A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol

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dc.contributor.author El Khatib, Amjad
dc.contributor.author Mourad, Azzam
dc.contributor.author Otrok, Hadi
dc.contributor.author Abdel Wahab, Omar
dc.contributor.author Bentahar, Jamal
dc.date.accessioned 2017-03-09T12:25:39Z
dc.date.available 2017-03-09T12:25:39Z
dc.date.issued 2017-03-09
dc.identifier.isbn 9781467365550 en_US
dc.identifier.uri http://hdl.handle.net/10725/5345
dc.description.abstract In this paper, we address the problem of detecting misbehaving vehicles in Vehicular Ad-Hoc Network using VANET QoS-OLSR, Quality of Service-Optimized Link State Routing protocol. VANET QoS-OLSR is a clustering protocol that is able to increase the stability of the network while maintaining the QoS requirements. However, in this protocol, vehicles can misbehave either by under-speeding or over- speeding the road speed limits after clusters are formed. Such misbehavior leads to a widely disconnected network, which raises the need for a detection mechanism. The majority of the existing detection mechanisms are non-cooperative in the sense that they are based on unilateral judgments, which may be untrustworthy. Others employ cooperative detection scheme with evidence-based aggregation techniques such as the Dempster-Shafer (DS) which suffers from the (1) instability when observations come from dependent sources and (2) absence of learning mechanism. To overcome these limitations, we propose a cooperative method using Artificial Neural Network (ANN), which is able to (1) aggregate judgments and prevent the unilateral decisions, and (2) benefit from the previous detection experience by continuous learning. Simulation results show that our model improves the detection probability and reduces the false alarms rate. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 200904853 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords Neurons en_US
dc.keywords Vehicular ad hoc networks en_US
dc.keywords Vehicles en_US
dc.keywords Artificial neural networks en_US
dc.keywords Quality of service en_US
dc.keywords Protocols en_US
dc.identifier.doi http://dx.doi.org/10.1109/ICUWB.2015.7324400 en_US
dc.identifier.ctation El Khatib, A., Mourad, A., Otrok, H., Wahab, O. A., & Bentahar, J. (2015, October). A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. In 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB) (pp. 1-5). IEEE. en_US
dc.author.email azzam.mourad@lau.edu.lb en_US
dc.conference.date 4-7 October, 2015 en_US
dc.conference.place Quebec, Canada en_US
dc.conference.title 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ieeexplore.ieee.org/abstract/document/7324400/ en_US
dc.orcid.id https://orcid.org/0000-0001-9434-5322
dc.author.affiliation Lebanese American University en_US

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