An information theory based framework for optimal link state update

Gang Cheng; Nirwan Ansari

doi:10.1109/LCOMM.2004.837653

An information theory based framework for optimal link state update

Gang Cheng, Nirwan Ansari

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

In this letter, based on information theory, we present a theoretical framework for the optimal link-state update, upon which efficient link-state update policies may be developed.

Original language	English (US)
Pages (from-to)	692-694
Number of pages	3
Journal	IEEE Communications Letters
Volume	8
Issue number	11
DOIs	https://doi.org/10.1109/LCOMM.2004.837653
State	Published - Nov 2004

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Information theory
Link-state update
Rate-distortion function

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10.1109/LCOMM.2004.837653

Cite this

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title = "An information theory based framework for optimal link state update",

abstract = "In this letter, based on information theory, we present a theoretical framework for the optimal link-state update, upon which efficient link-state update policies may be developed.",

keywords = "Information theory, Link-state update, Rate-distortion function",

author = "Gang Cheng and Nirwan Ansari",

note = "Funding Information: Manuscript received March 15, 2004. The associate editor coordinating the review of this letter and approving it for publication was Prof. C. Douligeris. This work has been supported in part by the New Jersey Commission on Higher Education via the NJ I-TOWER project, and the New Jersey Commission on Science and Technology via NJWINS.",

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AU - Ansari, Nirwan

N1 - Funding Information: Manuscript received March 15, 2004. The associate editor coordinating the review of this letter and approving it for publication was Prof. C. Douligeris. This work has been supported in part by the New Jersey Commission on Higher Education via the NJ I-TOWER project, and the New Jersey Commission on Science and Technology via NJWINS.

PY - 2004/11

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N2 - In this letter, based on information theory, we present a theoretical framework for the optimal link-state update, upon which efficient link-state update policies may be developed.

AB - In this letter, based on information theory, we present a theoretical framework for the optimal link-state update, upon which efficient link-state update policies may be developed.

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KW - Link-state update

KW - Rate-distortion function

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An information theory based framework for optimal link state update

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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