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Article: Cross-layer design for energy efficient communication in wireless sensor networks

TitleCross-layer design for energy efficient communication in wireless sensor networks
Authors
KeywordsBuffering
Cross-layer design
Discrete-time queuing
Link adaptation
Rayleigh fading
Wireless sensor networks
Issue Date2009
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/76507157
Citation
Wireless Communications And Mobile Computing, 2009, v. 9 n. 2, p. 251-268 How to Cite?
AbstractThere is a plethora of recent research on high performance wireless communications using a cross-layer approach in that adaptive modulation and coding (AMC) schemes at wireless physical layer are used for combating time varying channel fading and enhance link throughput. However, in a wireless sensor network, transmitting packets over deep fading channel can incur excessive energy consumption due to the usage of stronger forwarding error code (FEC) or more robust modulation mode. To avoid such energy inefficient transmission, a straightforward approach is to temporarily buffer packets when the channel is in deep fading, until the channel quality recovers. Unfortunately, packet buffering may lead to communication latency and buffer overflow, which, in turn, can result in severe degradation in communication performance. Specifically, to improve the buffering approach, we need to address two challenging issues: (1) how long should we buffer the packets? and (2) how to choose the optimum channel transmission threshold above which to transmit the buffered packets? In this paper, by using discrete-time queuing model, we analyze the effects of Rayleigh fading over AMC-based communications in a wireless sensor network. We then analytically derive the packet delivery rate and average delay. Guided by these numerical results, we can determine the most energy-efficient operation modes under different transmission environments. Extensive simulation results have validated the analytical results, and indicates that under these modes, we can achieve as much as 40% reduction in energy dissipation. Copyright © 2008 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/58731
ISSN
2021 Impact Factor: 2.146
ISI Accession Number ID
Funding AgencyGrant Number
Natural Science Foundation of China60602066
60773203
Guangdong Natural Science Foundation5010494
Foundation of Shenzhen City underQK200601
Funding Information:

The authors thank the reviewers for their constructive comments on earlier version of the paper. The research was jointly supported by research grant from Natural Science Foundation of China under project number 60602066 and 60773203, and grant froth Guangdong Natural Science Foundation under project number 5010494. The work has also got support from Foundation of Shenzhen City under project number QK200601.

References

 

DC FieldValueLanguage
dc.contributor.authorLin, XHen_HK
dc.contributor.authorKwok, YKen_HK
dc.contributor.authorWang, Hen_HK
dc.date.accessioned2010-05-31T03:35:55Z-
dc.date.available2010-05-31T03:35:55Z-
dc.date.issued2009en_HK
dc.identifier.citationWireless Communications And Mobile Computing, 2009, v. 9 n. 2, p. 251-268en_HK
dc.identifier.issn1530-8669en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58731-
dc.description.abstractThere is a plethora of recent research on high performance wireless communications using a cross-layer approach in that adaptive modulation and coding (AMC) schemes at wireless physical layer are used for combating time varying channel fading and enhance link throughput. However, in a wireless sensor network, transmitting packets over deep fading channel can incur excessive energy consumption due to the usage of stronger forwarding error code (FEC) or more robust modulation mode. To avoid such energy inefficient transmission, a straightforward approach is to temporarily buffer packets when the channel is in deep fading, until the channel quality recovers. Unfortunately, packet buffering may lead to communication latency and buffer overflow, which, in turn, can result in severe degradation in communication performance. Specifically, to improve the buffering approach, we need to address two challenging issues: (1) how long should we buffer the packets? and (2) how to choose the optimum channel transmission threshold above which to transmit the buffered packets? In this paper, by using discrete-time queuing model, we analyze the effects of Rayleigh fading over AMC-based communications in a wireless sensor network. We then analytically derive the packet delivery rate and average delay. Guided by these numerical results, we can determine the most energy-efficient operation modes under different transmission environments. Extensive simulation results have validated the analytical results, and indicates that under these modes, we can achieve as much as 40% reduction in energy dissipation. Copyright © 2008 John Wiley & Sons, Ltd.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/76507157en_HK
dc.relation.ispartofWireless Communications and Mobile Computingen_HK
dc.subjectBufferingen_HK
dc.subjectCross-layer designen_HK
dc.subjectDiscrete-time queuingen_HK
dc.subjectLink adaptationen_HK
dc.subjectRayleigh fadingen_HK
dc.subjectWireless sensor networksen_HK
dc.titleCross-layer design for energy efficient communication in wireless sensor networksen_HK
dc.typeArticleen_HK
dc.identifier.emailKwok, YK:ykwok@eee.hku.hken_HK
dc.identifier.authorityKwok, YK=rp00128en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/wcm.608en_HK
dc.identifier.scopuseid_2-s2.0-60849120446en_HK
dc.identifier.hkuros161705en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-60849120446&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume9en_HK
dc.identifier.issue2en_HK
dc.identifier.spage251en_HK
dc.identifier.epage268en_HK
dc.identifier.isiWOS:000262604600011-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLin, XH=50961503200en_HK
dc.identifier.scopusauthoridKwok, YK=7101857718en_HK
dc.identifier.scopusauthoridWang, H=8243342800en_HK
dc.identifier.issnl1530-8669-

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