Intelligent Technique for Seamless Vertical Handover in Vehicular Networks
Authors: 
Shidrokh Goudarzi, Wan Haslina Hassan, Mohammad Hossein Anisi, Muhammad Khurram Khan, Seyed Ahmad SoleymaniAuthors Info & Claims
Pages 1462 - 1477
Abstract
Seamless mobility is a challenging issue in the area of research of vehicular networks that are supportive of various applications dealing with the intelligent transportation system (ITS). The conventional mobility management plans for the Internet and the mobile ad hoc network (MANET) is unable to address the needs of the vehicular network and there is severe performance degradation because of the vehicular networks' unique characters such as high mobility. Thus, vehicular networks require seamless mobility designs that especially developed for them. This research provides an intelligent algorithm in providing seamless mobility using the media independent handover, MIH (IEEE 802.21), over heterogeneous networks with different access technologies such as Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), as well as the Universal Mobile Telecommunications System (UMTS) for improving the quality of service (QoS) of the mobile services in the vehicular networks. The proposed algorithm is a hybrid model which merges the biogeography-based optimization or BBO with the Markov chain. The findings of this research show that our method within the given scenario can meet the requirements of the application as well as the preferences of the users.
References
[1]
Miorandi D, Sicari S, De Pellegrini F, Chlamtac I (2012) Internet of things: vision, applications and research challenges. AdHoc Networks 10(7):1497---1516
[2]
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787---2805
[3]
Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29(7):1645---1660
[4]
Henry PS, Luo H (2002) WiFi: what's next? IEEE Commun Mag 40(12):66---72
[5]
Broustis I, Faloutsos M (2008) Routing in vehicular networks: feasibility, modeling, and security. Int J Veh Technol 2008:1---8. Available: http://www.hindawi.com/GetArticle.aspx?doi=10.1155/2008/267513&e=cta
[6]
IEEE (2009) Standard for local and metropolitan area networks-part 21: Me- dia independent handover. Available:
[7]
Jiang D, Xu Z, Lv Z (2015) A multicast delivery approach with minimum energy consumption for wireless multi-hop networks. Telecommun Syst 62(4):771---782
[8]
Jiang D, Xu Z, Wang W, Wang Y, Han Y (2015) A collaborative multi-hop routing algorithm for maximum achievable rate. J Netw Comput Appl 57:182---191
[9]
Jiang D, Wang Y, Yao C, Han Y (2015) An effective dynamic spectrum access algorithm for multi-hop cognitive wireless networks. Comput Netw 84:1---16
[10]
Jiang D, Xu Z, Li W, Chen Z (2015) Network coding-based energy-efficient multicast routing algorithm for multi-hop wireless networks. J Syst Softw 104:152---165
[11]
Akyildiz IF, McNair J, Ho JSM, Uzunalioglu H, Wang W (1999) Mobility management in next-generation wireless systems. Proc IEEE 87(8):1347---1384
[12]
Ernst T, Lach Y (2007) Network mobility support terminology. Request for Comments: 4885, IETF. Available: http://tools.ietf.org/search/rfc4885
[13]
Marquez-Barja J, Calafate CT, Cano J.-C., Manzoni P (2011) An overview of vertical handover techniques: algorithms, protocols and tools. Comput Commun 34(8): 985---997. Available:
[14]
Petrut I, Otesteanu M, Balint C, Budura G (2015) HetNet handover performance analysis based on RSRP vs. RSRQ triggers. In the IEEE 38th International Conference on Telecommunications and Signal Processing (TSP). IEEE, Prague, pp 232---235
[15]
Zhang H, Jiang C, Cheng J, Leung VC (2015) Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks. IEEE Wirel Commun 22(3):92---99
[16]
Hsiao WD, Liu YX, Chao HC (2008) An intelligent WiMAX mobile network handoff mechanism with GPS consideration. In Proceeding of the 5th International Conference on Mobile Technology, Applications, and Systems, Mobility Conference 2008, Yilan, Taiwan, Sept 10- Sep 12, 2008. pp 1---5. Available:
[17]
Ylianttila M, Makela J, Pahlavan K (2005) Analysis of handoff in a location-aware vertical multi-access network. Comput Netw 47(2): 185---201. Available: http://www.sciencedirect.com/science/article/pii/S138912860400194X
[18]
Gu C, Song M, Zhang Y, Song J (2010) Access network selection strategy using position prediction in heterogeneous wireless networks. Frontiers Electr Electron Eng China 5(1):23---28.
[19]
Su D, Wen X, Zhang H, Zheng W (2010) A self-optimizing mobility management scheme based cell ID information in high velocity environment. In Proceeding of the second International Conference on Computing, Communication and Networking Technologies (ICCCNT 10). IEEE, Bangkok, pp 285---288
[20]
Wang S, Fan C, Hsu CH, Sun Q, Yang F (2016) A vertical handoff method via self-selection decision tree for internet of vehicles. IEEE Syst J 10(3):1183---1192
[21]
Wang LC, Chen A, Chen HH (2007) Network selection with joint vertical and horizontal handoff in heterogeneous WLAN and mobile WiMax systems. In IEEE 65th Vehicular Technology Conference, VTC2007-Spring 2007. IEEE, Dublin, pp 794---798
[22]
Ma B, Liao X (2012) Speed-adaptive vertical handoff algorithm based on fuzzy logic in vehicular heterogeneous networks. In 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, Sichuan, pp 371---375
[23]
Yang T, Rong P (2011) A fuzzy logic vertical handoff algorithm with motion trend decision. In 6th International Forum on Strategic Technology (IFOST). IEEE, Harbin, pp 1280---1283
[24]
Martinez-Morales JD, Pineda-Rico U, Stevens-Navarro E (2010) Performance comparison between MADM algorithms for vertical handoff in 4G networks. In 7th International Conference on Electrical Engineering Computing Science and Automatic Control (CCE). IEEE, Tuxtla Gutierrez, pp 309---314
[25]
Ismail A, Roh BH (2011) Adaptive handovers in heterogeneous networks using fuzzy MADM. In International Conference on Mobile IT Convergence (ICMIC). IEEE, Gyeongsangbuk-do, pp 99---104
[26]
Shafiee K, Attar A, Leung VCM (2011) Optimal distributed vertical handoff strategies in vehicular heterogeneous networks. IEEE J Sel Areas Commun 29(3):534---544.
[27]
Zhang H, Hui LIU, Wenmin MA, Zheng W, Xiangming WEN, Jiang C (2012) Mobility robustness optimization in femtocell networks based on ant colony algorithm. IEICE Trans Commun 95(4):1455---1458
[28]
Goudarzi S, Hassan WH, Anisi MH, Soleymani SA, Shabanzadeh P (2015). A novel model on curve fitting and particle swarm optimization for vertical handover in heterogeneous wireless networks. Math Probl Eng 2015(4):1---16
[29]
Sangeetha S, Victoire TAA (2016) Radio Access Technology Selection in Heterogeneous Wireless Networks Using a Hybrid Fuzzy-Biogeography Based Optimization Technique. Wirel Pers Commun 87(2):399---417
[30]
Pacheco-Paramo D, Pla V, Casares-Giner V, Martinez-Bauset J (2012) Optimal radio access technology selection on heterogeneous networks. Phys Commun 5(3):253---271
[31]
Carvalho GH, Woungang I, Anpalagan A, Coutinho RW, Costa JC (2013) A semi-Markov decision process-based joint call admission control for inter-RAT cell re-selection in next generation wireless networks. Comput Netw 57(17):3545---3562
[32]
El Helou M, Ibrahim M, Lahoud S, Khawam K (2014) Optimizing network information for radio access technology selection. In IEEE Symposium on Computers and Communication (ISCC). IEEE, Funchal, pp 1---6
[33]
El Helou, M., Ibrahim, M., Lahoud, S., & Khawam, K. (2013). Radio access selection approaches in heterogeneous wireless networks. In IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 521---528)
[34]
Devarapalli V, Wakikawa R, Petrescu A, Thubert P (2005) Network mobility (NEMO) basic support protocol. Internet Engineering Task Force (IETF). Reuest for Comment 3963, 1---33
[35]
Chen YS, Hsu CS, Cheng CH (2014) Network mobility protocol for vehicular ad hoc networks. Int J Commun Syst 27(11):3042---3063
[36]
Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702---713
[37]
Goudarzi S, Hassan WH, Anisi MH, Soleymani SA (2017) MDP-Based Network Selection Scheme by Genetic Algorithm and Simulated Annealing for Vertical-Handover in Heterogeneous Wireless Networks. Wirel Pers Commun 92(2):399---436
[38]
Saaty T.L. (1988) What is the Analytic Hierarchy Process?. In: Mitra G, Greenberg HJ, Lootsma FA, Rijkaert MJ, Zimmermann HJ (eds) Mathematical Models for Decision Support. NATO ASI Series (Series F: Computer and Systems Sciences), vol 48. Springer, Berlin, Heidelberg
[39]
Hwang CL, Yoon K (1981) Multiple attributes decision making methods and applications. Springer, Berlin
[40]
Kuo Y, Yang T, Huang G-W (2008) The use of grey relational analysis in solving multiple attribute decision-making problems. Comput Ind Eng 55(1):80---93
[41]
Wang Y, Yuan J, Zhou Y, Li G, Zhang P (2008) Vertical handover decision in an enhanced media independent handover framework. In IEEE Wireless Communications and Networking Conference (WCNC). IEEE, Las Vegas, pp 2693---2698
[42]
Ma VH, Simon D (2011) Blended biogeography-based optimization for constrained optimization. Engineering Applications of Artificial Intelligence, vol. 24, no. 3, pp. 517---525, 2011. Available: http://www.sciencedirect.com/science/article/pii/S0952197610001600
[43]
Mo H, Xu L (2010) Biogeography based optimization for traveling salesman problem. In IEEE Sixth International Conference on Natural Computation (ICNC). IEEE, Yantai, pp 3143---3147
[44]
Song Y, Liu M, Wang Z (2010) Biogeography-based optimization for the traveling salesman problems. In IEEE Third International Joint Conference on Computational Science and Optimization (CSO). IEEE, Huangshan, pp 295---299
[45]
Panchal VK, Singh P, Kaur N, Kundra H (2009) Biogeography based satellite image classification. International Journal of Computer Science and Information Security 6:269---274
[46]
Singh S, Mittal E (2013) Range based wireless sensor node localization using PSO and BBO and its variants. In IEEE International Conference on Communication Systems and Network Technologies (CSNT). IEEE, Gwailor, pp 309---315
[47]
Stevens-Navarro E, Lin Y, Wong VW (2008) An MDP-based vertical handoff decision algorithm for heterogeneous wireless networks. IEEE Trans Veh Technol 57(2):1243---1254
[48]
Guo C, Guo Z, Zhang Q, Zhu W (2004) A Seamless and Proactive Endto-End Mobility Solution for Roaming Across Heterogeneous Wireless Networks. IEEE J Sel Areas Commun 22(5):834---848
[49]
Ormond O, Murphy J, Muntean GM (2006) Utility-based intelligent network selection in beyond 3G systems. In IEEE International Conference on Communications (ICC). IEEE, Istanbul, pp 1831---1836
[50]
Navarro E, Wong W, Xia L (2006) Comparision between vertical handoff decision algorithms for heterogeneous wireless networks. IEEE Vehicular Technol Conf 2006:947---951
[51]
Ormond O, Perry P, Murphy J (2005) Network selection decision in wireless heterogeneous networks. Paper presented at the 2005 I.E. 16th International Symposium on Personal, Indoor and Mobile Radio Communications
[52]
Stevens-Navarro E, Wong VW (2006) Comparison between vertical handoff decision algorithms for heterogeneous wireless networks. In IEEE 63rd Vehicular technology conference (VTC 2006-Spring). IEEE, Melbourne, pp 947---951.
[53]
Ma H, Simon D, Fei M, Chen Z (2013) On the equivalences and differences of evolutionary algorithms. Eng Appl Artif Intell 26(10):2397---2407
[54]
Derrac J, Garcia S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1(1):3---18
[55]
Suganthan PN (2011) CEC11 Competition on testing evolutionary algorithms on real-world numerical optimization problems. Available: http://www3.ntu.edu.sg/home/EPNSugan/
[56]
Marquez-Barja JM, Ahmadi H, Tornell SM, Calafate CT, Cano JC, Manzoni P, DaSilva LA (2015) Breaking the vehicular wireless communications barriers: Vertical handover techniques for heterogeneous networks. IEEE Trans Veh Technol 64(12):5878---5890
- Intelligent Technique for Seamless Vertical Handover in Vehicular Networks
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Published: 01 December 2018
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