Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths

We define a transmission power adaptation-based routing technique that finds optimal paths for minimum energy reliable data transfer in multi-hop wireless networks. This optimal choice of the transmission power depends on the link distance between the two nodes and the channel characteristics. Typic...

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Main Authors: BANERJEE, Suman, MISRA, Archan
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/695
https://ink.library.smu.edu.sg/context/sis_research/article/1694/viewcontent/networking04.pdf
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spelling sg-smu-ink.sis_research-16942019-02-25T06:20:07Z Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths BANERJEE, Suman MISRA, Archan We define a transmission power adaptation-based routing technique that finds optimal paths for minimum energy reliable data transfer in multi-hop wireless networks. This optimal choice of the transmission power depends on the link distance between the two nodes and the channel characteristics. Typical energy efficient routing techniques use a transmission power such that the received signal power at the destination minimally exceeds a desired threshold signal strength level. In this paper we argue that such a choice of the transmission power does not always lead to optimal energy routes, since it does not consider differences in the receiver noise levels.We first analyze the optimal transmission power choices for reliable data transfer over a single link. We do this analysis for both the ideal case from an information-theoretic perspective, and also for realistic modulation schemes. Subsequently we define our technique for transmission power adaptation that can be used in existing routing protocols for multi-hop wireless networks. Through detailed simulations we show that current best-known schemes incur upto 10% more energy costs in low noise environments, and upto 165% more energy costs in high noise environments compared to our proposed scheme. 2004-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/695 info:doi/10.1007/978-3-540-24693-0_70 https://ink.library.smu.edu.sg/context/sis_research/article/1694/viewcontent/networking04.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Transmission Power Link Cost Power Adaptation Grid Topology Transmission Radius Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Transmission Power
Link Cost
Power Adaptation
Grid Topology
Transmission Radius
Software Engineering
spellingShingle Transmission Power
Link Cost
Power Adaptation
Grid Topology
Transmission Radius
Software Engineering
BANERJEE, Suman
MISRA, Archan
Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths
description We define a transmission power adaptation-based routing technique that finds optimal paths for minimum energy reliable data transfer in multi-hop wireless networks. This optimal choice of the transmission power depends on the link distance between the two nodes and the channel characteristics. Typical energy efficient routing techniques use a transmission power such that the received signal power at the destination minimally exceeds a desired threshold signal strength level. In this paper we argue that such a choice of the transmission power does not always lead to optimal energy routes, since it does not consider differences in the receiver noise levels.We first analyze the optimal transmission power choices for reliable data transfer over a single link. We do this analysis for both the ideal case from an information-theoretic perspective, and also for realistic modulation schemes. Subsequently we define our technique for transmission power adaptation that can be used in existing routing protocols for multi-hop wireless networks. Through detailed simulations we show that current best-known schemes incur upto 10% more energy costs in low noise environments, and upto 165% more energy costs in high noise environments compared to our proposed scheme.
format text
author BANERJEE, Suman
MISRA, Archan
author_facet BANERJEE, Suman
MISRA, Archan
author_sort BANERJEE, Suman
title Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths
title_short Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths
title_full Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths
title_fullStr Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths
title_full_unstemmed Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths
title_sort power adaptation based optimization for energy efficient reliable wireless paths
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/sis_research/695
https://ink.library.smu.edu.sg/context/sis_research/article/1694/viewcontent/networking04.pdf
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