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An efficient fault detection and diagnosis protocolfor vehicular networks

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DIVANet '13: Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications

Pages 23 - 30

https://doi.org/10.1145/2512921.2512935

Published: 03 November 2013 Publication History

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Abstract

Over the recent years, with the rapid growth of wireless communication technology, vehicular networks have gained a great deal of attention by the research community. In VANETs, vehicles can communicate with each other or with roadside units that allow access to back-end systems; this can provide drivers with useful information and enable them access to different Intelligent Transportation Systems (ITS) applications. For most these applications, the main goal is to guarantee safety on the road and passenger comfort. Road components are vulnerable to faults such as defected devices or failure in controllers. Therefore, an efficient fault detection and diagnostic model is most needed to mitigate communication problems among VANET components. In this paper, we propose a fault detection and diagnosis protocol for vehicular networks using the comparison based diagnosis approach. We present the protocol and report on its performance evaluation using an extensive set of simulation experiments.

References

[1]

Boukerche, A (2008). Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks. Wiley-IEEE Press, 77.

Digital Library

Google Scholar

[2]

Masson, G., Blough, D., and Sullivan, G. (1996). System Diagnosis. Prentice-Hall.

Google Scholar

[3]

A. Adya, P. Bahl, R. Chandra, and L. Qiu. (2004). Architecture and Techniques for Diagnosing Faults in IEEE 802.11 Infrastructure Networks. In Proc. of the 10th Int. Conf. on Mobile Computing and Networking (MobiCom 04),30--44.

Digital Library

Google Scholar

[4]

Cambruzzi, E. and Farines, J. and Macedo, R.J. and Kraus, W. (2010). An Adaptive Failure Detection System for Vehicular Ad-hoc Networks. IEEE Intelligent Vehicles Symposium (IV), 603--608.

Google Scholar

[5]

M. Malek.(1980). A Comparison Connection Assignment for Diagnosis of Multipro- cessor Systems. In Proc. 7th Int. Symp. on Comput. Architecture, 31--25.

Digital Library

Google Scholar

[6]

S.L. Hakimi and K.Y. Chwa. (1981). Schemes for Fault Tolerant Computing: A Comparison of Modularly Redundant and t-Diagnosable Systems. Inform. Contrn, 49:212--238.

Crossref

Google Scholar

[7]

J. Maeng and M. Malek. (1981). A Comparison Connection Assignment for Self- Diagnosis of Multiprocessor Systems. In Proc. 11th Int. Symp. on Fault-Tolerant Comput.173--175

Google Scholar

[8]

Maestrini, P. and Santi, P. (1995) Self Diagnosis of Processor Arrays Using a Comparison Model. In Proc. of the 14th Symp. on Reliable Distributed Systems, 218--228.

Digital Library

Google Scholar

[9]

N. Klimin, W. Enkelmann, H. Karl, and A. Wolisz. (2004). A Hybrid Approach for Location-based Service Discovery in Vehicular Ad Hoc Networks. In in Proc. of 1st Intl. Workshop on Intelligent Transportation (WIT), Citeseer.

Google Scholar

[10]

Chiang C.-F. and Tan, J. J. M. (2009). Using Node Diagnosability to Determine t-Diagnosability under the Comparison Diagnosis Model. IEEE Tran. on Computers. 58(1): 251--259.

Digital Library

Google Scholar

[11]

Hsieh, S.-Y. and Chen, Y.-S. (2008). Strongly Diagnosable Systems Under the Comparison Model. IEEE Transactions on Computers, 57(12):1720--1725.

Digital Library

Google Scholar

[12]

S. Chessa and P. Santi. Comparison-Based System-Level Fault Diagnosis in Ad Hoc Networks. In Proc. of the 20th IEEE Symp. on Reliable Distributed Systems 257--266., 2001

Crossref

Google Scholar

[13]

Elhadef, M., Boukerche, A., and Elkadiki, H. Performance Analysis of a Distributed Comparison-Based Self-Diagnosis Protocol for Wireless Ad Hoc Networks. Proc. of the 9th ACM Intl. Symp. on Modeling Analysis and Simul. of Wireless and Mobile Systems, 165--172.

Digital Library

Google Scholar

[14]

Elhadef, M., Boukerche, A., and Elkadiki, H. Self-Diagnosing Wireless Mesh and Ad Hoc Networks using an Adaptable Comparison-Based Approach. Proc. of the 2nd Intl. Conf. Availability, Reliability and Security, 983--990.

Digital Library

Google Scholar

Cited By

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Zhang SXu G(2023)Research on Smart Energy Management Based on Cloud ComputingProceedings of the 2023 4th International Conference on Computer Science and Management Technology10.1145/3644523.3644550(143-146)Online publication date: 13-Oct-2023
https://dl.acm.org/doi/10.1145/3644523.3644550
Weber JFerreto TZincir-Heywood N(2023)Exploring Anomaly Detection Techniques for Enhancing VANET Availability2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10200360(1-7)Online publication date: Jun-2023
https://doi.org/10.1109/VTC2023-Spring57618.2023.10200360
Liu JChen SGui GGacanin HSari HAdachi F(2023)Failure Detector Based on Vehicle Movement Prediction in Vehicular Ad-Hoc NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2023.326610672:9(11657-11667)Online publication date: Sep-2023
https://doi.org/10.1109/TVT.2023.3266106
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An efficient fault detection and diagnosis protocolfor vehicular networks

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Published In

DIVANet '13: Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications

November 2013

170 pages

ISBN:9781450323581

DOI:10.1145/2512921

General Chair:
Mirela S.M.A. Notare
Barddal University, Brazil
,
Program Chair:
Abdelhamid Mammeri
University of Ottawa, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 03 November 2013

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SIGSIM

MSWiM '13: 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 3 - 8, 2013

Barcelona, Spain

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DIVANet '13 Paper Acceptance Rate 16 of 110 submissions, 15%;

Overall Acceptance Rate 70 of 308 submissions, 23%

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Zhang SXu G(2023)Research on Smart Energy Management Based on Cloud ComputingProceedings of the 2023 4th International Conference on Computer Science and Management Technology10.1145/3644523.3644550(143-146)Online publication date: 13-Oct-2023
https://dl.acm.org/doi/10.1145/3644523.3644550
Weber JFerreto TZincir-Heywood N(2023)Exploring Anomaly Detection Techniques for Enhancing VANET Availability2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10200360(1-7)Online publication date: Jun-2023
https://doi.org/10.1109/VTC2023-Spring57618.2023.10200360
Liu JChen SGui GGacanin HSari HAdachi F(2023)Failure Detector Based on Vehicle Movement Prediction in Vehicular Ad-Hoc NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2023.326610672:9(11657-11667)Online publication date: Sep-2023
https://doi.org/10.1109/TVT.2023.3266106
Jarrah HChong PRapson CSarkar NGutierrez J(2020)A probabilistic comparison-based fault diagnosis for hybrid faults in mobile networksComputer Communications10.1016/j.comcom.2020.03.042Online publication date: Mar-2020
https://doi.org/10.1016/j.comcom.2020.03.042
Almeida JRufino JAlam MFerreira J(2019)A Survey on Fault Tolerance Techniques for Wireless Vehicular NetworksElectronics10.3390/electronics81113588:11(1358)Online publication date: 16-Nov-2019
https://doi.org/10.3390/electronics8111358
Liu JDing FZHANGx D(2019)A Hierarchical Failure Detector Based on Architecture in VANETsIEEE Access10.1109/ACCESS.2019.2948599(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2948599
Liu TWen XWang SLeng CLiu YZhang XPeng XCai R(2018)Research on Fault Diagnosis Method of Board-level Circuit Based on Genetic AlgorithmProcedia Computer Science10.1016/j.procs.2018.04.241131:C(495-501)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1016/j.procs.2018.04.241

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A Traffic Management Service Based on V2I Communication for Vehicular Ad-hoc Networks

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