International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.9, No.11, Nov. 2017
A Reliable Solution to Load Balancing with Trust Based Authentication Enhanced by Virtual Machines
Full Text (PDF, 449KB), PP.64-71
Vehicular Ad hoc network is the most fast growing which shape fresh engineering opportunities like controlling traffic smartly, optimal resource maintenance and improved service for customers. Vehicular Ad hoc Network (VANET) is one of the most popular ad hoc networks. A vehicular ad hoc network generally faces the problems like trust modeling, congestion, and battery optimization issues. If the nodes are comparatively less than it can handle the traffic well when it comes to transferring the data at a rapid rate. But, when it comes to high-density traffic than a Vehicular network always faces congestion problem. This paper tried to find the reliable solution to the traffic management by adding up the virtual gears into the network and optimizes the congestion problem by using a trust queue which is updated with the broadcast concept of the hello packets in order to remove the unwanted nodes in the list. The network performance has been measured with QOS Parameters like delay, throughput, and other parameters to prove the authentication of the research.
Cite This Paper
Rakhi, G.L.Pahuja, "A Reliable Solution to Load Balancing with Trust Based Authentication Enhanced by Virtual Machines", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.11, pp.64-71, 2017. DOI: 10.5815/ijitcs.2017.11.07
D. Das and S. Das, “Adaptive resource allocation scheme for cognitive radio vehicular Ad hoc network in the presence of primary user emulation attack”, IET Networks, vol. 6, no. 1, pp. 5-13, 2017.
X. Zhang, L. Yan and W. Li, “Efficient and Reliable Abiding Geocast Based on Carrier Sets for Vehicular Ad Hoc Networks”, IEEE Wireless Communications Letters, vol. 5, no. 6, pp. 660-663, 2016.
Y. Wang, J. Zheng and N. Mitton, “Delivery Delay Analysis for Roadside Unit Deployment in Vehicular Ad Hoc Networks With Intermittent Connectivity”, IEEE Transactions on Vehicular Technology, vol. 65, no. 10, pp. 8591-8602, 2016.
L. Zhu, C. Li, B. Li, X. Wang and G. Mao, “Geographic Routing in Multilevel Scenarios of Vehicular Ad Hoc Networks”, IEEE Transactions on Vehicular Technology, vol. 65, no. 9, pp. 7740-7753, 2016.
Y. Kim, M. Lee and T. J. Lee, “Coordinated Multichannel MAC Protocol for Vehicular Ad Hoc Networks”,IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6508-6517, 2016.
J. Contreras-Castillo, S. Zeadally and J. A. Guerrero Ibañez, “Solving vehicular ad hoc network challenges with Big Data solutions”, IET Networks, vol. 5, no. 4, pp. 81-84, 2016.
X. M. Zhang, K. H. Chen, X. L. Cao and D. K. Sung, “A Street-Centric Routing Protocol Based on Microtopology in Vehicular Ad Hoc Networks”, IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5680-5694, 2016.
Y. Bi, H. Shan, X. S. Shen, N. Wang and H. Zhao, “A Multi-Hop Broadcast Protocol for Emergency Message Dissemination in Urban Vehicular Ad Hoc Networks”, IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 3, pp. 736-750, 2016.
M. HashemEiza, T. Owens, Q. Ni and Q. Shi, “Situation-Aware QoS Routing Algorithm for Vehicular Ad Hoc Networks”, IEEE Transactions on Vehicular Technology, vol. 64, no. 12, pp. 5520-5535, 2015.
S. F. Tzeng, S. J. Horng, T. Li, X. Wang, P. H. Huang and M. K. Khan, “Enhancing Security and Privacy for Identity-Based Batch Verification Scheme in VANETs”, IEEE Transactions on Vehicular Technology, vol. 66, no. 4, pp. 3235-3248, 2017.
Q. Yang, S. Xing, W. Xia and L. Shen, “Modelling and performance analysis of dynamic contention window scheme for periodic broadcast in vehicular ad hoc networks”, IET Communications, vol. 9, no. 11, pp. 1347-1354, 7 23 2015.
H. Hu, R. Lu, Z. Zhang and J. Shao, “REPLACE: A Reliable Trust-Based Platoon Service Recommendation Scheme in VANET”, IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp. 1786-1797, 2017.
Anton Beloglazov, Jema lAbawajy, and RajkumarBuyya, “Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing”, Future generation computer systems, vol. 28, no. 5, pp.755-768, 2012.
ShaminderKaur, and AmandeepVerma, “An efficient approach to genetic algorithm for task scheduling in cloud computing environment”, International Journal of Information Technologyand Computer Science (IJITCS), vol. 4, no. 10, pp.74, 2012.
ManishaVerma, NeelamBhardwaj, and Arun Kumar Yadav, “Real Time Efficient Scheduling Algorithm for Load Balancing in Fog Computing Environment”, International Journal of Information Technology and Computer Science (IJITCS), vol. 8, no. 4,pp. 1,2016.