Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO)

Springer Science and Business Media LLC - Tập 74 Số 9 - Trang 4542-4567 - 2018
Farhan Aadil1, Waleed Ahsan1, Zahoor Ur Rehman1, Peer Azmat Shah1, Seungmin Rho2, Irfan Mehmood3
1Department of Computer Science, COMSATS Institute of Information Technology, Attock, Pakistan
2Department of Media Software, Sungkyul University, Anyang, Korea
3Department of Software, Sejong University, Seoul, Korea

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Taherkhani N, Pierre S (2016) Centralized and localized data congestion control strategy for vehicular ad hoc networks using a machine learning clustering algorithm. IEEE Trans Intell Transp Syst 17:3275–3285

Ucar S, Ergen SC, Ozkasap O (2016) Multihop-cluster-based IEEE 802.11 p and LTE hybrid architecture for VANET safety message dissemination. IEEE Trans Veh Technol 65:2621–2636

Chen M, Zhang Y, Hu L, Taleb T, Sheng Z (2015) Cloud-based wireless network: virtualized, reconfigurable, smart wireless network to enable 5G technologies. Mobile Networks and Applications 20:704–712

Li G, Boukhatem L, Wu J (2017) Adaptive quality-of-service-based routing for vehicular ad hoc networks with ant colony optimization. IEEE Trans Veh Technol 66:3249–3264

Barnett AH, Betcke T (2008) Stability and convergence of the method of fundamental solutions for Helmholtz problems on analytic domains. J Comput Phys 227:7003–7026

Woeginger GJ (2003) Exact algorithms for NP-hard problems: a survey. Lect Notes Comput Sci 2570:185–207

Chiti F, Fantacci R, Dei E, Han Z (2015) Context aware clustering in VANETs: a game theoretic perspective. In: 2015 IEEE International Conference on Communications (ICC), pp 6584–6588

Chen A-L, Yang G-K, Wu Z-M (2006) Hybrid discrete particle swarm optimization algorithm for capacitated vehicle routing problem. Journal of Zhejiang University-Science A 7:607–614

Martinez FJ, Toh C-K, Cano J-C, Calafate CT, Manzoni P (2010) Emergency services in future intelligent transportation systems based on vehicular communication networks. IEEE Intell Transp Syst Mag 2:6–20

Toor Y, Muhlethaler P, Laouiti A (2008) Vehicle ad hoc networks: applications and related technical issues. IEEE Commun Surv Tutor 10(3):74–88. https://doi.org/10.1109/COMST.2008.4625806

Eichberger A, Markovic G, Magosi Z, Rogic B, Lex C, Samiee S (2017) A Car2X sensor model for virtual development of automated driving. Int J Adv Rob Syst 14:1729881417725625

Jeong S, Baek Y, Son SH (2016) A hybrid V2X system for safety-critical applications in VANET. In: 2016 IEEE 4th International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), pp 13–18

Kenney JB (2011) Dedicated short-range communications (DSRC) standards in the United States. Proc IEEE 99:1162–1182

Karagiannis G, Altintas O, Ekici E, Heijenk G, Jarupan B, Lin K et al (2011) Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE communications surveys & tutorials 13:584–616

Mohammed MN, Hammood OA (2017) Hybrid LTE-VANETs based optimal radio access selection. In: Recent Trends in Information and Communication Technology: Proceedings of the 2nd International Conference of Reliable Information and Communication Technology (IRICT 2017), p 189

Basu P, Khan N, Little TD (2001) A mobility based metric for clustering in mobile ad hoc networks. In: 2001 International Conference on Distributed Computing Systems Workshop, pp 413–418

Chen Y, Fang M, Shi S, Guo W, Zheng X (2015) Distributed multi-hop clustering algorithm for VANETs based on neighborhood follow. Eurasip journal on Wireless communications and networking 2015:98

Ramakrishnan B, Selvi M, Nishanth RB, Joe MM (2017) An emergency message broadcasting technique using transmission power based clustering algorithm for vehicular ad hoc network. Wireless Pers Commun 94:3197–3216

Perkins C, Belding-Royer E, Das S (2003) Ad hoc on-demand distance vector (AODV) routing (No. RFC 3561)

Aloise D, Deshpande A, Hansen P, Popat P (2009) NP-hardness of Euclidean sum-of-squares clustering. Mach Learn 75:245–248

Sahoo A, Swain SK, Pattanayak BK, Mohanty MN (2016) An optimized cluster based routing technique in VANET for next generation network. In: Satapathy SC, Mandal JK, Udgata SK, Bhateja V (eds) Information systems design and intelligent applications. Springer, New Delhi, pp 667–675

Aadil F, Bajwa KB, Khan S, Chaudary NM, Akram A (2016) CACONET: ant colony optimization (ACO) based clustering algorithm for VANET. PLoS ONE 11:e0154080

Hernafi Y, Ahmed MB, Bouhorma M (2017) ACO and PSO algorithms for developing a new communication model for VANET applications in smart cities. Wireless Pers Commun 96:2039–2075

Fahad M, Aadil F, Khan S, Shah PA, Muhammad K, Lloret J et al (2018) Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Comput Electr Eng. https://doi.org/10.1016/j.compeleceng.2018.01.002

Abbasi AA, Younis M (2007) A survey on clustering algorithms for wireless sensor networks. Comput Commun 30:2826–2841

Rawashdeh ZY, Mahmud SM (2012) A novel algorithm to form stable clusters in vehicular ad hoc networks on highways. EURASIP Journal on Wireless Communications and Networking 2012:15

Chatterjee M, Das SK, Turgut D (2002) WCA: a weighted clustering algorithm for mobile ad hoc networks. Cluster computing 5:193–204

Daeinabi A, Rahbar AGP, Khademzadeh A (2011) VWCA: an efficient clustering algorithm in vehicular ad hoc networks. Journal of Network and Computer Applications 34:207–222

Gerla M, Tsai JT-C (1995) Multicluster, mobile, multimedia radio network. Wireless Netw 1:255–265

Shahzad W, Khan FA, Siddiqui AB (2009) Clustering in mobile ad hoc networks using comprehensive learning particle swarm optimization (CLPSO). In: Ślęzak D, Kim T-h, Chang AC, Vasilakos T, Li M, Sakurai K (eds) Communication and networking. Springer, Heidelberg, pp 342–349

Hafeez KA, Zhao L, Mark JW, Shen X, Niu Z (2013) Distributed multichannel and mobility-aware cluster-based MAC protocol for vehicular ad hoc networks. IEEE Trans Veh Technol 62:3886–3902

Souza E, Nikolaidis I, Gburzynski P (2010) A new aggregate local mobility (ALM) clustering algorithm for VANETs. In: 2010 IEEE International Conference on Communications (ICC), pp 1–5

Ram A, Mishra MK (2017) Mobility adaptive density connected clustering approach in vehicular ad hoc networks. International Journal of Communication Networks and Information Security 9:222

Bali RS, Kumar N, Rodrigues JJ (2017) An efficient energy aware predictive clustering approach for vehicular ad hoc networks. Int J Commun Syst 30(2)

Fangchun Y, Shangguang W, Jinglin L, Zhihan L, Qibo S (2014) An overview of internet of vehicles. China Communications 11:1–15

Dharanyadevi P, Venkatalakshmi K (2016) Proficient routing by adroit algorithm in 5G-Cloud-VMesh network. EURASIP Journal on Wireless Communications and Networking 2016:89

Mumtaz S, Huq KMS, Ashraf MI, Rodriguez J, Monteiro V, Politis C (2015) Cognitive vehicular communication for 5G. IEEE Commun Mag 53:109–117

Liu J, Wan J, Jia D, Zeng B, Li D, Hsu C-H et al (2017) High-efficiency urban traffic management in context-aware computing and 5G communication. IEEE Commun Mag 55:34–40

Chowdhary N, Kaur PD (2018) Dynamic route optimization using nature-inspired algorithms in IoV. In: Proceedings of First International Conference on Smart System, Innovations and Computing, pp 495–504

He Z, Zhang D, Liang J (2016) Cost-efficient sensory data transmission in heterogeneous software-defined vehicular networks. IEEE Sens J 16:7342–7354

Dua A, Kumar N, Bawa S (2015) QoS-aware data dissemination for dense urban regions in vehicular ad hoc networks. Mobile Networks and Applications 20:773–780

Kalambe K, Deshmukh A, Dorle S (2015) Particle swarm optimization based routing protocol for vehicular ad hoc network. Int. J. Eng. Res. General Sci. 3:1375–1382

Jacobson V, Smetters DK, Thornton JD, Plass MF, Briggs NH, Braynard RL (2009) Networking named content. In: Proceedings of the 5th International Conference on Emerging Networking Experiments and Technologies, pp 1–12

Li Z, Chen Y, Liu D, Li X (2017) Performance analysis for an enhanced architecture of IoV via content-centric networking. EURASIP Journal on Wireless Communications and Networking 2017:124

Zhang X, Zhang X (2017) A binary artificial bee colony algorithm for constructing spanning trees in vehicular ad hoc networks. Ad Hoc Netw 58:198–204

Hofmeyr SA, Forrest S (2000) Architecture for an artificial immune system. Evol Comput 8(4):443–473

Gupta A, Kumar P, Sahoo R, Sahu A, Sarangi S (2017) Performance measurement of plate fin heat exchanger by exploration: ANN, ANFIS, GA, and SA. Journal of Computational Design and Engineering 4:60–68

Gravel M, Price WL, Gagné C (2002) Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic. Eur J Oper Res 143:218–229

Mirjalili S (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27:1053–1073

Iwai N, Akasaka M, Kadoya T, Ishida S, Aoki T, Higuchi S, Takamura N (2017) Examination of the link between life stages uncovered the mechanisms by which habitat characteristics affect odonates. Ecosphere 8(9):e01930. https://doi.org/10.1002/ecs2.1930

Chiti F, Fantacci R, Giuli D, Paganelli F, Rigazzi G (2017) Communications protocol design for 5G vehicular networks. In: Xiang W, Z Kan, Shen X (eds) 5G mobile communications. Springer, Cham, pp 625–649

Cunha F, Villas L, Boukerche A, Maia G, Viana A, Mini RA et al (2016) Data communication in VANETs: protocols, applications and challenges. Ad Hoc Netw 44:90–103

Yang C, Li J, Guizani M, Anpalagan A, Elkashlan M (2016) Advanced spectrum sharing in 5G cognitive heterogeneous networks. IEEE Wirel Commun 23:94–101

Asadi A, Mancuso V (2017) Network-assisted outband D2D-clustering in 5G cellular networks: theory and practice. IEEE Trans Mob Comput 16:2246–2259

Hadded M, Zagrouba R, Laouiti A, Muhlethaler P, Saidane LA (2015) A multi-objective genetic algorithm-based adaptive weighted clustering protocol in vanet. In: 2015 IEEE Congress on Evolutionary Computation (CEC), pp 994–1002

Liang JJ, Qin AK, Suganthan PN, Baskar S (2006) Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans Evol Comput 10:281–295

Talbi E-G (2009) Metaheuristics: from design to implementation, vol 74. Wiley, Hoboken

Yang X-S (2010) Nature-inspired metaheuristic algorithms. Luniver Press, Frome