Chandrakant Navdeti
ABSTRACT
Major problem of IEEE 802.11 based Vehicular Ad-hoc Network (VANET) is traffic congestion. The traffic congestion occurs due to unnecessary bandwidth usages, high vehicle density, excess increase in transmission power and immediate topology changes in a vehicular ad-hoc network which leads to excessive packet loss and lowers the safety of the applications. Under such conditions, all the transmitted packets from the source may not be delivered to the destination. Vehicles unaware of the traffic congestion increase the difficulty of it by eventually joining it. Many congestion control techniques have been proposed, but still, the problem arises. In this paper, we propose Distributed α-Fair Transmit Power Adaptation Based Congestion Control in Vehicular Ad-hoc Network to discover and reduce traffic congestion using the transmit power control and optimum node selection for cooperative VANET in the framework of the utility function optimization. The proposed system has better performance as compared to DFAV, DV-CAST, and UV-CAST regarding packet reception probability, average packet delivery ratio, and average end-to-end packet delivery delay in Vehicular Ad-hoc Network (VANET).
- Ns2 simulator. http://www.isi.edu/nsnam/ns/.Google Scholar
- D. Bertsimas, V. F. Farias, and N. Trichakis. On the efficiency-fairness trade-off. Management Science, 58(12):2234--2250, 2012. Google ScholarDigital Library
- S. K. Bhoi and P. M. Khilar. Vehicular communication: a survey. IET Networks, 3(3):204--217, September 2014.Google ScholarDigital Library
- T. Bonald and J. Roberts. Multi-resource fairness: Objectives, algorithms and performance. SIGMETRICS Perform. Eval. Rev., 43(1):31--42, June 2015. Google ScholarDigital Library
- S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, New York, NY, USA, 2004. Google ScholarCross Ref
- F. Cunha, L. Villas, A. Boukerche, G. Maia, A. Viana, R. A. Mini, and A. A. Loureiro. Data Communication in VANETs. Ad Hoc Netw., 44(C):90--103, July 2016. Google ScholarDigital Library
- A. Ghodsi, M. Zaharia, B. Hindman, A. Konwinski, S. Shenker, and I. Stoica. Dominant resource fairness: Fair allocation of multiple resource types. In Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation, NSDI'11, pages 323--336, Berkeley, CA, USA, 2011. USENIX Association. Google ScholarDigital Library
- S. Im, J. Kulkarni, and K. Munagala. Competitive algorithms from competitive equilibria: Non-clairvoyant scheduling under polyhedral constraints. Journal of the ACM (JACM), 65(1):3, 2017. Google ScholarDigital Library
- C. Joe-Wong, S. Sen, T. Lan, and M. Chiang. Multire-source allocation: Fairness-efficiency tradeoffs in a unifying framework. IEEE/ACM Transactions on Networking (TON), 21(6):1785--1798, 2013. Google ScholarDigital Library
- G. K. Karagiannidis, D. A. Zogas, and S. A. Kotsopoulos. On the multivariate Nakagami-m distribution with exponential correlation. IEEE Transactions on Communications, 51(8):1240--1244, 2003.Google ScholarCross Ref
- J. B. Kenney. Dedicated Short-Range Communications (DSRC) Standards in the United States. Proceedings of the IEEE, 99(7):1162--1182, July 2011.Google ScholarCross Ref
- T. Lan, D. Kao, M. Chiang, and A. Sabharwal. An Axiomatic Theory of Fairness in Network Resource Allocation. In 2010 Proceedings IEEE INFOCOM, pages 1--9, March 2010. Google ScholarDigital Library
- S. H. Low, F. Paganini, and J. C. Doyle. Internet congestion control. IEEE Control Systems Magazine, 22(1):28--43, Feb 2002.Google ScholarCross Ref
- X. Ma, X. Yin, M. Wilson, and K. S. Trivedi. MAC and application-level broadcast reliability in vanets with channel fading. In 2013 International Conference on Computing, Networking and Communications (ICNC), pages 756--761, Jan 2013. Google ScholarDigital Library
- B. McCormick, F. Kelly, P. Plante, P. Gunning, and P. Ashwood-Smith. Real time alpha-fairness based traffic engineering. In Proceedings of the third workshop on Hot topics in software defined networking, pages 199--200. ACM, 2014. Google ScholarDigital Library
- J. Mittag. Characterization, Avoidance and Repair of Packet Collisions in Inter-Vehicle Communication Networks. KIT Scientific Publishing, 2012.Google Scholar
- M. NAKAGAMI. The m-distribution - a general formula of intensity distribution of rapid fading. In W. HOFFMAN, editor, Statistical Methods in Radio Wave Propagation, pages 3 -- 36. Pergamon, 1960.Google Scholar
- M. Sepulcre, J. Mittag, P. Santi, H. Hartenstein, and J. Gozalvez. Congestion and Awareness Control in Cooperative Vehicular Systems. Proceedings of the IEEE, 99(7):1260--1279, July 2011.Google Scholar
- J. A. Shaw. Radiometry and the Friis transmission equation. American Journal of Physics, 81(1):33--37, 2013.Google ScholarCross Ref
- C. Sommer, D. Eckhoff, R. German, and F. Dressler. A computationally inexpensive empirical model of IEEE 802.11 p radio shadowing in urban environments. In Wireless On-Demand Network Systems and Services (WONS), 2011 Eighth International Conference on, pages 84--90. IEEE, 2011.Google ScholarCross Ref
- O. K. Tonguz, N. Wisitpongphan, and F. Bai. DV-CAST: A distributed vehicular broadcast protocol for vehicular ad hoc networks. IEEE Wireless Communications, 17(2):47--57, April 2010. Google ScholarDigital Library
- M. Torrent-Moreno, P. Santi, and H. Hartenstein. Distributed fair transmit power adjustment for vehicular ad hoc networks. In 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, volume 2, pages 479--488, Sept 2006.Google ScholarCross Ref
- W. Viriyasitavat, F. Bai, and O. K. Tonguz. Uv-cast: An urban vehicular broadcast protocol. In 2010 IEEE Vehicular Networking Conference, pages 25--32, Dec 2010.Google ScholarCross Ref
- W. Xiang, D. Shan, J. Yuan, and S. Addepalli. A full functional wireless access for vehicular environments (wave) prototype upon the ieee 802.11p standard for vehicular communications and networks. In 2012 IEEE Consumer Communications and Networking Conference (CCNC), pages 58--59, Jan 2012.Google ScholarCross Ref
- Y. Yi and M. Chiang. Stochastic network utility maximisation - a tribute to kelly's paper published in this journal a decade ago. European Transactions on Telecommunications, 19(4):421--442, 2008.Google ScholarCross Ref
- S. Zeadally, R. Hunt, Y.-S. Chen, A. Irwin, and A. Hassan. Vehicular ad hoc networks (vanets): status, results, and challenges. Telecommunication Systems, 50(4):217--241, 2012. Google ScholarDigital Library
Index Terms
- Distributed α-fair transmit power adaptation based congestion control in VANET
Recommendations
Mitigation and Performance Analysis of Routing Protocols Under Black-Hole Attack in Vehicular Ad-hoc Network (VANET)
Vehicular Ad-hoc network (VANET) is a self-organized ad hoc network. VANET becomes a most challenging research area as it has several issues related to routing protocols, quality of service, security, etc. Vehicular communication is critically unsafe to ...
Irresponsible AODV routing
Broadcasting is a common transmission strategy used by several ad-hoc routing protocols in order to solve many issues, such as finding a route to a new host or sending control messages to all nodes in the network. Flooding is the simplest technique to ...
An enhanced MPR-based solution for flooding of broadcast messages in OLSR wireless ad hoc networks
In an Optimized Link State Routing (OLSR)-based mobile wireless network, optimizing the flooding of broadcast messages is a challenging task due to node's mobility and bandwidth resource consumption. To complement existing solutions to this problem, the ...
Comments