Fuzzy tuned gossip algorithms in mobile ad hoc networks

D.P. Iracleous; A.N. Tsapanoglou

doi:10.1109/MED.2009.5164552

Fuzzy tuned gossip algorithms in mobile ad hoc networks

D.P. Iracleous
, A.N. Tsapanoglou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Mobile ad hoc networks (MANET) are modeled as agents that form communities without infrastructure, for a random period of time and with usually cooperative behavior. The nodes of MANET often carry information to disseminate. The dynamics of information delivery, mostly referred as average consensus, is a common problem in these networks. The gossip protocols are designed to implement this task. The standard algorithms that are used in these protocols exploit the network describing matrix, aka Laplacian, and exchange information to all node neighbors. In static networks the problem can be considered as an output feedback problem but in the case of MANET the problem is getting complicated due to the continuous change of network topology. In this paper the fuzzy reasoning approach is proposed to tune and leverage the gossip protocol. Illustrative simulations are included to demonstrate the application of the method and to present comparative results in various cases.

Original language	English
Title of host publication	Procs of the 17th Mediterranean Conf on Control & Automation 2009
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	276-279
Volume	2009
ISBN (Electronic)	978-1-4244-4685-8
DOIs	https://doi.org/10.1109/MED.2009.5164552
Publication status	Published - 2009
Event	17th Mediterranean Conf on Control & Automation - Thessaloniki, Greece Duration: 24 Jun 2006 → 26 Jun 2006

Conference

Conference	17th Mediterranean Conf on Control & Automation
Country/Territory	Greece
City	Thessaloniki
Period	24/06/06 → 26/06/06

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title = "Fuzzy tuned gossip algorithms in mobile ad hoc networks",

abstract = "Mobile ad hoc networks (MANET) are modeled as agents that form communities without infrastructure, for a random period of time and with usually cooperative behavior. The nodes of MANET often carry information to disseminate. The dynamics of information delivery, mostly referred as average consensus, is a common problem in these networks. The gossip protocols are designed to implement this task. The standard algorithms that are used in these protocols exploit the network describing matrix, aka Laplacian, and exchange information to all node neighbors. In static networks the problem can be considered as an output feedback problem but in the case of MANET the problem is getting complicated due to the continuous change of network topology. In this paper the fuzzy reasoning approach is proposed to tune and leverage the gossip protocol. Illustrative simulations are included to demonstrate the application of the method and to present comparative results in various cases.",

author = "D.P. Iracleous and A.N. Tsapanoglou",

note = "“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"} “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” DOI: 10.1109/MED.2009.5164552; 17th Mediterranean Conf on Control \& Automation ; Conference date: 24-06-2006 Through 26-06-2006",

year = "2009",

doi = "10.1109/MED.2009.5164552",

language = "English",

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booktitle = "Procs of the 17th Mediterranean Conf on Control \& Automation 2009",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

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TY - GEN

T1 - Fuzzy tuned gossip algorithms in mobile ad hoc networks

AU - Iracleous, D.P.

AU - Tsapanoglou, A.N.

N1 - “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” DOI: 10.1109/MED.2009.5164552

PY - 2009

Y1 - 2009

N2 - Mobile ad hoc networks (MANET) are modeled as agents that form communities without infrastructure, for a random period of time and with usually cooperative behavior. The nodes of MANET often carry information to disseminate. The dynamics of information delivery, mostly referred as average consensus, is a common problem in these networks. The gossip protocols are designed to implement this task. The standard algorithms that are used in these protocols exploit the network describing matrix, aka Laplacian, and exchange information to all node neighbors. In static networks the problem can be considered as an output feedback problem but in the case of MANET the problem is getting complicated due to the continuous change of network topology. In this paper the fuzzy reasoning approach is proposed to tune and leverage the gossip protocol. Illustrative simulations are included to demonstrate the application of the method and to present comparative results in various cases.

AB - Mobile ad hoc networks (MANET) are modeled as agents that form communities without infrastructure, for a random period of time and with usually cooperative behavior. The nodes of MANET often carry information to disseminate. The dynamics of information delivery, mostly referred as average consensus, is a common problem in these networks. The gossip protocols are designed to implement this task. The standard algorithms that are used in these protocols exploit the network describing matrix, aka Laplacian, and exchange information to all node neighbors. In static networks the problem can be considered as an output feedback problem but in the case of MANET the problem is getting complicated due to the continuous change of network topology. In this paper the fuzzy reasoning approach is proposed to tune and leverage the gossip protocol. Illustrative simulations are included to demonstrate the application of the method and to present comparative results in various cases.

U2 - 10.1109/MED.2009.5164552

DO - 10.1109/MED.2009.5164552

M3 - Conference contribution

VL - 2009

SP - 276

EP - 279

BT - Procs of the 17th Mediterranean Conf on Control & Automation 2009

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 17th Mediterranean Conf on Control & Automation

Y2 - 24 June 2006 through 26 June 2006

ER -

Fuzzy tuned gossip algorithms in mobile ad hoc networks

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