VANETs is a part of MANETs that lay hold of a few important responsibilities in the ITS domain because it offers consistent road safety. Several researchers’ deals with the growth on VANET for enhanced routing; however, it undergoes from the severe issue for offering multi-constrained QoS to the network. Then the next solution over this issue, routing cost is solved by in view of the cost of congestion, cost of QoS awareness cost, cost of travel, and cost of collision, while the fuzzification is exploited to estimate the QoS awareness cost. In this paper, an Improved Grey wolf optimization (GSO) and Cuckoo Search (CS) algorithm are exploited in the VANET to take on the decreased routing cost. Additionally, the performance of the proposed Improved GWO-CS method is compared with the conventional methods such as GWO and CS by analyzing the cost of routing, and computational complexity. Hence, the proposed method offers consistent routing with minimized cost and computational complexity.
Guiyang Luo , Quan Yuan , Haibo Zhou , Nan Cheng , Zhihan Liu , Fangchun Yang , Xuemin Sherman Shen, "Cooperative vehicular content distribution in edge computing assisted 5G-VANET," in China Communications, vol. 15, no. 7, pp. 1-17, July 2018.
H. Seliem, R. Shahidi, M. H. Ahmed and M. S. Shehata, "Drone-Based Highway-VANET and DAS Service," IEEE Access, vol. 6, pp. 20125-20137, 2018.
H. Seliem, R. Shahidi, M. H. Ahmed and M. S. Shehata, "Probability Distribution of the Re-Healing Delay in a One-Way Highway VANET," IEEE Communications Letters, vol. 22, no. 10, pp. 2056-2059, Oct. 2018.
S. Cao and V. C. S. Lee, "A Novel Adaptive TDMA-Based MAC Protocol for VANETs," IEEE Communications Letters, vol. 22, no. 3, pp. 614-617, March 2018.
Y. Xia, X. Qin, B. Liu and P. Zhang, "A greedy traffic light and queue aware routing protocol for urban VANETs," in China Communications, vol. 15, no. 7, pp. 77-87, July 2018.
Jorge Pereira, Leandro Ricardo, Miguel Luís, Carlos Senna, Susana Sargento, "Assessing the reliability of fog computing for smart mobility applications in VANETs", Future Generation Computer Systems, vol. 94, pp. 317- 332, May 2019.
Hong Zhong, Shunshun Han, Jie Cui, Jing Zhang, Yan Xu,"Privacy-preserving authentication scheme with full aggregation in VANET", Information Sciences, vol. 476, pp. 211-221, February 2019.
Debasis Das, Rajiv Misra,"Improvised dynamic network connectivity model for Vehicular Ad-Hoc Networks (VANETs)", Journal of Network and Computer Applications, vol. 122, pp. 107-114, 15 November 2018.
S. Bitam, A. Mellouk, S. Zeadally, Bio-inspired routing algorithms survey for vehicular ad hoc networks, IEEE Commun. Surv. Tutor. 17 (2) (2015) 843–867.
S. Zeadally, R. Hunt, Y.-S. Chen, A. Irwin, A. Hassan, Vehicular ad hoc networks (VANETs): status, results, and challenges, Telecommun. Syst. 50 (4) (2012) 217–241.
T. Kohonen, Self-organization and Associative Memory, Springer-Verlag, Berlin, Germany, 1984.
A.L. Beylot, H. Labiod, CONVOY: a new cluster-based routing protocol for vehicular networks, in: Vehicular Networks: Models and Algorithms, first ed., John Wiley & Sons, London, UK, 2013, pp. 91–139 (Chapter 3).
L.J. Fogel, A.J. Owens, M.J. Walsh, Artificial Intelligence through Simulated Evolution, Wiley Publishing, New York, 1966.
F. Bai, H. Krishnan, V. Sadekar, G. Holland, T. ElBatt, Towards characterizing and classifying communicationbased automotive applications from a wireless networking perspective, Proc. AutoNet, San Francisco, CA, USA, 2006.
C. Wu, S. Ohzahata, T. Kato, Flexible, portable, and practicable solution for routing in VANETs: a fuzzy constraint Q-learning approach, IEEE Trans. Veh. Technol. 62 (9) (2013) 4251–4263.
Kaiping Luo, "Enhanced grey wolf optimizer with a model for dynamically estimating the location of the prey", Applied Soft Computing, vol. 77, pp. 225-235, April 2019.
M. Mareli, B. Twala,"An adaptive Cuckoo search algorithm for optimisation", Applied Computing and Informatics, vol. 14, no. 2, pp. 107-115,July 2018.
Vijayakumar Polepally, K Shahu Chatrapati,"DEGSA-VMM: Dragonfly-based exponential gravitational search algorithm to VMM strategy for load balancing in cloud computing";Kybernetes, vol.67, no.6;pp.1138-1157;2018.
SB Vinay Kumar, PV Rao, Manoj Kumar Singh,"Multi-culture diversity based self adaptive particle swarm optimization for optimal floorplanning",Multiagent and Grid Systems, vol14, no.1, pp.31-65, 2018.
G Singh, VK Jain, A Singh, "Adaptive network architecture and firefly algorithm for biogas heating model aided by photovoltaic thermal greenhouse system",Energy & Environment, vol. 29 (7), pp.1073-1097,2018.
A Shankar, J Natarajan,"Base Station Positioning in Wireless Sensor Network to aid Cluster Head Selection Process", International Journal of Intelligent Engineering and Systems", vol. 10, no.(2), pp.173-182, 2017.
RM Chintalapalli, VR Ananthula,"M-LionWhale: multi-objective optimisation model for secure routing in mobile ad-hoc network",IET Communications,vol. 12, no.(12), pp.1406-1415,2018.
MNKMSS Dr. N. Krishnamoorthy,"Performance Evaluation of Optimization Algorithm Using Scheduling Concept in Grid Environment", The IIOAB Journal, vol. 7 no.9, pp. 315-323, 2016.
Buy article PDF