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Cluster Computing

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05-05-2017

PB-MII: replacing static RSUs with public buses-based mobile intermediary infrastructure in urban VANET-based clouds

Authors: Rasheed Hussain, Zeinab Rezaeifar, Junggab Son, Md Zakirul Alam Bhuiyan, Sangjin Kim, Heekuck Oh

Published in: Cluster Computing | Issue 3/2017

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Abstract

The success of vehicular ad hoc network (VANET) among vehicle consumers is subject to the quality of comfort and realism of safety promised by this technology. Recently VANET evolved to a rather more application and services-rich paradigm referred to as VANET-based clouds. However, the initial deployment stage of VANET and its successor VANET-based cloud is going to be a daunting challenge due to less market penetration rate of the technology-enabled vehicles, and the deployment and cost of road-side infrastructure. To fill the gaps, in this paper, after arguing on the predictability of spatiotemporal characteristics of the public transport buses in urban areas, we propose a mechanism where these buses are used as mobile gateways (MGs) among vehicles on the road, VANET authorities, and the cloud infrastructure. MGs work as functional entities of the mobile intermediary infrastructure (MII) in VANET-based clouds. Our proposed scheme can serve as a feasible, cost-effective, and pre-established MII for standalone VANET and VANET-based clouds. We furthermore, carry out feasibility analysis through a communication scheme in VANET-based clouds. More precisely we consider the traffic information aggregation and dissemination in VANET-based clouds. In order to argue on the feasibility of buses as MGs, we consider real-time road network dynamics in Seoul, South Korea where the public buses provide perfect connectivity to other vehicular nodes in the neighborhood. In VANET-based clouds application, vehicles share coarse-grained information with clouds through MGs and receive fine-grained traffic information from cloud infrastructure through MGs in real-time. Our simulation results show that MGs provide almost 100% coverage in average traffic scenarios and about 98% coverage in worst traffic scenarios. These MGs also provide the vehicles with about 84% traffic information in worst case and over 90% traffic information in average traffic scenarios. Our proposed infrastructure can be a strong rationale for the initial deployment of these technologies and can possibly be a reasonable partial or full replacement for static RSUs in the urban scenarios.

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In this paper, we use the terms ‘heart-beat messages’, CAM, and beacons interchangeably. These terms refer to the same concept of current mobility information.

SAE J2735, Dedicated Short Range Communications (DSRC) Message Set Dictionary, 2009.

[Online] https://www.qualcomm.com/news/releases/2015/03/02/qualcomm-drives-future-automotive-connectivity-new-4g-lte-modems.

https://en.wikipedia.org/wiki/Skip_list.

The length of the segments has been kept variable and its effect is checked through simulation which will be discussed in the feasibility analysis.

http://standards.sae.org/j2735_200911/.

It is worth mentioning that information received from the cloud through MG could be used for the consistency of the information itself. For instance, vehicles construct local traffic view through one-hop CAMs and could compare the constructed information with that of the received information from MG.

We assume that mechanism for checking the integrity of the warning messages and their reliability are already in place and are out of the scope of this paper.

http://lca.epfl.ch/projects/trans/.

In major cities there are designated lanes for only buses as well. Such phenomenon proves our claim as well.

http://citynet-ap.org/wp-content/uploads/2014/06/Seoul-Public-Transportation-English.pdf.

http://sumo-sim.org/.

“Network Simulator ns-2,” http://www.isi.edu/nsnam/ns/.

http://read.pudn.com/downloads155/sourcecode/comm/wireless/689495/vanetrbc-ns229/vanetrbc_ns2.pdf.

Whaiduzzaman, M., et al.: A survey on vehicular cloud computing. J. Netw. Comput. Appl. 40, 325–344 (2014). doi:10.1016/j.jnca.2013.08.004 CrossRef

Eltoweissy, M., et al.: Towards autonomous vehicular clouds. In: Zheng, J., et al. (eds.) Ad Hoc Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 49, pp. 1–16. Springer, Berlin (2010)

M. Abuelela, S. Olariu: Taking VANET to the clouds. In: Editor (ed.) Book Taking VANET to the Clouds, Series Taking VANET to the Clouds, ACM, pp. 6–13 (2010)

Q. Xu, et al.: Vehicle-to-vehicle safety messaging in DSRC. In: Editor (ed.) Book Vehicle-to-vehicle safety messaging in DSRC, Series Vehicle-to-vehicle safety messaging in DSRC, ACM, pp. 19–28 (2004)

Hussain, R., et al.: Rethinking vehicular communications: merging VANET with cloud computing. In: 2012 IEEE 4th International Conference on Proceedings of the Cloud Computing Technology and Science (CloudCom), pp. 606–609 (2012)

Mao, Y., et al.: A game-based incentive model for service cooperation in VANETs. Concurr. Comput. 28(3), 674–687 (2016). doi:10.1002/cpe.3340 CrossRef

Malandrino, F., et al.: Verification and inference of positions in vehicular networks through anonymous beaconing. In: IEEE transactions on mobile computing, vol. 13, pp. 2415–2418 (2014)

Meireles, R., et al.: Experimental study on the impact of vehicular obstructions in VANETs. In: Proceedings of the Vehicular Networking Conference (VNC), 2010 IEEE, pp. 338–345

Boban, M., et al.: TVR—tall vehicle relaying in vehicular networks. In: IEEE Transactions on Mobile Computing, vol. 99 (2013). doi:10.1109/tmc.2013.70

10.

Boban, M., et al.: Exploiting the height of vehicles in vehicular communication. In: 2011 IEEE Proceedings of the Vehicular Networking Conference (VNC), pp. 163–170 (2011)

11.

Cavalcante, E.S., et al.: Roadside unit deployment for information dissemination in a VANET: an evolutionary approach. In: Book Roadside unit deployment for information dissemination in a VANET: an evolutionary approach. Series Roadside unit deployment for information dissemination in a VANET: an evolutionary approach, pp. 27–34. ACM (2012)

12.

Liu, X., et al.: SEMD: Secure and efficient message dissemination with policy enforcement in VANET. J. Comput. Syst. Sci. 82(8), 1316–1328 (2016)MathSciNetCrossRefMATH

13.

Tabassum, M., et al.: Interference-aware high-throughput channel allocation mechanism for CR-VANETs. EURASIP J. Wirel. Commun. Netw. 2016(1), 2 (2016). doi:10.1186/s13638-015-0494-z CrossRef

14.

Barrachina, J., et al.: Road side unit deployment: a density-based approach. Intell. Transp. Syst. Mag. IEEE 5(3), 30–39 (2013). doi:10.1109/MITS.2013.2253159 CrossRef

15.

Aslam, B., et al.: Optimal roadside units placement in urban areas for vehicular networks. In: 2012 IEEE Symposium on Proceedings of the Computers and Communications (ISCC), pp. 000423–000429 (2012)

16.

Yingsi, L., et al.: Optimal placement and configuration of roadside units in vehicular networks. In: 2012 IEEE 75th Proceedings of the Vehicular Technology Conference (VTC Spring), pp. 1–6 (2012)

17.

Wu, T.-J., et al.: A cost-effective strategy for road-side unit placement in vehicular networks. IEEE Trans. Commun. 60(8), 2295–2303 (2012). doi:10.1109/TCOMM.2012.062512.100550 CrossRef

18.

Xiong, Y., et al.: RoadGate: mobility-centric roadside units deployment for vehicular networks. Int. J. Distrib. Sens. Netw. 2013, 10 (2013). doi:10.1155/2013/690974

19.

Hussain, R., et al.: Using public buses as mobile gateways in vehicular clouds. In: 2014 IEEE International Conference on Proceedings of the Consumer Electronics (ICCE), pp. 175–176 (2014)

20.

Mershad, K., et al.: ROAMER: roadside units as message routers in VANETs. Ad Hoc Netw. 10(3), 479–496 (2012)CrossRef

21.

Filippini, I., et al.: Non-cooperative RSU deployment in vehicular networks. In: 2012 9th Annual Conference on Proceedings of the Wireless On-Demand Network Systems and Services (WONS), pp. 79–82 (2012)

22.

Liu, Y., et al.: Roadside units deployment for content downloading in vehicular networks. Proc. IEEE Int. Conf. Commun. (ICC) 2013, 6365–6370 (2013)

23.

Mehar, S., et al.: An Optimized Roadside Units (RSU) placement for delay-sensitive applications in vehicular networks. In: Proceedings of the 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

24.

Silva, C.M., et al.: Non-intrusive planning the roadside infrastructure for vehicular networks. IEEE Trans. Intelligent Transp. Syst. 17(4), 938–947 (2016). doi:10.1109/TITS.2015.2490143

25.

Wang, Y., et al.: Delivery delay analysis for roadside unit deployment in vehicular ad hoc networks with intermittent connectivity. IEEE Trans. Veh. Technol. (2015). doi:10.1109/TVT.2015.2506599

26.

Kitani, T.: Efficient VANET-based traffic information sharing using buses on regular routes. In: Proceedings of the Vehicular Technology Conference, et al.: VTC Spring 2008, pp. 3031–3036 . IEEE (2008)

27.

Jie, L., et al.: MI-VANET: a new mobile infrastructure based VANET architecture for urban environment. In: 2010 IEEE 72nd Proceedings of the Vehicular Technology Conference Fall (VTC 2010-Fall), pp. 1–5 (2010)

28.

Wei Kuang, L., et al.: Bus assisted connectionless routing protocol for metropolitan VANET. In: 2011 Fifth International Conference on Proceedings of the Genetic and Evolutionary Computing (ICGEC), pp. 57–60 (2011)

29.

Chyi-Ren, D., et al.: An efficient data circulation and discovery scheme in VANETs using public transportation systems. In: International Conference on Proceedings of the Network and Service Management (CNSM) (2010)

30.

Holzer, A., et al.: BROADTRIP: Broadcast for transit in platoons. In: 2011 IEEE 7th International Conference on Proceedings of the Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 301–306 (2011)

31.

Lei, Z., et al.: Multi-modal message dissemination in vehicular ad-hoc networks. In: 2012 1st IEEE International Conference on Proceedings of the Communications in China (ICCC), pp. 670–675 (2012)

32.

Yuwei, X. et al.: Efficient detection scheme for urban traffic congestion using buses. In: 2012 26th International Conference on Proceedings of the Advanced Information Networking and Applications Workshops (WAINA), pp. 287–293 (2012)

33.

Kun-chan, L., Ze Ming, W.: On the feasibility of using public transport as data mules for traffic monitoring. In: 2008 IEEE Proceedings of the Intelligent Vehicles Symposium, pp. 979–984 (2008)

34.

Xiaoxiao, J., Du, D.H.C.: A BUS vehicular network integrated with traffic infrastructure. In: 2013 International Conference on Proceedings of the Connected Vehicles and Expo (ICCVE), pp. 562–567 (2013)

35.

Yan, H., et al.: Multicast capacity analysis for social-proximity urban bus-assisted VANETs. In: 2013 IEEE International Conference on Proceedings of the Communications (ICC), pp. 6138–6142

36.

Tonguz, O.K., Viriyasitavat, W.: Cars as roadside units: a self-organizing network solution. IEEE Commun. Mag. 51(12), 112–120 (2013). doi:10.1109/MCOM.2013.6685766 CrossRef

37.

U.S.D.o.T. (DoT): Research and Innovative Technology Administration. http://www.itscosts.its.dot.gov/

38.

Hussain, R., et al.: A paradigm shift from vehicular ad hoc networks to vanet-based clouds. Wirel. Pers. Commun. 83(2), 1131–1158 (2015). doi:10.1007/s11277-015-2442-y CrossRef

39.

Ibrahim, K., Weigle, M.C.: CASCADE: cluster-based accurate syntactic compression of aggregated data in VANETs. In: 2008 IEEE Proceedings of the GLOBECOM Workshops, pp. 1–10 (2008)

40.

Alsubaihi, B., Boukerche, A.: Semantic and self-decision geocast protocol for data dissemination over VANET (SAS-GP). In: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), pp. 1948–1953 (2015)

41.

Ucar, S., et al.: VeSCA: Vehicular stable cluster-based data aggregation. In: Proceedings of the International Conference on Connected Vehicles and Expo (ICCVE), pp. 1080–1085 (2014)

42.

Harri, J., et al.: Rethinking the overhead of geo-localization information for vehicular communications. In: 2007 IEEE 66th Proceedings of the Vehicular Technology Conference, 2007. VTC-2007 Fall. pp. 2111–2115 (2007)

43.

Sommer, C., et al.: Traffic information systems: efficient message dissemination via adaptive beaconing. IEEE Commun. Mag. 49(5), 173–179 (2011). doi:10.1109/MCOM.2011.5762815 CrossRef

Title: PB-MII: replacing static RSUs with public buses-based mobile intermediary infrastructure in urban VANET-based clouds
Authors: Rasheed Hussain
Zeinab Rezaeifar
Junggab Son
Md Zakirul Alam Bhuiyan
Sangjin Kim
Heekuck Oh
Publication date: 05-05-2017
Publisher: Springer US
Published in: Cluster Computing / Issue 3/2017
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-0883-7

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