A Multiconstrained QoS-Compliant Routing Scheme for Highway-Based Vehicular Networks

With the deployment of multimedia services over VANETs, there is a need to develop new techniques to insure various levels of quality of services (QoS) for real time applications. However, in such environments, it is not an easy task to determine adequate routes to transmit data with specific application QoS requirements. In this paper, we propose CBQoS-Vanet, a new QoS-based routing protocol tailored towards vehicular networks in a highway scenario. This protocol is based on the use of two techniques: first a clustering technique which organizes and optimizes the exchange of routing information and, second, a bee colony inspired algorithm, which calculates the best routes from a source to a destination based on given QoS criteria. In our approach, clusters are formed around cluster heads that are themselves elected based on QoS considerations. The QoS criteria here are based on the two categories of metrics: QoS metrics and mobility metrics. The QoS metrics consists of the available bandwidth, the end-to-end delay, and the jitter. The mobility metrics consists of link expiration time and average velocity difference. We have studied the performance of CBQoS-Vanet through simulation and compared it to existing approaches. The results that we obtained show that our technique outperforms, in many aspects, the approaches that it was compared against.

[1]  Lila Boukhatem,et al.  An Intersection-based QoS Routing in Vehicular Ad Hoc Networks , 2015, Mobile Networks and Applications.

[2]  Abdelhamid Mellouk,et al.  QoS Swarm Bee Routing Protocol for Vehicular Ad Hoc Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[3]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[4]  Jérôme Haerri,et al.  Performance comparison of AODV and OLSR in VANETs urban environments under realistic mobility patterns , 2006 .

[5]  Isabelle Guérin Lassous,et al.  Available bandwidth estimation in GPSR for VANETs , 2013, DIVANet '13.

[6]  Abdelhamid Mellouk,et al.  MQBV: multicast quality of service swarm bee routing for vehicular ad hoc networks , 2015, Wirel. Commun. Mob. Comput..

[7]  O.K. Tonguz,et al.  What is the Best Achievable QoS for Unicast Routing in VANETs? , 2008, 2008 IEEE Globecom Workshops.

[8]  Hannes Hartenstein,et al.  A tutorial survey on vehicular ad hoc networks , 2008, IEEE Communications Magazine.

[9]  Gongjun Yan,et al.  Provisioning Vehicular Ad Hoc Networks with Quality of Service , 2010, BWCCA.

[10]  Liren Zhang,et al.  A Novel Cluster-Based Protocol for Topology Discovery in Vehicular Ad Hoc Network , 2012, ANT/MobiWIS.

[11]  P. PatilV.,et al.  Effect of Traffic Type on the Performance of Table Driven and On Demand Routing Protocols of MANET , 2012 .

[12]  Montserrat Ros,et al.  A Comparative Survey of VANET Clustering Techniques , 2017, IEEE Communications Surveys & Tutorials.

[13]  Sheng-Shih Wang,et al.  PassCAR: A passive clustering aided routing protocol for vehicular ad hoc networks , 2013, Comput. Commun..

[14]  Guoliang Xue,et al.  Minimum-cost QoS multicast and unicast routing in communication networks , 2003, IEEE Trans. Commun..

[15]  Sherali Zeadally,et al.  HyBR: A Hybrid Bio-inspired Bee swarm Routing protocol for safety applications in Vehicular Ad hoc NETworks (VANETs) , 2013, J. Syst. Archit..

[16]  Christoph Sommer A Multi-Channel IEEE 1609.4 and 802.11p EDCA Model for the Veins Framework , 2012 .

[17]  Omar Abdel Wahab,et al.  VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks , 2013, Comput. Commun..

[18]  Huirong Fu,et al.  An IEEE 802.11p-Based Multichannel MAC Scheme With Channel Coordination for Vehicular Ad Hoc Networks , 2012, IEEE Transactions on Intelligent Transportation Systems.

[19]  Ashok Koujalagi Bandwidth Estimation For IEEE 802.11 Based Ad Hoc Networks , 2014 .

[20]  El-Ghazali Talbi,et al.  A survey on bee colony algorithms , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

[21]  Ruppa K. Thulasiram,et al.  MAZACORNET: Mobility aware zone based ant colony optimization routing for VANET , 2013, 2013 IEEE Congress on Evolutionary Computation.

[22]  Yuefeng Ji,et al.  An Adaptive Routing Protocol Based on QoS and Vehicular Density in Urban VANETs , 2015, Int. J. Distributed Sens. Networks.

[23]  Abdelhamid Mellouk,et al.  Bee life-based multi constraints multicast routing optimization for vehicular ad hoc networks , 2013, J. Netw. Comput. Appl..

[24]  Hang Su,et al.  Clustering-Based Multichannel MAC Protocols for QoS Provisionings Over Vehicular Ad Hoc Networks , 2007, IEEE Transactions on Vehicular Technology.

[25]  Qi Shi,et al.  Situation-Aware QoS Routing Algorithm for Vehicular Ad hoc Networks , 2022 .

[26]  Falko Dressler,et al.  Progressing toward realistic mobility models in VANET simulations , 2008, IEEE Communications Magazine.

[27]  Abderrahmane Lakas,et al.  CBQoS-Vanet: Cluster-based artificial bee colony algorithm for QoS routing protocol in VANET , 2016, 2016 International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT).

[28]  W. Y. Szeto,et al.  An artificial bee colony algorithm for the capacitated vehicle routing problem , 2011, Eur. J. Oper. Res..