Adaptación dinámica del tiempo de retraso de difusión de mensajes de emergencia en redes vehiculares cognitivas

This article presents a protocol for the dissemination of emergency safety messages that uses a dynamic adaptation of the delay time in the environment of a cognitive vehicular network. The scenario studied considers the spectrum sharing between the band for vehicular communications and the digital television band with the objective of mitigating the effects of the diffusion storm on a vehicular network. Two of the most commonly used diffusion mitigation techniques in the literature are compared against the proposed protocol in terms of the probabilities of reachability of emergency messages and channel occupancy. The numerical results show that the protocol with the dynamic adaptation of the time presents a better performance in conditions of high density of vehicles, which is characteristic of a diffusion storm scenario.

[1]  Yanxiang He,et al.  An Efficient Multi-hop Broadcast Protocol for Emergency Messages Dissemination in VANETs , 2017 .

[2]  Onur Altintas,et al.  Vehicular Communication: Enhanced Networking Through Dynamic Spectrum Access , 2013, IEEE Vehicular Technology Magazine.

[3]  Hiroshi Harada,et al.  Cognitive communication in TV white spaces: An overview of regulations, standards, and technology [Accepted From Open Call] , 2013, IEEE Communications Magazine.

[4]  Ozan K. Tonguz,et al.  Broadcast storm mitigation techniques in vehicular ad hoc networks , 2007, IEEE Wireless Communications.

[5]  Jagruti Sahoo,et al.  Binary-Partition-Assisted MAC-Layer Broadcast for Emergency Message Dissemination in VANETs , 2011, IEEE Transactions on Intelligent Transportation Systems.

[6]  Magdy A. Bayoumi,et al.  Standardization of cognitive radio networking: a comprehensive survey , 2015, Ann. des Télécommunications.

[7]  Etienne Alain Feukeu,et al.  Overcoming Broadcast Storm Problem in a Vehicular Network , 2017, 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

[8]  Eylem Ekici,et al.  Urban multi-hop broadcast protocol for inter-vehicle communication systems , 2004, VANET '04.

[9]  Zhili Sun,et al.  Trinary Partitioned Black-Burst-Based Broadcast Protocol for Time-Critical Emergency Message Dissemination in VANETs , 2014, IEEE Transactions on Vehicular Technology.

[10]  Danijela Cabric,et al.  Interplay Between TVWS and DSRC: Optimal Strategy for Safety Message Dissemination in VANET , 2014, IEEE Journal on Selected Areas in Communications.

[11]  Hideaki Tanaka,et al.  Implementation and Performance Evaluation of Distributed Autonomous Multi-Hop Vehicle-to-Vehicle Communications over TV White Space , 2015, Mob. Networks Appl..

[12]  Magdy A. Bayoumi,et al.  An overview of IEEE standardization efforts for cognitive radio networks , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

[13]  Eylem Ekici,et al.  An Efficient Fully Ad-Hoc Multi-Hop Broadcast Protocol for Inter-Vehicular Communication Systems , 2006, 2006 IEEE International Conference on Communications.

[14]  Robert Kastner,et al.  Evaluation of Car-2-X scenarios for automated driving , 2015 .

[15]  Ulises Pineda-Rico,et al.  Broadcast Storm Mitigation of ESMs Using Spectrum Sharing in Cognitive Radio VANETs , 2018, 2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE).

[16]  Jean-Marie Bonnin,et al.  Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges , 2014, EURASIP J. Wirel. Commun. Netw..

[17]  Hai Zhao,et al.  A Multi-Hop Broadcast Protocol for Emergency Message Dissemination in Urban Vehicular Ad Hoc Networks , 2016, IEEE Transactions on Intelligent Transportation Systems.