Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks

In a multisystem environment where a mobile node can utilize multiple interfaces and simultaneously connect to multiple providers, new opportunities exist for efficient location management strategies spanning heterogeneous cellular wireless networks. In this paper, an integrated framework is develop...

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Main Authors: MISRA, Archan, ROY, Abhishek, DAS, Sajal K.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/656
https://ink.library.smu.edu.sg/context/sis_research/article/1655/viewcontent/Information_theoryOptimalLocation_2008.pdf
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spelling sg-smu-ink.sis_research-16552017-11-02T01:05:34Z Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks MISRA, Archan ROY, Abhishek DAS, Sajal K. In a multisystem environment where a mobile node can utilize multiple interfaces and simultaneously connect to multiple providers, new opportunities exist for efficient location management strategies spanning heterogeneous cellular wireless networks. In this paper, an integrated framework is developed for location management in such a multi-system, fourth generation (4 G) wireless networks. This information-theoretic framework allows each individual sub-system to operate fairly independently, and does not require the knowledge of individual sub-network topologies. An efficient location management in such a loosely coupled network is designed by having a mobile node view its movement as a vector-valued sequence, and then transmit this sequence in an entropy coded form to the network. We demonstrate how an intelligent, integrated paging strategy must consider the joint residence probability distribution of a mobile node in multiple sub-networks. We prove that the determination of an optimal paging sequence is NP-complete, and also propose an efficient greedy heuristic to compute the paging sequence, both without and with bounds on the paging delay. Three different location tracking strategies are proposed and evaluated; they differ in their degrees of centralized control and provide tradeoff between the location update and paging costs. Simulation experiments demonstrate that our proposed schemes can result in more than 50% savings in both update and paging costs, in comparison with the basic movement-based, multi-system location management strategy. 2008-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/656 info:doi/10.1109/TNET.2007.901067 https://ink.library.smu.edu.sg/context/sis_research/article/1655/viewcontent/Information_theoryOptimalLocation_2008.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 LZ compression Location management paging multi-system cellular networks information theory Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic LZ compression
Location management
paging
multi-system
cellular networks
information theory
Software Engineering
spellingShingle LZ compression
Location management
paging
multi-system
cellular networks
information theory
Software Engineering
MISRA, Archan
ROY, Abhishek
DAS, Sajal K.
Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks
description In a multisystem environment where a mobile node can utilize multiple interfaces and simultaneously connect to multiple providers, new opportunities exist for efficient location management strategies spanning heterogeneous cellular wireless networks. In this paper, an integrated framework is developed for location management in such a multi-system, fourth generation (4 G) wireless networks. This information-theoretic framework allows each individual sub-system to operate fairly independently, and does not require the knowledge of individual sub-network topologies. An efficient location management in such a loosely coupled network is designed by having a mobile node view its movement as a vector-valued sequence, and then transmit this sequence in an entropy coded form to the network. We demonstrate how an intelligent, integrated paging strategy must consider the joint residence probability distribution of a mobile node in multiple sub-networks. We prove that the determination of an optimal paging sequence is NP-complete, and also propose an efficient greedy heuristic to compute the paging sequence, both without and with bounds on the paging delay. Three different location tracking strategies are proposed and evaluated; they differ in their degrees of centralized control and provide tradeoff between the location update and paging costs. Simulation experiments demonstrate that our proposed schemes can result in more than 50% savings in both update and paging costs, in comparison with the basic movement-based, multi-system location management strategy.
format text
author MISRA, Archan
ROY, Abhishek
DAS, Sajal K.
author_facet MISRA, Archan
ROY, Abhishek
DAS, Sajal K.
author_sort MISRA, Archan
title Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks
title_short Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks
title_full Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks
title_fullStr Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks
title_full_unstemmed Information-Theory Based Optimal Location Management Schemes for Integrated Multi-System Wireless Networks
title_sort information-theory based optimal location management schemes for integrated multi-system wireless networks
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/656
https://ink.library.smu.edu.sg/context/sis_research/article/1655/viewcontent/Information_theoryOptimalLocation_2008.pdf
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