research-article

Mass Configuration with Confirmation in Tactical Networks

Authors:

Prateek Kumar Singh,

James H. Nguyen,

Daniel KuAuthors Info & Claims

DIVANet '17: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

Pages 99 - 106

https://doi.org/10.1145/3132340.3132353

Published: 21 November 2017 Publication History

Abstract

In this paper we present the design and evaluation of efficient and reliable confirmation-based mass configuration protocols (cMCONF) for wireless Mobile Ad-hoc Networks (MANETs). Confirmation based MCONF - proposed as MCONF-Mode B in our earlier work - enables mass configuration changes in a MANET while obtaining feedback information from nodes using a classic flooding approach. In this paper, we propose and evaluate three versions of cMCONF that collect feedback information from the network (confirmation of successful configuration change) more efficiently than classic flooding: (a) multi-parent Destination Oriented Directed Acyclic Graph (DODAG) based cMCONF (m-DODAG-cMCONF), (b) single-parent DODAG based cMCONF (s-DODAG-cMCONF) and (c) Unicast based cMCONF. The proposed protocols improve the efficiency and reliability performance of the confirmation process of MCONF-Mode B operation. We evaluate the performance of the proposed protocols in terms of reliability and message redundancy by emulating MANETs on Common Open Research Emulator (CORE). From these emulations, we observe that m-DODAG-cMCONF provides an excellent tradeoff between reliability and message complexity across different network sizes and mobility scenarios.

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Cited By

Silvius MMcHenry MLackpour AMolnar J(2022)Multi-Band Control Channel Architecture (MICCA): Mass Reconfiguration Protocol for Spectrum Dependent SystemsMILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)10.1109/MILCOM55135.2022.10017533(192-197)Online publication date: 28-Nov-2022
https://doi.org/10.1109/MILCOM55135.2022.10017533
Zhang DYu FYang RTang HNotare MSun PCoutinho R(2018)A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular NetworksProceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3272036.3272037(1-7)Online publication date: 25-Oct-2018
https://dl.acm.org/doi/10.1145/3272036.3272037

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cover image ACM Conferences

DIVANet '17: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

November 2017

160 pages

ISBN:9781450351645

DOI:10.1145/3132340

General Chair:
Mirela S.M.A. Notare
Faculdade de Tecnologia em Transporte Aéreo, Brazil
,
Program Chair:
Rodolfo Coutinho
UFMG, Brazil

Copyright © 2017 ACM.

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Published: 21 November 2017

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Army Research Laboratory

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MSWiM '17

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SIGSIM

MSWiM '17: 20th ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems

November 21 - 25, 2017

Florida, Miami, USA

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Cited By

Silvius MMcHenry MLackpour AMolnar J(2022)Multi-Band Control Channel Architecture (MICCA): Mass Reconfiguration Protocol for Spectrum Dependent SystemsMILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)10.1109/MILCOM55135.2022.10017533(192-197)Online publication date: 28-Nov-2022
https://doi.org/10.1109/MILCOM55135.2022.10017533
Zhang DYu FYang RTang HNotare MSun PCoutinho R(2018)A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular NetworksProceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3272036.3272037(1-7)Online publication date: 25-Oct-2018
https://dl.acm.org/doi/10.1145/3272036.3272037

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