A cluster-based vehicular cloud architecture with learning-based resource management

Journal of Supercomputing

Volumn 71, Issue 4, 2015, Pages 1401-1426

  Arkian, Hamid Reza ^a   Atani, Reza Ebrahimi ^a   Diyanat, Abolfazl ^b   Pourkhalili, Atefe ^a  

^a UNIVERSITY OF GUILAN   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Clustering; Fuzzy logic; Q Learning; Vehicular ad hoc network (VANET); Vehicular cloud

Indexed keywords

AD HOC NETWORKS; CLUSTER COMPUTING; FUZZY LOGIC; INTELLIGENT SYSTEMS; NATURAL RESOURCES MANAGEMENT; NETWORK ARCHITECTURE; RESOURCE ALLOCATION; TELECOMMUNICATION NETWORKS; TRANSPORTATION; VEHICLES; WIRELESS TELECOMMUNICATION SYSTEMS;

CLUSTER-HEAD SELECTIONS; CLUSTERING; INTELLIGENT TRANSPORTATION SYSTEMS; PROPOSED ARCHITECTURES; Q-LEARNING; RESOURCE ALLOCATION PROBLEM; VEHICULAR CLOUDS; WIRELESS COMMUNICATION TECHNOLOGY;

VEHICULAR AD HOC NETWORKS;

EID: 84939970784     PISSN: 09208542     EISSN: 15730484     Source Type: Journal    
DOI: 10.1007/s11227-014-1370-z     Document Type: Article

References (44)

1. Al-Sultan S, Al-Doori MM, Al-Bayatti AH, Zedan H (2014) A comprehensive survey on vehicular Ad Hoc network. J Netw Comput Appl 37:380–392
2. Anda J, LeBrun J, Ghosal D, Chuah CN, Zhang M (2005) Vgrid: vehicular adhoc networking and computing grid for intelligent traffic control. In: IEEE 61st Vehicular Technology Conference, vol 5, pp 2905–2909
3. Arbabi H, Weigle M (2011) Monitoring free flow traffic using vehicular networks. In: IEEE Consumer Communications and Networking Conference (CCNC), pp 272–2760
4. Arkian HR, Atani RE, Kamali S (2014) Fcvca: A fuzzy clustering-based vehicular cloud architecture. In: 7th International Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall), pp 24–28
5. Arkian HR, Atani RE, Pourkhalili A, Kamali S (2014) Cluster-based traffic information generalization in vehicular ad-hoc networks. Vehicular Communications http://dx.doi.org/10.1016/j.vehcom.2014.08.003
6. Boushaba M, Hafid A, Belbekkouche A (2011) Reinforcement learning-based best path to best gateway scheme for wireless mesh networks. In: IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp 373–379
7. Chen J, Cao X, Zhang Y, Xu W, Sun Y (2011) Measuring the performance of movement-assisted certificate revocation list distribution in VANET. Wirel Commun Mob Comput 11(7):888–898
8. Das SK (2010) Mobile handset design. Wiley, Singapore. doi:10.1002/9780470824696
9. Dinh HT, Lee C, Niyato D, Wang P (2013) A survey of mobile cloud computing: architecture, applications, and approaches. Wirel Commun Mob Comput 13(18):1587–1611
10. Fernando N, Loke SW, Rahayu W (2013) Mobile cloud computing: a survey. Future Gener Comput Syst 29(1):84–106
11. Gerla M, Tzu-Chieh Tsai J (1995) Multicluster, mobile, multimedia radio network. Wirel Netw 1(3):255–265
12. Hosseininezhad S, Shirazi G, Leung VCM (2011) RLAB: Reinforcement learning-based adaptive broadcasting for Vehicular Ad-Hoc Networks. In: IEEE 73rd Vehicular Technology Conference (VTC Spring), pp 1–5
13. Huerta-Canepa G, Lee D (2010) A Virtual Cloud Computing Provider for Mobile Devices. In: Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & #38; Services: Social Networks and Beyond, ACM, MCS ’10, pp 6:1–6:5
14. Hussain R, Son J, Eun H, Kim S, Oh H (2012) Rethinking vehicular communications: Merging VANET with cloud computing. In: IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom), pp 606–609
15. Karagiannis G, Altintas O, Ekici E, Heijenk G, Jarupan B, Lin K, Weil T (2011) Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. Commun Surv Tutor, IEEE 13(4):584–616
16. Klir GJ, St Clair U (1997) Fuzzy set theory: foundations and applications. Prentice-Hall Inc, Upper Saddle River
17. Mamdani EH (1977) Application of fuzzy logic to approximate reasoning using linguistic synthesis. Comput, IEEE Trans C–26(12):1182–1191
18. May A (1990) Traffic flow fundamentals. Prentice Hall, Englewood Cliffs, NJ, USA
19. Mendel J (1995) Fuzzy logic systems for engineering: a tutorial. Proc IEEE 83(3):345–377
20. Mershad K, Artail H (2013) Finding a STAR in a Vehicular Cloud. Intel Transp Syst Mag, IEEE 5(2):55–68
21. Michael Behrisch JEDK, Bieker L (2011) SUMO-simulation of urban mobility: an overview. The Third International Conference on Advances in System Simulation, SIMUL pp 63–68
22. Mousannif H, Khalil I, Moatassime HA (2011) Cooperation as a service in VANETs. J Univers Comput Sci 17(8):1202–1218
23. Olariu S, Weigle MC (2009) Vehicular networks: from theory to practice, 1st edn. Chapman & Hall/CRC, Boca Raton, USA
24. Olariu S, Khalil I, Abuelela M (2011) Taking VANET to the clouds. Int J Pervasive Comput Commun 7(1):7–21
25. Olariu S, Hristov T, Yan G (2013) The next paradigm shift: from vehicular networks to vehicular clouds. Wiley
26. Panait L, Luke S (2005) Cooperative multi-agent learning: the state of the art. Auton Agents Multi-Agent Syst 11(3):387–434
27. Rawashdeh Z, Mahmud S (2012) A novel algorithm to form stable clusters in vehicular ad hoc networks on highways. EURASIP J Wirel Commun Netw 1:1–13
28. Yu R, Zhang Y, Gjessing S, Xia W, Yang K (2013) Toward cloud-based vehicular networks with efficient resource management. IEEE Netw 27(5):48–55. doi:10.1109/MNET.2013.6616115
29. Russel S, Norvig P (2003) Artificial intelligence: a modern approach, 2nd edn. Prentice Hall, USA
30. Satyanarayanan M (1996) Fundamental challenges in mobile computing. In: Proceedings of the Fifteenth Annual ACM Symposium on Principles of Distributed Computing, ACM, PODC ’96, pp 1–7
31. Sommer C (2012) Vehicles in network simulation (VEINS). http://veins.car2x.org
32. Tal I, Muntean GM (2013) User-oriented fuzzy logic-based clustering scheme for vehicular ad-hoc networks. In: IEEE 77th Vehicular Technology Conference (VTC Spring), pp 1–5
33. Uzcategui R, Acosta-Marum G (2009) WAVE: a tutorial. IEEE Commun Mag 47(5):126–133
34. Varga A (2011) OMNET++ discrete event simulation system user manual. 4.2.2
35. Venkataraman H, Delcelier R, Muntean GM (2013) A moving cluster architecture and an intelligent resource reuse protocol for vehicular networks. Wirel Netw 19(8):1881–1900
36. Vodopivec S, Bester J, Kos A (2012) A survey on clustering algorithms for vehicular ad-hoc networks. In: 35th International Conference on Telecommunications and Signal Processing (TSP), pp 52–56
37. Wahab OA, Otrok H, Mourad A (2013) VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks. Comput Commun 36(13):1422–1435
38. Watkins C, Dayan P (1992) Technical note: Q-Learning. Mach Learn 8:279–292
39. Whaiduzzaman M, Sookhak M, Gani A, Buyya R (2014) A survey on vehicular cloud computing. J Netw Comput Appl 40:325–344
40. Wisitpongphan N, Bai F, Mudalige P, Sadekar V, Tonguz O (2007) Routing in sparse vehicular ad hoc wireless networks. IEEE J Sel Areas Commun 25(8):1538–1556
41. Wu C, Ohzahata S, Kato T (2013) Flexible, portable, and practicable solution for routing in VANETs: a fuzzy constraint Q-learning approach. Veh Technol, IEEE Trans 62(9):4251–4263
42. Yan G, Olariu S, Weigle M (2010) Cross-layer location verification enhancement in vehicular networks. In: IEEE Intelligent Vehicles Symposium (IV), pp 95–100
43. Zeadally S, Hunt R, Chen YS, Irwin A, Hassan A (2012) Vehicular ad hoc networks (VANETS): status, results, and challenges. Telecommun Syst 50(4):217–241
44. Zrar Ghafoor K, Abu- Bakar K (2013) A fuzzy logic approach to beaconing for vehicular ad hoc networks. Telecommun Syst 52(1):139–149