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Published in: Wireless Personal Communications 3/2014

01-12-2014

Mobility Models and their Affect on Data Aggregation and Dissemination in Vehicular Networks

Authors: Rakesh Kumar, Mayank Dave

Published in: Wireless Personal Communications | Issue 3/2014

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Abstract

Vehicular networks have been continuously attracting the attention from both academia and research industries. One of the most important challenges faced by the vehicular network is the definition of a generic mobility model providing accurate and realistic mobility description. However, due to the availability of large number of mobility models, it is hard to realize incomparable features, real capabilities and understanding the true degree of realism with respect to vehicular mobility. As all the vehicles in vehicular networks are sharing a limited network bandwidth, data aggregation (combining correlated data items from different vehicles) and data dissemination (distributing the data to other vehicles or roadside units) save the network bandwidth and, allows more vehicular applications to co-exist. Many papers exist in the literature that either discuss mobility models, data aggregation, data dissemination or propose a new mobility model, data aggregation scheme, data dissemination scheme. However, the performance of data aggregation and dissemination schemes varies with the change in mobility model. Therefore in performance studies of vehicular networks, investigating the influence of mobility models on the data aggregation and dissemination plays a major role. In this paper, we first describe the different levels of mobility and various factors affecting the mobility patterns. Then, we discuss the performance metrics for analyzing the performance of various algorithms in vehicular networks. Subsequently, we illustrate the different categories of mobility models with the description of each. Finally, we propose an overview and taxonomy of several mobility models available for vehicular networks with simulation. The objective is to provide readers with a guideline to easily understand the impact of mobility models on data aggregation and dissemination and, allows them to choose the best mobility model required for the application.

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Literature
1.
go back to reference Coronato, A., Pietro, G. D., Park, J., & Chao, H. (2010). A framework for engineering pervasive applications applied to intra-vehicular sensor network applications. Mobile Networks and Applications, 15, 137–147.CrossRef Coronato, A., Pietro, G. D., Park, J., & Chao, H. (2010). A framework for engineering pervasive applications applied to intra-vehicular sensor network applications. Mobile Networks and Applications, 15, 137–147.CrossRef
2.
go back to reference Choffnes, D. R., & Bustamante, F. E. (2005). An integrated mobility and traffic model for vehicular wireless networks. In Proceedings of 2nd ACM international workshop on vehicular ad hoc networks, New York, USA, pp. 69–78. Choffnes, D. R., & Bustamante, F. E. (2005). An integrated mobility and traffic model for vehicular wireless networks. In Proceedings of 2nd ACM international workshop on vehicular ad hoc networks, New York, USA, pp. 69–78.
3.
go back to reference Abboud, K., & Zhuang, W. (2014). Stochastic analysis of a single-hop communication link in vehicular ad hoc networks. IEEE Transactions on Intelligent Transportation Systems, pp. 1–11. doi:10.1109/TITS.2014.2314453. Abboud, K., & Zhuang, W. (2014). Stochastic analysis of a single-hop communication link in vehicular ad hoc networks. IEEE Transactions on Intelligent Transportation Systems, pp. 1–11. doi:10.​1109/​TITS.​2014.​2314453.
4.
go back to reference Ait Ali, K., Baala, O., & Caminada, A. (2014). On the spatio-temporal traffic variation in vehicles mobility modeling. IEEE Transactions on Vehicular Technology, pp. 1–15. doi:10.1109/TVT.2014.2323182. Ait Ali, K., Baala, O., & Caminada, A. (2014). On the spatio-temporal traffic variation in vehicles mobility modeling. IEEE Transactions on Vehicular Technology, pp. 1–15. doi:10.​1109/​TVT.​2014.​2323182.
5.
go back to reference Liu, F., Zheng, K., Xiang, W., & Zhao, H. (2014). Design and performance analysis of an energy-efficient uplink carrier aggregation scheme. IEEE Journal on Selected Areas in Communications, 32(2), 197–207.CrossRef Liu, F., Zheng, K., Xiang, W., & Zhao, H. (2014). Design and performance analysis of an energy-efficient uplink carrier aggregation scheme. IEEE Journal on Selected Areas in Communications, 32(2), 197–207.CrossRef
6.
go back to reference Kumar, R., & Dave, M. (2013). A framework for handling local broadcast storm using probabilistic data aggregation in VANET. Wireless Personal Communications, 72(1), 315–341.CrossRef Kumar, R., & Dave, M. (2013). A framework for handling local broadcast storm using probabilistic data aggregation in VANET. Wireless Personal Communications, 72(1), 315–341.CrossRef
7.
go back to reference Nadeem, T., Dashtinezhad, S., Liao, C., & Iftode, L. (2004). TrafficView: Traffic data dissemination using car-to-car communication. ACM SIGMOBILE Mobile Computing and Communication Review, 8(3), 6–19.CrossRef Nadeem, T., Dashtinezhad, S., Liao, C., & Iftode, L. (2004). TrafficView: Traffic data dissemination using car-to-car communication. ACM SIGMOBILE Mobile Computing and Communication Review, 8(3), 6–19.CrossRef
8.
go back to reference Kakkasageri, M. S., & Manvi, S. S. (2011). Intelligent information dissemination in vehicular ad hoc networks. International Journal of Ad Hoc, Sensor & Ubiquitous Computing (IJASUC), 2(1), 112–123.CrossRef Kakkasageri, M. S., & Manvi, S. S. (2011). Intelligent information dissemination in vehicular ad hoc networks. International Journal of Ad Hoc, Sensor & Ubiquitous Computing (IJASUC), 2(1), 112–123.CrossRef
9.
go back to reference Grilli, G. (2010). Data dissemination in vehicular networks, Ph.D. Thesis, Department of Computer Science, University of Rome, Tor Vergata. Grilli, G. (2010). Data dissemination in vehicular networks, Ph.D. Thesis, Department of Computer Science, University of Rome, Tor Vergata.
10.
go back to reference Rybicki, J., Scheuermann, B., Koegel, M., & Mauve, M. (2009). PeerTIS: A peer-to-peer traffic information system. In Proceedings of 6th ACM international workshop on vehicular internet working (VANET), pp. 23–32. Rybicki, J., Scheuermann, B., Koegel, M., & Mauve, M. (2009). PeerTIS: A peer-to-peer traffic information system. In Proceedings of 6th ACM international workshop on vehicular internet working (VANET), pp. 23–32.
11.
go back to reference Ibrahim, K., & Weigle, M. C. (2008). CASCADE: Cluster-based accurate syntactic compression of aggregated data in VANETs. In Proceedings of IEEE Globecom Workshops, pp. 1–10. Ibrahim, K., & Weigle, M. C. (2008). CASCADE: Cluster-based accurate syntactic compression of aggregated data in VANETs. In Proceedings of IEEE Globecom Workshops, pp. 1–10.
12.
go back to reference Wischhof, L., Ebner, A., Rohling, H., Lott, M., & Halfmann, R. (2003). SOTIS-a self-organizing traffic information system. In Proceedings of 57th IEEE vehicular technology conference (VTC), vol. 4, pp. 2442–2446. Wischhof, L., Ebner, A., Rohling, H., Lott, M., & Halfmann, R. (2003). SOTIS-a self-organizing traffic information system. In Proceedings of 57th IEEE vehicular technology conference (VTC), vol. 4, pp. 2442–2446.
13.
go back to reference Caliskan, M., Graupner, D., & Mauve, M. (2006). Decentralized discovery of free parking places. In Proceedings of 3rd ACM international workshop on vehicular ad hoc networks (VANET), pp. 30–39. Caliskan, M., Graupner, D., & Mauve, M. (2006). Decentralized discovery of free parking places. In Proceedings of 3rd ACM international workshop on vehicular ad hoc networks (VANET), pp. 30–39.
14.
go back to reference Kumar, R., & Dave, M. (2012). A review of various VANET data dissemination protocols. International Journal of U-and E-Service, Science and Technology (IJUNESST), 5(3), 27–44. Kumar, R., & Dave, M. (2012). A review of various VANET data dissemination protocols. International Journal of U-and E-Service, Science and Technology (IJUNESST), 5(3), 27–44.
15.
go back to reference Dietzel, S., Kargl, F., Heijenk, G., & Schaub, F. (2010). On the potential of generic modeling for VANET data aggregation protocols. In Proceedings of IEEE vehicular networking conference, pp. 78–85. Dietzel, S., Kargl, F., Heijenk, G., & Schaub, F. (2010). On the potential of generic modeling for VANET data aggregation protocols. In Proceedings of IEEE vehicular networking conference, pp. 78–85.
16.
go back to reference Zhang, L., et al. (2013). Mobility analysis in vehicular ad hoc network (VANET). Journal of Network and Computer Applications, 36(3), 1050–1056.CrossRef Zhang, L., et al. (2013). Mobility analysis in vehicular ad hoc network (VANET). Journal of Network and Computer Applications, 36(3), 1050–1056.CrossRef
17.
go back to reference Baguena, M., Tornell, S. M., Torres, A., Calafate, C. T., Cano, J. C., & Manzoni, P. (2013). VACaMobil: VANET car mobility manager for OMNeT++. In Proceedings of IEEE international conference on communications workshops (ICC), pp. 1057–1061. Baguena, M., Tornell, S. M., Torres, A., Calafate, C. T., Cano, J. C., & Manzoni, P. (2013). VACaMobil: VANET car mobility manager for OMNeT++. In Proceedings of IEEE international conference on communications workshops (ICC), pp. 1057–1061.
18.
go back to reference Bai, F., Sadagopan, N., & Helmy, A. (2003). Important: A framework to systematically analyze the impact of mobility on performance of routing protocols for ad hoc networks. In Proceedings of 22nd IEEE international conference computer and communications (INFOCOM), pp. 825–835. Bai, F., Sadagopan, N., & Helmy, A. (2003). Important: A framework to systematically analyze the impact of mobility on performance of routing protocols for ad hoc networks. In Proceedings of 22nd IEEE international conference computer and communications (INFOCOM), pp. 825–835.
19.
go back to reference Zonoozi, M. M., & Dassanayake, P. (1997). User mobility modeling and characterization of mobility patterns. IEEE Journal on Selected Areas in Communications, 15(7), 1239–1252.CrossRef Zonoozi, M. M., & Dassanayake, P. (1997). User mobility modeling and characterization of mobility patterns. IEEE Journal on Selected Areas in Communications, 15(7), 1239–1252.CrossRef
20.
go back to reference Li, F., Yang, Y., & Wu, J. (2009). Mobility management in MANETs: Exploit the positive impacts of mobility, computer communications and networks, guide to wireless ad hoc networks, pp. 211–235. Li, F., Yang, Y., & Wu, J. (2009). Mobility management in MANETs: Exploit the positive impacts of mobility, computer communications and networks, guide to wireless ad hoc networks, pp. 211–235.
21.
go back to reference Ghosh, J., et al. (2006). Mobility profile based routing within intermittently connected mobile ad hoc networks (ICMAN). In Proceedings of international conference on wireless communications and mobile computing (IWCMC), pp. 551–556. Ghosh, J., et al. (2006). Mobility profile based routing within intermittently connected mobile ad hoc networks (ICMAN). In Proceedings of international conference on wireless communications and mobile computing (IWCMC), pp. 551–556.
22.
go back to reference Gunes, M., & Wenig, M. (2009). Models for realistic mobility and radio wave propagation for ad hoc network simulations, computer communications and networks. Springer, Berlin, pp. 255–280. Gunes, M., & Wenig, M. (2009). Models for realistic mobility and radio wave propagation for ad hoc network simulations, computer communications and networks. Springer, Berlin, pp. 255–280.
23.
go back to reference Sichitiu, M. L. (2009). Mobility models for ad hoc networks, computer communications and networks. Springer, Berlin, pp. 237–254. Sichitiu, M. L. (2009). Mobility models for ad hoc networks, computer communications and networks. Springer, Berlin, pp. 237–254.
24.
go back to reference Lopez-Nores, M., et al. (2008). Qualitative assessment of approaches to coordinate activities of mobile hosts in ad hoc networks. IEEE Communications Magazine, 46(12), 108–111.CrossRef Lopez-Nores, M., et al. (2008). Qualitative assessment of approaches to coordinate activities of mobile hosts in ad hoc networks. IEEE Communications Magazine, 46(12), 108–111.CrossRef
25.
go back to reference Younas, M., & Awan, I. (2013). Mobility management scheme for context-aware transactions in pervasive and mobile cyberspace. IEEE Transactions on Industrial Electronics, 60(3), 1108–1115.CrossRef Younas, M., & Awan, I. (2013). Mobility management scheme for context-aware transactions in pervasive and mobile cyberspace. IEEE Transactions on Industrial Electronics, 60(3), 1108–1115.CrossRef
26.
go back to reference Zarifneshat, M., & Khadivi, P. (2013). Using mobile node speed changes for movement direction change prediction in a realistic category of mobility models. Journal of Network and Computer Applications, 36(3), 1078–1090.CrossRef Zarifneshat, M., & Khadivi, P. (2013). Using mobile node speed changes for movement direction change prediction in a realistic category of mobility models. Journal of Network and Computer Applications, 36(3), 1078–1090.CrossRef
27.
go back to reference Tayal, S. (2012). VANET-challenges in selection of vehicular mobility model. In Proceedings of 2nd IEEE conference on advanced computing & communication technologies (ACCT), pp. 231–235. Tayal, S. (2012). VANET-challenges in selection of vehicular mobility model. In Proceedings of 2nd IEEE conference on advanced computing & communication technologies (ACCT), pp. 231–235.
28.
go back to reference Wang, T., & Low, C. P. (2013). Evaluating inter-arrival time in general random waypoint mobility model. Ad Hoc Networks, 11, 124–137.CrossRef Wang, T., & Low, C. P. (2013). Evaluating inter-arrival time in general random waypoint mobility model. Ad Hoc Networks, 11, 124–137.CrossRef
29.
go back to reference Arellano, W., & Mahgoub, I. (2013). TrafficModeler extensions: A case for rapid VANET simulation using OMNET++, SUMO, and VEINS. In Proceedings of 10th international conference on high capacity optical networks and enabling technologies (HONET-CNS), pp. 109–115. Arellano, W., & Mahgoub, I. (2013). TrafficModeler extensions: A case for rapid VANET simulation using OMNET++, SUMO, and VEINS. In Proceedings of 10th international conference on high capacity optical networks and enabling technologies (HONET-CNS), pp. 109–115.
30.
go back to reference Madi, S., & Al-Qamzi, H. (2013). A survey on realistic mobility models for vehicular ad hoc networks (VANETs). In Proceedings of 10th IEEE international conference on networking, sensing and control (ICNSC), pp. 333–339. Madi, S., & Al-Qamzi, H. (2013). A survey on realistic mobility models for vehicular ad hoc networks (VANETs). In Proceedings of 10th IEEE international conference on networking, sensing and control (ICNSC), pp. 333–339.
31.
go back to reference Sou, S.-I. (2013). Modeling emergency messaging for car accident over dichotomized headway model in vehicular ad-hoc networks. IEEE Transactions on Communications, 61(2), 802–812.CrossRef Sou, S.-I. (2013). Modeling emergency messaging for car accident over dichotomized headway model in vehicular ad-hoc networks. IEEE Transactions on Communications, 61(2), 802–812.CrossRef
32.
go back to reference Nimje, T. G., & Dorle, S. S., (2013). A survey on various mobility models to improve realistic simulation and accuracy of IVC protocols. In Proceedings of international conference on emerging trends in computing, communication and nanotechnology (ICE-CCN), pp. 245–249. Nimje, T. G., & Dorle, S. S., (2013). A survey on various mobility models to improve realistic simulation and accuracy of IVC protocols. In Proceedings of international conference on emerging trends in computing, communication and nanotechnology (ICE-CCN), pp. 245–249.
33.
go back to reference Nelson, E. (1967). Dynamical theories of Brownian motion, 2nd edn. Princeton University Press, Princeton. Nelson, E. (1967). Dynamical theories of Brownian motion, 2nd edn. Princeton University Press, Princeton.
34.
go back to reference Boudec, J. Y. L., & Vojnovic, M. (2005). Perfect simulation and stationary of a class of mobility models. In Proceedings of 24th IEEE international conference on computer communications (INFOCOM), pp. 2743–2754. Boudec, J. Y. L., & Vojnovic, M. (2005). Perfect simulation and stationary of a class of mobility models. In Proceedings of 24th IEEE international conference on computer communications (INFOCOM), pp. 2743–2754.
35.
go back to reference Johnson, D. B., & Maltz, D. A. (1996). Dynamic source routing in ad hoc wireless networks. In Mobile computing, the Kluwer international series in engineering and computer science, vol. 353, pp. 153–181. Johnson, D. B., & Maltz, D. A. (1996). Dynamic source routing in ad hoc wireless networks. In Mobile computing, the Kluwer international series in engineering and computer science, vol. 353, pp. 153–181.
36.
go back to reference Lam, D., et al. (1997). Teletraffic modeling for personal communications services. IEEE Communications Magazine, 35(2), 79–87.CrossRef Lam, D., et al. (1997). Teletraffic modeling for personal communications services. IEEE Communications Magazine, 35(2), 79–87.CrossRef
37.
go back to reference Bar-Noy, A., et al. (1994). Mobile users: To update or not to update? In Proceedings of IEEE INFOCOM, vol. 2, pp. 570–576. Bar-Noy, A., et al. (1994). Mobile users: To update or not to update? In Proceedings of IEEE INFOCOM, vol. 2, pp. 570–576.
38.
go back to reference Turgut, D., Das, S. K., & Chatterjee, M. (2001). Longevity of routes in mobile ad hoc networks. In Proceedings of IEEE vehicular technology conference (VTC) spring, pp. 2833–2837. Turgut, D., Das, S. K., & Chatterjee, M. (2001). Longevity of routes in mobile ad hoc networks. In Proceedings of IEEE vehicular technology conference (VTC) spring, pp. 2833–2837.
39.
go back to reference Liang, B., & Haas, Z. (2003). Predictive distance-based mobility management for PCS networks. IEEE /ACM Transactions on Networking, 11(5), 1377–1384. Liang, B., & Haas, Z. (2003). Predictive distance-based mobility management for PCS networks. IEEE /ACM Transactions on Networking, 11(5), 1377–1384.
40.
go back to reference Papoulis, A. (1991). Probability, random variables, and stochastic process. New York: McGraw-Hill. Papoulis, A. (1991). Probability, random variables, and stochastic process. New York: McGraw-Hill.
41.
go back to reference Camp, T., et al. (2002). A survey of mobility models for ad hoc network research. Wireless Communication & Mobile Computing (WCMC): Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, 2(5), 483–502. Camp, T., et al. (2002). A survey of mobility models for ad hoc network research. Wireless Communication & Mobile Computing (WCMC): Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, 2(5), 483–502.
43.
go back to reference Dalu, S. S., et al. (2009). Hardware implementation of a topology control algorithm for MANETs using nomadic community mobility model. Journal of Theoretical and Applied Information Technology (JATIT), 5(3), 11–18. Dalu, S. S., et al. (2009). Hardware implementation of a topology control algorithm for MANETs using nomadic community mobility model. Journal of Theoretical and Applied Information Technology (JATIT), 5(3), 11–18.
44.
go back to reference Hong, X., et al. (1999) A group mobility model for ad-hoc wireless networks. In Proceedings of 2nd ACM international workshop on modeling, analysis and simulation of wireless and mobile systems (MSWiM), pp. 53–60. Hong, X., et al. (1999) A group mobility model for ad-hoc wireless networks. In Proceedings of 2nd ACM international workshop on modeling, analysis and simulation of wireless and mobile systems (MSWiM), pp. 53–60.
45.
go back to reference Wang, K. H., & Li, B. (2003). Group mobility and partition prediction in wireless ad-hoc networks. In Proceedings of IEEE international conference on communications (ICC), pp. 1017–1021. Wang, K. H., & Li, B. (2003). Group mobility and partition prediction in wireless ad-hoc networks. In Proceedings of IEEE international conference on communications (ICC), pp. 1017–1021.
46.
go back to reference Cano, J. C., & Manzoni, P. (2004). Group mobility impact over TCP and CBR traffic in mobile ad hoc networks. In Proceedings of 12th euromicro conference on parallel, distributed and network-based processing, pp. 382–389. Cano, J. C., & Manzoni, P. (2004). Group mobility impact over TCP and CBR traffic in mobile ad hoc networks. In Proceedings of 12th euromicro conference on parallel, distributed and network-based processing, pp. 382–389.
47.
go back to reference Jardosh, A., et al. (2005). Real-word environment models for mobile network evolution. Journal on Selected Areas in Communications Special Issue on Wireless Ad Hoc Networks, 23(3), 622–632.CrossRef Jardosh, A., et al. (2005). Real-word environment models for mobile network evolution. Journal on Selected Areas in Communications Special Issue on Wireless Ad Hoc Networks, 23(3), 622–632.CrossRef
48.
go back to reference Zaidi, Z. R. (2004). Mobility modeling and management in wireless networks. Ph.D. dissertation, electrical and computer engineering department, George Mason University. Zaidi, Z. R. (2004). Mobility modeling and management in wireless networks. Ph.D. dissertation, electrical and computer engineering department, George Mason University.
49.
go back to reference Zaidi, Z. R., & Mark, B. L. (2003). A mobility tracking model for wireless ad hoc networks. In Proceedings of IEEE conference on wireless communications and networking (WCNC), vol. 3, pp. 1790–1795. Zaidi, Z. R., & Mark, B. L. (2003). A mobility tracking model for wireless ad hoc networks. In Proceedings of IEEE conference on wireless communications and networking (WCNC), vol. 3, pp. 1790–1795.
50.
go back to reference Carling, C., et al. (2003). A flock-based model for ad hoc communication networks. In Proceedings of 8th international command and control research and technology symposium, pp. 1–17. Carling, C., et al. (2003). A flock-based model for ad hoc communication networks. In Proceedings of 8th international command and control research and technology symposium, pp. 1–17.
51.
go back to reference Reynolds, C. W. (1987). Flocks, herds, and schools: A distributed behavioral model in computer graphics. In Proceedings of conference on SIGGRAPH, pp. 25–34. Reynolds, C. W. (1987). Flocks, herds, and schools: A distributed behavioral model in computer graphics. In Proceedings of conference on SIGGRAPH, pp. 25–34.
52.
go back to reference Olfati-Saber, R. (2006). Flocking for multi-agent dynamic systems: Algorithms and theory. IEEE Transaction on Automatic Control, 51(3), 401–420.MathSciNetCrossRef Olfati-Saber, R. (2006). Flocking for multi-agent dynamic systems: Algorithms and theory. IEEE Transaction on Automatic Control, 51(3), 401–420.MathSciNetCrossRef
53.
go back to reference Olfati-Saber, R. (2007). Distributed tracking for mobile sensor networks with information-driven mobility. In American control conference (ACC), pp. 4606–4612. Olfati-Saber, R. (2007). Distributed tracking for mobile sensor networks with information-driven mobility. In American control conference (ACC), pp. 4606–4612.
54.
go back to reference Kim, D. S., & Hwang, S. K. (2007). Swarm group mobility model for ad hoc wireless networks. Journal of Ubiquitous Convergence Technology, 1(1), 53–59. Kim, D. S., & Hwang, S. K. (2007). Swarm group mobility model for ad hoc wireless networks. Journal of Ubiquitous Convergence Technology, 1(1), 53–59.
55.
go back to reference Fitzek, F., et al. (2003). Mobility and stability evaluation in wireless multi-hop networks using multi-player games. In Proceedings of 2nd workshop on network and system support for games (NetGames), pp. 77–87. Fitzek, F., et al. (2003). Mobility and stability evaluation in wireless multi-hop networks using multi-player games. In Proceedings of 2nd workshop on network and system support for games (NetGames), pp. 77–87.
57.
go back to reference Czumaj, A., & Sohler, C. (2001). Soft kinetic data structures. In Proceedings of 12th annual ACM-SIAM symposium on discrete algorithms (SODA), pp. 865–872. Czumaj, A., & Sohler, C. (2001). Soft kinetic data structures. In Proceedings of 12th annual ACM-SIAM symposium on discrete algorithms (SODA), pp. 865–872.
58.
go back to reference Dobson, S., et al. (2006). A survey of autonomic communications. ACM Transaction on Autonomous and Adaptive Systems (TAAS), 1(2), 223–259.MathSciNetCrossRef Dobson, S., et al. (2006). A survey of autonomic communications. ACM Transaction on Autonomous and Adaptive Systems (TAAS), 1(2), 223–259.MathSciNetCrossRef
59.
go back to reference Hsu, W., et al. (2007). Modeling time-variant user mobility in wireless mobile networks. In Proceedings of 26th IEEE international conference on computer communications (INFOCOM), pp. 758–766. Hsu, W., et al. (2007). Modeling time-variant user mobility in wireless mobile networks. In Proceedings of 26th IEEE international conference on computer communications (INFOCOM), pp. 758–766.
60.
go back to reference Musolesi, M., & Mascolo, C. (2006). A community based mobility model for ad hoc network research. In Proceedings of 2nd international workshop on multi-hop ad hoc networks: From theory to reality, REALMAN, pp. 31–38. Musolesi, M., & Mascolo, C. (2006). A community based mobility model for ad hoc network research. In Proceedings of 2nd international workshop on multi-hop ad hoc networks: From theory to reality, REALMAN, pp. 31–38.
61.
go back to reference Ghosh, J. (2006). Sociological orbit based mobility profiling and routing for wireless networks, PhD Thesis, Department of Computer Science and Engineering, The State University of New York, Buffalo. Ghosh, J. (2006). Sociological orbit based mobility profiling and routing for wireless networks, PhD Thesis, Department of Computer Science and Engineering, The State University of New York, Buffalo.
62.
go back to reference Zhao, M., & Wang, W. (2007). Analyzing topology dynamics in mobile ad hoc networks using a smooth mobility model. In Proceedings of IEEE conference on wireless communications and networking (WCN), pp. 3279–3284. Zhao, M., & Wang, W. (2007). Analyzing topology dynamics in mobile ad hoc networks using a smooth mobility model. In Proceedings of IEEE conference on wireless communications and networking (WCN), pp. 3279–3284.
63.
go back to reference Handorean, R., et al. (2004). Accommodating transient connectivity in ad hoc and mobile settings, LNCS, No. 3001, pp. 1–18. Handorean, R., et al. (2004). Accommodating transient connectivity in ad hoc and mobile settings, LNCS, No. 3001, pp. 1–18.
64.
go back to reference Sen, R., et al. (2004). Knowledge-driven interactions with services across ad hoc networks. In Proceedings of 2nd ACM international conference on service oriented computing (ICSOC), pp. 222–231. Sen, R., et al. (2004). Knowledge-driven interactions with services across ad hoc networks. In Proceedings of 2nd ACM international conference on service oriented computing (ICSOC), pp. 222–231.
65.
go back to reference Akhtar, N., Coleri Ergen, S., & Ozkasap, O. (2014). Vehicle mobility and communication channel models for realistic and efficient highway VANET simulation. IEEE Transactions on Vehicular Technology, pp. 1–14. doi:10.1109/TVT.2014.2319107. Akhtar, N., Coleri Ergen, S., & Ozkasap, O. (2014). Vehicle mobility and communication channel models for realistic and efficient highway VANET simulation. IEEE Transactions on Vehicular Technology, pp. 1–14. doi:10.​1109/​TVT.​2014.​2319107.
66.
go back to reference Potnis, N., & Mahajan, A. (2006). Mobility models for vehicular ad hoc network simulations. In Proceedings of 44th annual southeast regional conference, ACM, NY, USA, pp. 746–747. Potnis, N., & Mahajan, A. (2006). Mobility models for vehicular ad hoc network simulations. In Proceedings of 44th annual southeast regional conference, ACM, NY, USA, pp. 746–747.
67.
go back to reference Oliveira, R., Luís, M., Furtado, A., Bernardo, L., Dinis, R., & Pinto, P. (2013). Improving path duration in high mobility vehicular ad hoc networks. Ad Hoc Networks, 11, 89–103.CrossRef Oliveira, R., Luís, M., Furtado, A., Bernardo, L., Dinis, R., & Pinto, P. (2013). Improving path duration in high mobility vehicular ad hoc networks. Ad Hoc Networks, 11, 89–103.CrossRef
68.
go back to reference Saha, A. K., & Johnson, D. B. (2004). Modeling mobility for vehicular ad-hoc networks. In Proceedings of 1st ACM international workshop on vehicular ad hoc networks, pp. 91–92. Saha, A. K., & Johnson, D. B. (2004). Modeling mobility for vehicular ad-hoc networks. In Proceedings of 1st ACM international workshop on vehicular ad hoc networks, pp. 91–92.
70.
go back to reference Schindelhauer, C. (2006). Mobility in wireless networks. In Proceedings of SOFSEM 2006, LNCS, vol. 3831, pp. 100–116. Schindelhauer, C. (2006). Mobility in wireless networks. In Proceedings of SOFSEM 2006, LNCS, vol. 3831, pp. 100–116.
71.
go back to reference Harri, J., Filali, F., & Bonnet, C. (2009). Mobility models for vehicular ad hoc networks: A survey and taxonomy. IEEE Communications Surveys & Tutorials, 11(4), 19–41.CrossRef Harri, J., Filali, F., & Bonnet, C. (2009). Mobility models for vehicular ad hoc networks: A survey and taxonomy. IEEE Communications Surveys & Tutorials, 11(4), 19–41.CrossRef
72.
go back to reference Khaledi, M. J., Rabiee, H. R., & Khaledi, M. H. (2010). Fuzzy mobility analyzer: A framework for evaluating mobility models in mobile ad-hoc networks. In IEEE wireless communications and networking conference (WCNC), pp. 1–6. Khaledi, M. J., Rabiee, H. R., & Khaledi, M. H. (2010). Fuzzy mobility analyzer: A framework for evaluating mobility models in mobile ad-hoc networks. In IEEE wireless communications and networking conference (WCNC), pp. 1–6.
73.
go back to reference Roy, R. R. (2011). Handbook of mobile ad hoc networks for mobility models. Springer, Berlin. Roy, R. R. (2011). Handbook of mobile ad hoc networks for mobility models. Springer, Berlin.
74.
go back to reference Das, S., & Lobiyal, D. K. (2013). Effect of mobility models on the performance of LAR protocol for vehicular ad hoc networks. Wireless Personal Communications, 72(1), 35–48.CrossRef Das, S., & Lobiyal, D. K. (2013). Effect of mobility models on the performance of LAR protocol for vehicular ad hoc networks. Wireless Personal Communications, 72(1), 35–48.CrossRef
75.
go back to reference Basagni, S., Conti, M., Giordano, S., & Stojmenovic, I. (2013). Mobility models, topology, and simulations in VANET, mobile ad hoc networking: The cutting edge directions, 1st edn. Wiley-IEEE Press, pp. 545–576, ISBN: 9781118511305. Basagni, S., Conti, M., Giordano, S., & Stojmenovic, I. (2013). Mobility models, topology, and simulations in VANET, mobile ad hoc networking: The cutting edge directions, 1st edn. Wiley-IEEE Press, pp. 545–576, ISBN: 9781118511305.
76.
go back to reference Keykhaie, S., & Mahmoudifar, A. (2014). Study of connectivity in a vehicular ad hoc network with random node speed distribution. In Proceedings of 6th international conference on new technologies, mobility and security (NTMS), pp. 1–4. doi:10.1109/NTMS.2014.6814051. Keykhaie, S., & Mahmoudifar, A. (2014). Study of connectivity in a vehicular ad hoc network with random node speed distribution. In Proceedings of 6th international conference on new technologies, mobility and security (NTMS), pp. 1–4. doi:10.​1109/​NTMS.​2014.​6814051.
Metadata
Title
Mobility Models and their Affect on Data Aggregation and Dissemination in Vehicular Networks
Authors
Rakesh Kumar
Mayank Dave
Publication date
01-12-2014
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2014
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1983-9

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