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Article: Cross-layer design for energy efficient communication in wireless sensor networks
Title | Cross-layer design for energy efficient communication in wireless sensor networks | ||||||||
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Authors | |||||||||
Keywords | Buffering Cross-layer design Discrete-time queuing Link adaptation Rayleigh fading Wireless sensor networks | ||||||||
Issue Date | 2009 | ||||||||
Publisher | John 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? | ||||||||
Abstract | There 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 Identifier | http://hdl.handle.net/10722/58731 | ||||||||
ISSN | 2021 Impact Factor: 2.146 | ||||||||
ISI Accession Number ID |
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 Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, XH | en_HK |
dc.contributor.author | Kwok, YK | en_HK |
dc.contributor.author | Wang, H | en_HK |
dc.date.accessioned | 2010-05-31T03:35:55Z | - |
dc.date.available | 2010-05-31T03:35:55Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Wireless Communications And Mobile Computing, 2009, v. 9 n. 2, p. 251-268 | en_HK |
dc.identifier.issn | 1530-8669 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/58731 | - |
dc.description.abstract | There 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.language | eng | en_HK |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/76507157 | en_HK |
dc.relation.ispartof | Wireless Communications and Mobile Computing | en_HK |
dc.subject | Buffering | en_HK |
dc.subject | Cross-layer design | en_HK |
dc.subject | Discrete-time queuing | en_HK |
dc.subject | Link adaptation | en_HK |
dc.subject | Rayleigh fading | en_HK |
dc.subject | Wireless sensor networks | en_HK |
dc.title | Cross-layer design for energy efficient communication in wireless sensor networks | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Kwok, YK:ykwok@eee.hku.hk | en_HK |
dc.identifier.authority | Kwok, YK=rp00128 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/wcm.608 | en_HK |
dc.identifier.scopus | eid_2-s2.0-60849120446 | en_HK |
dc.identifier.hkuros | 161705 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-60849120446&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 9 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 251 | en_HK |
dc.identifier.epage | 268 | en_HK |
dc.identifier.isi | WOS:000262604600011 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Lin, XH=50961503200 | en_HK |
dc.identifier.scopusauthorid | Kwok, YK=7101857718 | en_HK |
dc.identifier.scopusauthorid | Wang, H=8243342800 | en_HK |
dc.identifier.issnl | 1530-8669 | - |