Abstract
The vehicular ad hoc networks (VANETs) have envisaged many researchers to work in this field as VANETs are capable of providing efficient data dissemination. The efficiency of the network can be increased by considering many such parameters which are typically not considered during the analysis of the network (like obstacles). In the proposed protocol, vehicles are considered as three-dimensional objects having significant size which further helps to find total area affected due to presence of obstacles. This paper is a motivation to increase the level of realism by considering all vehicles moving on road as a sizable object. A realistic model should consider impact of obstacles on vehicular communication. During modeling a system should have realistic mobility, channel selection and tolerable overhead. Our result shows that how the distance between vehicles badly affected system performance. We also show the importance of mobility, dissemination range and bandwidth in reducing the impact of obstacles in the real life scenarios.














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References
Dedicated Short Range Communications Project. http://www.leearmstrong.com/DSRC/DSRCHomeset.htm
Biswas, S., Tatchikou, R., & Dion, F. (2006). Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety. IEEE Communications Magazine, 44(1), 74–82.
Acosta, G., & Ingram, M. (2006). Model development for the wideband expressway vehicle-to-vehicle 2.4 GHz channel. Proceedings of IEEE Wireless Communications and Networking Conference, 3, 1283–1288.
Paier, A., Karedal, J., Czink, N., Hofstetter, H., Dumard, C., Zemen, T., … Mecklenbrauker, C. (2007). Car-to-car radio channel measurements at 5 GHz: Pathloss, power-delay profile, and delay-doppler spectrum. In Proceedings of 4th international symposium on wireless communication systems, pp. 224–228.
Martinez, F. J., Toh, C. K., Cano, J. -C., Calafate, C. T., & Manzoni, P. (2009). A survey and comparative study of simulators for vehicular ad hoc networks (VANETs). Wireless Communications and Mobile Computing.
Otto, J. S., Bustamante, F. E., & Berry, R. A. (2009). Down the block and around the corner—The impact of radio propagation on inter-vehicle wireless communication. In Proceedings of IEEE international conference on distributed computing systems (ICDCS).
Takahashi, S., Kato, A., Sato, K., & Fujise, M. (2003). Distance dependence of path loss for millimeter wave inter-vehicle communications. In Proceedings of IEEE 58th vehicular technology conference 1, pp. 26–30.
Tan, I. L., Tang, W., Laberteaux, K. P., & Bahai, A. (2008). Measurement and analysis of wireless channel impairments in DSRC vehicular communications. In ICC IEEE, pp. 4882–4888.
Nagel, R., & Eichler, S. (2008). Efficient and realistic mobility and channel modeling for VANET scenarios using OMNeT ++ and INET-framework. In 1st ACM/ICST international conference on simulation tools and techniques for communications, networks and systems (pp. 1–8). Marseille: ICST.
Meireles, R., Boban, M., Steenkiste, P., Tonguz, O., & Barros, J. (2010). Experimental study on the impact of vehicular obstructions. In VANETs, in IEEE vehicular networking conference, pp. 338–345.
Pecchia, E., Erman, D., & Popescu, A. (2009). Simulation and analysis of a combined mobility model with obstacles. In 2nd ACM/ICST international conference on simulation tools and techniques for communications, networks and systems (SIMUTools 2009), pp. 1–2.
Ahmed, S., Karmakar, G. C., & Kamruzzaman, J. (2010). An environment-aware mobility model for wireless ad hoc network. Elsevier Computer Networks, 54(9), 1470–1489.
Martinez, F. J., Fogue, M., & Coll, M. (2010). Assessing the impact of a realistic radio propagation model on VANET scenarios using real maps. In Ninth IEEE international symposium on network computing and applications, pp. 132–139.
Boban, M., Vinhoza, T. T. V., Ferreira, M., Barros, J., & Tonguz, O. K. (2011). Impact of vehicles as obstacles in vehicular ad hoc networks. IEEE Journal on Selected Areas in Communications, 29(1), 15–28.
Tang, T. Q., Huang, H. J., Wong, S. C., & Jiang, R. (2007). Lane changing analysis for two-lane traffic flow. Acta Mechanica Sinica, 23, 49–54.
Kurata, S., & Nagatani, T. (2003). Spatio-temporal dynamics of jams in two lane traffic flow with a blockage. Physica A: Statistical Mechanics and its Applications, 318, 537–550. http://www.sciencedirect.com/science/article/pii/S0378437102013766
Li-sheng, J., Wen-ping, F., Ying-nan, Z., Shuang-bin, Y., & Haijing, H. (2009). Research on safety lane change model of driver assistant system on highway (pp. 1051–1056). IEEE: In Intelligent Vehicles Symposium.
Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. In Proceedings of the ACM/IEEE international conference on mobile computing and networking (MobiCom).
Li, F., & Wang, Y. (2007). Routing in vehicular ad hoc networks: A survey. University of North Carolina, IEEE Vehicular Technology Magazine.
Blum, J., Eskandarian, A., & Hoffman, L. (2003). Mobility management in IVC networks. In IEEE intelligent vehicles symposium.
Sun, M., Feng, W., Lai, T.-H., Yamada, K., Okada, H., & Fujimura, K. (2000). GPS based message broadcasting for inter-vehicle communication. In ICPP’00: Proceedings of the 2000 international conference on parallel processing.
Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. In Proceedings of the ACM/IEEE international conference on mobile computing and networking (MobiCom).
Füßler, H., Mauve, M., Hartenstein, H., Kasemann, M., & Vollmer, D. (2003). Locationbased routing for vehicular ad-hoc networks. ACM SIGMOBILE Mobile Computing and Communications Review (MC2R), 7(1), 47–49.
Zhao J., & Cao, G. (2006). VADD: Vehicle-assisted data delivery in vehicular ad hoc networks. In InfoCom 2006.
Rustako, A. J., Amitay, N., Owens, G. J., & Roman, R. S. (1991). Radio propagation at microwave frequencies for line-of-sight microcellular mobile and personal communications. IEEE Transactions on Vehicular Technology, 40, 203–210.
Parker, R., & Valaee, S. (2007). Vehicular node localization using received signal- strength indicator. IEEE Transactions on Vehicular Technology, 56(6), 3371–3380.
Gezici, S., Kobayashi, H., & Poor, H. V. (2003). Nonparamteric nonline-of-sight identification. In Proceedings of IEEE 58th vehicular technology conference, VTC 2003-Fall, 4, pp. 2544–2548.
Yarkan, S., & Arslan, H. (2006). Identification of LOS and NLOS for wireless transmission. In Proceedings of cognitive radio oriented wireless networks and communications, pp. 1–5.
Decarli, N., Dardari, D., Gezici, S., D’Amico, A. A. (2010). LOS/NLOS detection for UWB signals: A comparative study using experimental data. In Proceedings of 5th international symposium on wireless pervasive computing, ISWPC, pp. 169–173.
Kaul, S., Ramachandran, K., Shankar, P., Oh, S., Gruteser, M., Seskar, I., & Nadeem, T. (2007) Effect of antenna placement and diversity on vehicular network communications. In Proceedings of IEEE SECON, pp. 112–121.
McCasland, W. T. (1965). Comparison of two techniques of aerial photography for application in freeway traffic operations studies. Photogrammetry and Aerial Surveys.
Tang, T. Q., Huang, H. J., Wong, S. C., & Jiang, R. (2007). Lane changing analysis for two-lane traffic flow. Acta Mechanica Sinica, 23, 49–54.
Li-sheng, J., Wen-ping, F., Ying-nan, Z., Shuang-bin, Y., & Haijing, H. (2009). Research on safety lane change model of driver assistant system on highway (pp. 1051–1056). IEEE: In Intelligent Vehicles Symposium.
Lewandowski, W., Azoubib, J., & Klepczynski, W. J. (1999). GPS: Primary tool for time transfer. Proceedings of IEEE, 87(1), 163–172.
IEEE Draft Standard for Wireless Access in Vehicular Environments (WAVE)—Multi-Channel Operation, IEEE Std. P1609.4/D9, August 2010.
Onguz, O. K., Wisitpongphan, N., Parikh, J. S., & Bai, F. (2006). On the broadcast storm problem in ad hoc wireless networks. In 3rd International conference on broadband communications, networks and systems, broadnets.
Davis, D., Fagg, A., Levine, B., & Wearable. (2001). Computers as packet transport mechanisms in highly-partitioned ad-hoc networks. In International symposium on wearable computing, p. 141.
Wischhof, L., Ebner, A., & Rohling, H. (2005). Information dissemination in self-organizing intervehicle networks. IEEE Transactions on Intelligent Transportation Systems, 6(1), 90–101.
Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.
Youssef, M., Ibrahim, M., Abdelatif, M., Chen, L., & Vasilakos, A. V. (2014). Routing metrics of cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 16(1), 92–109.
Spyropoulos, T., Rais, R. N. B., Turletti, T., Obraczka, K., & Vasilakos, A. V. (2010). Routing for disruption tolerant networks: taxonomy and design. Wireless Networks, 16(8), 2349–2370.
Cheng, H., Xiong, N., Vasilakos, A. V., Yang, L. T., Guolong, C., Zhuang, X. (2012). Nodes organization for channel assignment with topology preservation in multi-radio wireless mesh networks. Ad Hoc Networks, 10(5), 760–773.
Attar, A., Tang, Y. V., & Leung (2012). A survey of security challenges in cognitive radio networks: Solutions and future research directions. Proceedings of the IEEE, 100(12), 3172–3186.
Khan, M. A., Tembine, H., & Vasilakos, A. V. (2012). Game dynamics and cost of learning in heterogeneous 4G networks. IEEE Journal on Selected Areas in Communications, 30(1), 198–213.
Shen, Z. (2011). Peer-to-peer media streaming: Insights and new developments. Proceedings of the IEEE, 99(12), 2089–2109.
Demestichas, P. P., Stavroulaki, V. A. G., Papadopoulou, L. M. I., Vasilakos, A. V., & Theologou, M. E. (2004). Service configuration and traffic distribution in composite radio environments. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 34(1), 69–81.
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Dubey, B.B., Chauhan, N., Chand, N. et al. Analyzing and reducing impact of dynamic obstacles in vehicular ad-hoc networks. Wireless Netw 21, 1631–1645 (2015). https://doi.org/10.1007/s11276-014-0869-9
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DOI: https://doi.org/10.1007/s11276-014-0869-9