routing protocol is one of the most promising routing solution for a large scale wireless sensor network as it provides robust data delivery to error prone wireless channels. Occasionally, the broadcast nature of this protocol may incur high power consumption which is a critic...

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Main Author: Anya Apavatjrut
Format: Conference Proceeding
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/51614
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-516142018-09-04T06:05:21Z Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks Anya Apavatjrut Engineering The gradient broadcast routing protocol is one of the most promising routing solution for a large scale wireless sensor network as it provides robust data delivery to error prone wireless channels. Occasionally, the broadcast nature of this protocol may incur high power consumption which is a critical issue of sensor nodes. In this paper, several energy efficient forwarding algorithms are proposed and investigated. These algorithms aim at finding an optimum trade-off between system resource consumption and system reliability. Also, when wireless links or sensor nodes are subject to failure, it is important to prevent the loss of messages. This paper proposes a route recovery protocol which allows the system to search for alternative route in order to ensure successful transmission from a sensor node to a sink. © 2012 IEEE. 2018-09-04T06:05:21Z 2018-09-04T06:05:21Z 2012-07-23 Conference Proceeding 2-s2.0-84863974825 10.1109/NTMS.2012.6208738 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863974825&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51614
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
spellingShingle Engineering
Anya Apavatjrut
Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
description The gradient broadcast routing protocol is one of the most promising routing solution for a large scale wireless sensor network as it provides robust data delivery to error prone wireless channels. Occasionally, the broadcast nature of this protocol may incur high power consumption which is a critical issue of sensor nodes. In this paper, several energy efficient forwarding algorithms are proposed and investigated. These algorithms aim at finding an optimum trade-off between system resource consumption and system reliability. Also, when wireless links or sensor nodes are subject to failure, it is important to prevent the loss of messages. This paper proposes a route recovery protocol which allows the system to search for alternative route in order to ensure successful transmission from a sensor node to a sink. © 2012 IEEE.
format Conference Proceeding
author Anya Apavatjrut
author_facet Anya Apavatjrut
author_sort Anya Apavatjrut
title Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
title_short Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
title_full Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
title_fullStr Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
title_full_unstemmed Energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
title_sort energy efficient optimization and route recovery for gradient broadcast routing protocol for wireless sensor networks
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863974825&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51614
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