End-to-end versus hop-by-hop state refresh in soft state signaling protocols

Jianhua He; Xiaoming Fu; Zuoyin Tang; Hsiao Hwa Chen

doi:10.1109/LCOMM.2009.081972

End-to-end versus hop-by-hop state refresh in soft state signaling protocols

Jianhua He, Xiaoming Fu, Zuoyin Tang, Hsiao Hwa Chen

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

2 Citations (Scopus)

Abstract

The concept of soft state (i.e., the state that will expire unless been refreshed) has been widely used in the design of network signaling protocols. The approaches of refreshing state in multi-hop networks can be classified to end-to-end (E2E) and hop-by-hop (HbH) refreshes. In this article we propose an effective Markov chain based analytical model for both E2E and HbH refresh approaches. Simulations verify the analytical models, which can be used to study the impacts of link characteristics on the performance (e.g., state synchronization and message overhead), as a guide on configuration and optimization of soft state signaling protocols.

Original language	English
Pages (from-to)	268-270
Number of pages	3
Journal	IEEE Wireless Communications Letters
Volume	13
Issue number	4
DOIs	https://doi.org/10.1109/LCOMM.2009.081972
Publication status	Published - Apr 2009

Keywords

signaling protocol
soft state
Markov chain

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10.1109/LCOMM.2009.081972

http://publications.aston.ac.uk/id/eprint/19894/

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title = "End-to-end versus hop-by-hop state refresh in soft state signaling protocols",

abstract = "The concept of soft state (i.e., the state that will expire unless been refreshed) has been widely used in the design of network signaling protocols. The approaches of refreshing state in multi-hop networks can be classified to end-to-end (E2E) and hop-by-hop (HbH) refreshes. In this article we propose an effective Markov chain based analytical model for both E2E and HbH refresh approaches. Simulations verify the analytical models, which can be used to study the impacts of link characteristics on the performance (e.g., state synchronization and message overhead), as a guide on configuration and optimization of soft state signaling protocols.",

keywords = "signaling protocol, soft state, Markov chain",

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note = "copyright 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",

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AU - He, Jianhua

AU - Fu, Xiaoming

AU - Tang, Zuoyin

AU - Chen, Hsiao Hwa

N1 - copyright 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2009/4

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N2 - The concept of soft state (i.e., the state that will expire unless been refreshed) has been widely used in the design of network signaling protocols. The approaches of refreshing state in multi-hop networks can be classified to end-to-end (E2E) and hop-by-hop (HbH) refreshes. In this article we propose an effective Markov chain based analytical model for both E2E and HbH refresh approaches. Simulations verify the analytical models, which can be used to study the impacts of link characteristics on the performance (e.g., state synchronization and message overhead), as a guide on configuration and optimization of soft state signaling protocols.

AB - The concept of soft state (i.e., the state that will expire unless been refreshed) has been widely used in the design of network signaling protocols. The approaches of refreshing state in multi-hop networks can be classified to end-to-end (E2E) and hop-by-hop (HbH) refreshes. In this article we propose an effective Markov chain based analytical model for both E2E and HbH refresh approaches. Simulations verify the analytical models, which can be used to study the impacts of link characteristics on the performance (e.g., state synchronization and message overhead), as a guide on configuration and optimization of soft state signaling protocols.

KW - signaling protocol

KW - soft state

KW - Markov chain

U2 - 10.1109/LCOMM.2009.081972

DO - 10.1109/LCOMM.2009.081972

M3 - Article

VL - 13

SP - 268

EP - 270

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 4

ER -

End-to-end versus hop-by-hop state refresh in soft state signaling protocols

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Keywords

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