A Survey on Obstacle Modeling Patterns in Radio Propagation Models for Vehicular Ad Hoc Networks

Arabian Journal for Science and Engineering

Volumn 40, Issue 5, 2015, Pages 1385-1407

  Qureshi, Muhammad Ahsan ^a   Noor, Rafidah Md ^a   Shamshirband, Shahaboddin ^a   Parveen, Sharmin ^a   Shiraz, Muhammad ^a   Gani, Abdullah ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

IEEE 802.11p; Obstacle model; Path loss; Propagation; VANETs; Vehicle to vehicle communication

Indexed keywords

EID: 84928405025     PISSN: 2193567X     EISSN: 21914281     Source Type: Journal    
DOI: 10.1007/s13369-015-1600-6     Document Type: Article

References (90)

1. Farah H., Koutsopoulos H.N., Saifuzzaman M., Kölbl R., Fuchs S., Bankosegger D.: Evaluation of the effect of cooperative infrastructure-to-vehicle systems on driver behavior. Transp. Res. C Emerg. Technol. 21(1), 42–56 (2012)
2. Korkmaz G., Ekici E., Özgüner F.: Supporting real-time traffic in multihop vehicle-to-infrastructure networks. Transp. Res. C Emerg. Technol. 18(3), 376–392 (2010)
3. Yin K., Wang X.B., Zhang Y.: Vehicle-to-vehicle connectivity on two parallel roadways with a general headway distribution. Transp. Res. C Emerg. Technol. 29, 84–96 (2013)
4. Manvi S., Kakkasageri M.: Issues in mobile ad hoc networks for vehicular communication. IETE Tech. Rev. 25(2), 59 (2008)
5. Xiong H., Qin Z., Li F.: Secure vehicle-to-roadside communication protocol using certificate-based cryptosystem. IETE Tech. Rev. 27(3), 214 (2010)
6. Beresford A.R., Bacon J.: Intelligent transportation systems. IEEE Pervasive Comput. 5(4), 63–67 (2006)
7. Cozzetti, H.A.; Campolo, C.; Scopigno, R.; Molinaro, A.: Urban VANETS and hidden terminals: evaluation through a realistic urban grid propagation model. In: IEEE International Conference on Vehicular Electronics and Safety, ICVES, Istanbul, Turkey, pp. 93–98 (2012)
8. Jiang, D.; Delgrossi, L.: IEEE 802.11 p: towards an international standard for wireless access in vehicular environments. In: IEEE Vehicular Technology Conference, VTC Spring 2008, pp. 2036–2040 (2008)
9. Martinez, F.J.; Toh, C.K.; Cano, J.C.; Calafate, C.T.; Manzoni, P.: Realistic radio propagation models (RPMS) for VANET simulations. In: IEEE Wireless Communications and Networking Conference, WCNC, pp. 1–6 (2009)
10. Marinoni, S.; Kari H.H.: Ad hoc routing protocol performance in a realistic environment. In: IEEE International Conference on Mobile Communications and Learning Technologies, pp. 96–96 (2006)
11. Mahajan, A.; Potnis, N.; Gopalan, K.; Wang, A.: Modeling VANET deployment in urban settings. In: Proceedings of the 10th ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, Chania, Crete Island, Greece, pp. 151–158 (2007)
12. Xia, H.H.: An analytical model for predicting path loss in urban and sub-urban environments. In: Seventh IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC’96, Taipei, Taiwan, vol. 1, pp. 19–23 (1996)
13. Mughal, B.M.; Wagan, A.A.; Hasbullah, H.: Analyzing safety beacon loss rate in VANETS with two-ray ground and Nakagami propagation models. In: IEEE National Postgraduate Conference, NPC, Malaysia, pp. 1–6 (2011)
14. Zajic A.G., Stuber G.L.: Stubber, Space-time correlated mobile-to-mobile channels: modelling and simulation. IEEE Trans. Veh. Technol. 57(2), 715–726 (2008)
15. Scopigno, R.; Cozzetti, H.A.: Signal shadowing in simulation of urban vehicular communications. In: IEEE 6th International Conference on Wireless and Mobile Communications, ICWMC, Valencia, Spain, pp. 131–138 (2010)
16. Wang B.X., Adams T.M., Jin W., Meng Q.: The process of information propagation in a traffic stream with a general vehicle headway: a revisit. Transp. Res. C Emerg. Technol. 18(3), 367–375 (2010)
17. Sommer, C.; Eckhoff, D.; German, R.; Dressler, F.: A computationally inexpensive empirical model of IEEE 802.11 p radio shadowing in urban environments. In: IEEE Eighth International Conference on Wireless On-Demand Network Systems and Services, WONS, Italy, pp. 84–90 (2011)
18. Erceg V., Greenstein L.J., Tjandra S.Y., Parkoff S.R., Gupta A., Kulic B., Julius A.A., Bianchi R.: An empirically based path loss model for wireless channels in suburban environments. IEEE J. Sel. Areas Commun. 17(7), 1205–1211 (1999)
19. Carcione J.J.M.: Wave Fields in Real Media: Wave Propagation in Anisotropic, Anelastic and Porous Media. Elsevier, Amsterdam (2001)
20. Saunders S., Arag’on Zavala A.: Antennas and Propagation for Wireless Communication Systems, 2nd edn. Wiley, London (2007)
21. Budden K.G.: The Propagation of Radio Waves: The Theory of Radio Waves of Low Power in the Ionosphere and Magnetosphere, 1st edn. Cambridge University Press, Cambridge (1988)
22. Lee, J.-S.; Su, Y.W.; Shen, C. C.: A comparative study of wireless protocols: Bluetooth, uwb, zigbee, and wi-fi. In: IEEE 33rd Annual Conference of Industrial Electronics Society, IECON, Taiwan, pp. 46–51 (2007)
23. Morgan Y.L.: Notes on DSRC & wave standards suite: its architecture, design, and characteristics. IEEE Commun. Surv. Tutor. 12(4), 504–518 (2010)
24. Kenney J.B.: Dedicated short-range communications (DSRC) standards in the united states. Proc. IEEE 99(7), 1162– 1182 (2011)
25. Asefi, M.; Mark, J.W.; Shen, X.: A mobility-aware and quality-driven retransmission limit adaptation scheme for video streaming over VANETs. IEEE Trans. Wirel. Commun. 11(5), 1817–1827
26. Andrusenko J., Miller R.L., Abrahamson J.A., Merheb Emanuelli N.M., Pattay R.S., Shuford R.M.: VHF general urban path loss model for short range ground-to-ground communications. IEEE Trans. Antennas Propag. 56(10), 3302–3310 (2008)
27. Madi, S.; Al-Qamzi H.: A survey on realistic mobility models for vehicular ad hoc networks (VANETS). In: 10th IEEE International Conference on Networking, Sensing and Control, ICNSC, France, pp. 333–339 (2013)
28. Harri J., Filali F., Bonnet C.: Mobility models for vehicular ad hoc networks: a survey and taxonomy. IEEE Commun. Surveys Tutor. 11(4), 19–41 (2009)
29. Zhu H., Li M., Fu L., Xue G., Zhu Y., Ni L.M.: Impact of traffic influxes: revealing exponential intercontact time in urban VANETs. IEEE Trans. Parallel Distrib. Syst. 22(8), 1258–1266 (2011)
30. Fiore, M.; Harri, J.; Filali, F.; Bonnet, C.: Vehicular mobility simulation for VANETS. In: 40th Annual, IEEE Simulation Symposium, ANSS’07, Washington, pp. 301–309 (2007)
31. McDonald A.B., Znati T.F.: A mobility-based framework for adaptive clustering in wireless ad hoc networks. IEEE J. Sel. Areas Commun. 17(8), 1466–1487 (1999)
32. Camp T., Boleng J., Davies V.: A survey of mobility models for ad hoc network research. Wirel. Commun. Mob. Comput. 2(5), 483–502 (2002)
33. Traffic simulation with ptv vissim. http://vision-traffic.ptvgroup.com/en-uk/products/ptv-vissim/. Accessed 14 Feb 2014
34. Tsis: traffic software integrated system. http://mctrans.ce.ufl.edu/featured/tsis/. Accessed 6 March 2014
35. Sumo—simulation of urban mobility. http://sumo.sourceforge.net/. Accessed 7 March 2014
36. Tiger products—geography—US Census Bureau. http://www.census.gov/geo/maps-data/data/tiger.html. Accessed 7 March 2014
37. Stanica R., Chaput E., Beylot A.L.: Simulation of vehicular ad-hoc networks: challenges, review of tools and recommendations. Comput. Netw. 55(14), 3179–3188 (2011)
38. Issariyakul T., Hossain E.: An Introduction to Network Simulator NS2. Springer, Berlin (2012)
39. Ripoll J., Schulz B.R., Ntziachristos V.: Free-space propagation of diffuse light: theory and experiments. Phys. Rev. Lett. 91(10), 103901 (2003)
40. Ishimaru A.: Wave Propagation and Scattering in Random Media, vol. 2. Academic Press, Newyork (1978)
41. Andersen J.B., Rappaport T.S., Yoshida S.: Propagation measurements and models for wireless communications channels. IEEE Commun. Mag. 33(1), 42–49 (1995)
42. Sklar B.: Rayleigh fading channels in mobile digital communication systems. I. Characterization. IEEE Commun. Mag. 35(7), 90–100 (1997)
43. Punnoose, R.J.; Nikitin, P. V.; Stancil, D.D.: Efficient simulation of Rician fading within a packet simulator. In: 52nd IEEE Vehicular Technology Conference, VTC 2000, vol. 2, pp. 764–767 (2000)
44. Eltahir, I.K.: The impact of different radio propagation models for mobile ad hoc networks (MANET) in urban area environment. In: The 2nd IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, Sydney, NSW, pp. 30 (2007)
45. Graziosi F., Santucci F.: A general correlation model for shadow fading in mobile radio systems. IEEE Commun. Lett. 6(3), 102–104 (2002)
46. Nakagami, M.; Hoffman, W.C.: The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading. Statistical Method in Radio Wave Propagation. Pergamon, Oxford, pp. 3–36 (1960)
47. Van Eenennaam, E.M.: A survey of propagation models used in vehicular ad hoc network (VANET) Research. http://wwwhome.ewi.utwente.nl/~eenennaa/unpublished/vanEenennaam_MRC_paper.pdf. Accessed 15 Dec 2014
48. Lassabe, F.; Canalda, P.; Chatonnay, P.; Spies, F.; Baala, O.: A Friis-based calibrated model for WiFi terminals positioning. In: Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks, WoWMoM, Taormina, Italy, pp. 382–387 (2005)
49. Fall, K.; Varadhan, K.: The NS manual (formerly NS notes and documentation). The VINT Project. http://web.cs.sunyit.edu/~nelsond/WebPage/HPC/docs/ns_tutorial-doc.pdf. Accessed 23 May 2014
50. Rustako A.J., Amitay N., Owens G.J., Roman R.: Radio propagation at microwave frequencies for line-of-sight microcellular mobile and personal communications. IEEE Trans. Veh. Technol. 40(1), 203–210 (1991)
51. Hosseini Tabatabaei S.A., Fleury M., Qadri N.N., Ghanbari M.: Improving propagation modeling in urban environments for vehicular ad hoc networks. IEEE Trans. Intell. Transp. Syst. 12(3), 705–716 (2011)
52. Stepanov, I.; Herrscher, D.; Rothermel, K.: On the impact of radio propagation models on MANET simulation results. In: Proceedings of 7th International Conference on Mobile and Wireless Communications Networks, MWCN, Marrakech, Morocco (2005)
53. Rappaort T.S.: Wireless Communications: Principles and Practice, 2nd edn. Prentice Hall, Englewood Cliffs (2002)
54. Adeane, J.; Rodrigues, M.R.; Wassell, I.J.: Characterisation of the performance of cooperative networks in Ricean fading channels. In: 12th International Conference on Telecommunications, ICT, pp. 3–6 (2005)
55. Pajala, E.; Isotalo, T.; Lakhzouri, A.; Lohan, E.S.: An improved simulation model for Nakagami-m fading channels for satellite positioning applications. In: 3rd Workshop on Position, Navigation and Communication, Hannover, Germany, pp. 81–89 (2006)
56. Yip K.W., Ng T.S.: A simulation model for Nakagami-m fading channels, m < 1. IEEE Trans. Commun. 48(2), 214–221 (2000)
57. Luebbers R.: Finite conductivity uniform GTD versus knife edge diffraction in prediction of propagation path loss. IEEE Trans. Antennas Propag. 32(1), 70–76 (1984)
58. Bettstetter C., Resta G., Santi P.: The node distribution of the random waypoint mobility model for wireless ad hoc networks. IEEE Trans. Mob. Comput. 2(3), 257–269 (2003)
59. Bettstetter C., Hartenstein H., P’erezCosta X.: Stochastic properties of the random waypoint mobility model. Wirel. Netw. 10(5), 555–567 (2004)
60. Yoon, J.; Liu, M.; Noble, B.: Random waypoint considered harmful. In: Twenty-Second Annual Joint Conference of the IEEE Computer and Communications, INFOCOM 2003, vol. 2, pp. 1312–1321 (2003)
61. Rojas, A.; Branch, P.; Armitage, G.: Experimental validation of the random waypoint mobility model through a real world mobility trace for large geo- graphical areas. In: Proceedings of the 8th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 174–177 (2005)
62. Hsu W.J., Merchant K., Shu H.W., Hsu C.H., Helmy A.: Weighted way point mobility model and its impact on ad hoc networks. ACM SIGMOBILE. Mob. Comput. Commun. Rev. 9(1), 59–63 (2005)
63. Martinez, F.J.; Cano, J.C.; Calafate, C.T.; Manzoni, P.: Citymob: a mobility model pattern generator for VANETS. In: IEEE International Conference on Communications Workshops, ICC Workshops’ 08, pp. 370–374 (2008)
64. Martinez, F.J., Fogue, M., Coll, M., Cano, J., Calafate, C.T., Manzoni, P.: Assessing the impact of a realistic radio propagation model on VANET scenarios using real maps. In: 2010 9th IEEE International Symposium on Network Computing and Applications (NCA), pp. 132–139 (2010)
65. Otto, J.S.; Bustamante, F.E.; Berry, R.A.: Down the block and around the corner the impact of radio propagation on inter-vehicle wireless communication. In: 29th IEEE International Conference on Distributed Computing Systems, ICDCS’09, pp. 605–614 (2009)
66. Kargl, F.; Schoch, E.: Simulation of MANETS: a qualitative comparison between JIST/SWANS and NS-2. In: Proceedings of the 1st ACM International Workshop on System Evaluation for Mobile Platforms, pp. 41–46 (2007)
67. Karnadi, F.K.; Mo, Z.H.; Lan, K.C.: Rapid generation of realistic mobility models for VANET. In: IEEE Wireless Communications and Networking Conference, WCNC, pp. 2506–2511 (2007)
68. Sun Q., Tan S.Y., Teh K.C.: Analytical formulae for path loss prediction in urban street grid microcellular environments. IEEE Trans. Veh. Technol. 54(4), 1251–1258 (2005)
69. Treiber M., Hennecke A., Helbing D.: Congested traffic states in empirical observations and microscopic simulations. Phys. Rev. E 62(2), 1805 (2000)
70. About glomosim. http://pcl.cs.ucla.edu/projects/glomosim/. Accessed 23 March 2014
71. Zeng, X.; Bagrodia, R.; Gerla, M.: Glomosim: a library for parallel simulation of large-scale wireless networks. In: Twelfth IEEE Workshop on Parallel and Distributed Simulation, PADS 98, pp. 154–161 (1998)
72. Biddlestone S., Redmill K., Miucic R., Ozguner U.: An integrated 802.11 p WAVE DSRC and vehicle traffic simulator with experimentally validated urban (LOS and NLOS) propagation models. IEEE Trans. Intell. Transp. Syst. 13(4), 1792–1802 (2012)
73. Redmill, K.A.; Ozguner, U.: Vatsim: a vehicle and traffic simulator. In: IEEE International Conference on Intelligent Transportation Systems, pp. 656–661 (1999)
74. Henderson, T.R.; Lacage, M.; Riley, G.F.; Dowell, C.; Kopena, J.B.: Network simulations with the NS-3 simulator. ACM SIGCOMM Demonstration (2008)
75. The NS-3 network simulator. http://www.nsnam.org/. Accessed 21 Feb 2014
76. Giordano E., Frank R., Pau G., Gerla M.: Corner: a radio propagation model for VANETS in urban scenarios. Proc. IEEE 99(7), 1280–1294 (2011)
77. Wavemon: wireless device monitoring application. http://packages.debian.org/unstable/net/wavemon. Accessed 20 Feb 2014
78. Giordano, E.; De Sena, E.; Pau, G.; Gerla, M.; Vergilius: A scenario generator for VANET. In: 71st Vehicular Technology Conference, VTC 2010-Spring, pp. 1–5 (2010)
79. Mangel, T.; Michl, M.; Klemp, O.; Hartenstein, H.: Real-world measurements of non-line-of-sight reception quality for 5.9 GHZ IEEE 802.11 p at intersections. In: Communication Technologies for Vehicles. Springer, Berlin, pp. 189–202 (2011)
80. Cheng L., Henty B.E., Stancil D.D., Bai F., Mudalige P.: Mobile vehicle-to- vehicle narrow-band channel measurement and characterization of the 5.9 GHZ dedicated short range communication (DSRC) frequency band. IEEE J. Sel. Areas Commun. 25(8), 1501–1516 (2007)
81. Sen I., Matolak D.W.: Vehicle–vehicle channel models for the 5-GHZ band. IEEE Trans. Intell. Transp. Syst. 9(2), 235–245 (2008)
82. Boban M., Vinhoza T.T., Ferreira M., Barros J., Tonguz O.K.: Impact of vehicles as obstacles in vehicular ad hoc networks. IEEE J. Sel. Areas Commun. 29(1), 15–28 (2011)
83. Karedal, J.; Tufvesson, F.; Czink, N.; Paier, A.; Dumard, C.; Zemen, T.; et al.: Measurement-based modeling of vehicle- to-vehicle mimo channels. In: IEEE International Conference on Communications, ICC’09, pp. 1–6 (2009)
84. Qureshi, M.A.; Noor, R.M.: Towards improving vehicular communication in modern vehicular environment. In: IEEE 11th International Conference on Frontiers of Information Technology, FIT, pp. 177–182 (2013)
85. Renaudin O., Kolmonen V.M., Vainikainen P., Oestges C.: Wideband measurement-based modeling of inter-vehicle channels in the 5-GHz band. IEEE Trans. Veh. Technol. 62(8), 3531–3540 (2013)
86. Goz’alvez J., Sepulcre M., Bauza R.: IEEE 802.11 p vehicle to infrastructure communications in urban environments. IEEE Commun. Mag. 50(5), 176–183 (2012)
87. Akhtar N., Coleri Ergen S., Ozkasap O.: Vehicle mobility and communication channel models for realistic and efficient highway VANET simulation. IEEE Trans. Veh. Technol. 64(1), 248–262 (2014)
88. City interchange—flickr—photo sharing. http://www.flickr.com/photos/28549294@N05/5017645206. Accessed 20 July 2014
89. Stanica R., Chaput E., Beylot A.L.: Simulation of vehicular ad-hoc networks: challenges, review of tools and recommendations. Comput. Netw. 55(14), 3179–3188 (2011)
90. Angkititrakul, P.; Miyajima, C.; Takeda, K.: An improved driver-behavior model with combined individual and general driving characteristics. In: IEEE Intelligent Vehicles Symposium (IV), pp. 426–431 (2012)