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Exploiting Temporal Correlation in Wireless Channel for Energy-Efficient Communication
Department of Electrical Engineering and Bharti School of Telecom, Indian Institute of Technology Delhi, New Delhi, India.
Department of Electrical Engineering and Bharti School of Telecom, Indian Institute of Technology Delhi, New Delhi, India.ORCID iD: 0000-0002-3225-6495
Department of Electrical Engineering and Bharti School of Telecom, Indian Institute of Technology Delhi, New Delhi, India.
2017 (English)In: IEEE Transactions on Green Communications and Networking, E-ISSN 2473-2400, Vol. 1, no 4, p. 381-394Article in journal (Refereed) Published
Abstract [en]

Widespread adoption of Internet-of-Things (IoT) technology depends on cost-affordability of the devices and convenience of their usage in terms of long life. Energy-efficiency of the miniaturized wireless IoT devices is a key to the cost and convenience factors. While there have been a few prior studies on wireless channel adaptive communication strategies, in this paper we relook at the problem aiming at effectively characterizing the wireless fading channel and devising energy-efficient link-layer retransmission strategy suitable for IoT devices. In particular, we propose a new channel-adaptive strategy that depends on the rate of variation of wireless channel irrespective of the underlying channel fading distribution. We further show that the concept of average fade duration dependent retransmission is a special case of the proposed strategy. Extensive simulations show that the proposed scheme most effectively characterizes the temporal variations of wireless channel in comparison with the other existing schemes. Performance of the proposed retransmission strategy is compared with the competitive protocols using the Markov model. Numerical results demonstrate that, the proposed scheme offers a gain of about 9% in terms data throughput and about 12% in terms of energy efficiency in comparison to its nearest existing benchmark scheme.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 1, no 4, p. 381-394
Keywords [en]
Wireless communication;Wireless sensor networks;Fading channels;Throughput;Channel estimation;Numerical models;Fading channel;energy-aware communication;automatic repeat request;high probability analysis;optimal waiting interval;energy-efficiency optimization
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-155768DOI: 10.1109/TGCN.2017.2750213OAI: oai:DiVA.org:liu-155768DiVA, id: diva2:1299021
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved

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Mishra, Deepak

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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