ABSTRACT
One key usage of VANET is to support vehicle safety applications. This use case is characterized by the prominence of broadcasts in scaled settings. In this context, we try to answer the following questions: i) what is the probability of reception of a broadcast message by another car depending on its distance to the sender, ii) how to give priority access and an improved reception rate for important warnings, e.g., sent out in an emergency situation, and iii) how are the above two results affected by signal strength fluctuations caused by radio channel fading? We quantify via simulation the probability of reception for the two-ray-ground propagation model as well as for the Nakagami distribution in saturated environments. By making use of some IEEE 802.11e EDCA mechanisms for priority access, we do not only quantify how channel access times can be reduced but also demonstrate how improved reception rates can be achieved. Our results show that the mechanisms for priority access are successful under the two-way-ground model. However, with a non-deterministic radio propagation model like Nakagami's distribution the benefit is still obvious but the general level of probability of reception is much smaller compared to two-ray-ground model. The results indicate that -- particularly for safety-critical and sensor network type of applications -- the proper design of repetition or multi-hop retransmission strategies represents an important aspect of future work for robustness and network stability of vehicular ad hoc networks.
- Dedicated Short Range Communications working group. http://grouper.ieee.org/groups/scc32/dsrc/index.html.Google Scholar
- The Fleetnet Project. http://www.fleetnet.de.Google Scholar
- The Now: Network on Wheels Project. http://www.network-on-wheels.de.Google Scholar
- Internet ITS Consortium. http://www.internetits.org.Google Scholar
- IEEE Std. 802.11-1999, Part11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications. IEEE Std. 802.11, 1999 edition.Google Scholar
- Network Simulator ns-2. http://www.isi.edu/nsnam/ns/.Google Scholar
- IEEE Std. 802.11a, Supplement to Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Higher-speed Physical Layer the 5 GHz Band, IEEE Std. 802.11a--1999, 1999.Google Scholar
- IEEE 802.11e/D4.4, Draft Supplement to Part 11: Wireless Medium Access Control (MAC) and physical layer (PHY) specifications: Medium Access Control (MAC) Enhancements for Quality of Service (QoS), June 2003.Google Scholar
- M. Takai, J. Martin, and R. Bagrodia. Effects of Wireless Physical Layer Modeling in Mobile Ad Hoc Networks. In Proc. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC), October 2001. Google ScholarDigital Library
- L. F. Perrone, Y. Yuan, and D. M. Nicol. Modeling and Simulation Best Practices for Wireless Ad Hoc Networks. In Proc. Winter Simulation Conference (WSC), December 2003. Google ScholarDigital Library
- M. Meincke, M. Lott, and K. Jobmann. Reservation Conflicts in a Novel Air Interface for Ad Hoc Networks based on UTRA TDD. In Proc. IEEE Semiannual Vehicular Technology Conference (VTC), October 2003.Google ScholarCross Ref
- M. Lott. Performance of a Medium Access Scheme for Inter-Vehicle Communication. In Proc. International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), July 2002.Google Scholar
- J. Deng and R. Chang. A Priority Scheme for IEEE 802.11 DCF Access Model. IEICE Transactions on Communications, Vol. E82-B, No.1, January 1999.Google Scholar
- A. Lindgren, A. Almquist, and O. Schelen. Quality of Service Schemes for IEEE 802.11 Wireless LANs, An Evaluation. Mobile Networks and Applications (MONET) 8, 223--235, 2003. Google ScholarDigital Library
- P. Garg, R. Doshi, R. Greene, M. Baker, M. Malek, and X. Cheng. Using IEEE 802.11e MAC for QoS over Wireless. Technical report, Computer Science Dept., Standford University, 2002.Google Scholar
- S. Choi, J. Prado, S. Shankar, and S. Mangold. IEEE 802.11e Contention-Based Channel Access (EDCF) Performance Evaluation. In Proc. IEEE International Conference of Communcations (ICC), May 2003.Google Scholar
- I. Aad and C. Castelluccia. Differentiation Mechanisms for IEEE 802.11. In Proc. IEEE INFOCOM, Anchorage, Alaska, April 2001.Google ScholarCross Ref
- B. Li and R. Battiti. Performance Analysis of an Enhanced IEEE 802.11 Distributed Coordination Function Supporting Service Differentiation. In Proc. International Workshop on Quality of Future Internet Services (QoFIS), October 2003.Google ScholarCross Ref
- H. Zhu and I. Chlamtac. An Analytical Model for IEEE 802.11e EDCF Differential Services. In Proc. International Conference on Computer Communications and Networks (ICCCN), October 2003.Google ScholarCross Ref
- V. Kanodia, C. Li, A. Sabharwal, B.Sadeghi, and E. Knightly. Ordered Packet Scheduling in Wireless Ad Hoc Networks: Mechanisms and Performance Analysis. In Proc. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC), June 2002. Google ScholarDigital Library
- V. Kanodia, C. Li, A. Sabharwal, B. Sadeghi, and E. Knightly. Distributed Priority Scheduling and Medium Access in Ad Hoc Networks. Wireless Networks 8, 455 466, September 2002. Google ScholarDigital Library
- J. Sheu, C. Liu, S. Wu, and Y. Tseng. A Priority MAC Protocol to Support Real-Time Traffic in Ad Hoc Networks. Wireless Networks 10, 61-69, January 2004. Google ScholarDigital Library
- L. Romdhani, Q. Ni, and T. Turletti. Adaptive EDCF: Enhanced Service Differentiation for IEEE 802.11 Wireless Ad-Hoc Networks. In Proc. IEEE Wireless Communications and Networking Conference (WCNC), March 2003.Google ScholarCross Ref
- M. Raya, J.-P. Hubaux, and I. Aad. DOMINO: A System to Detect Greedy Behavior in IEEE 802.11 Hotspots. In Proc. ACM MobiSys, Boston, June 2004. Google ScholarDigital Library
- W. Zhang and N. Moayeri. Classification of Statistical Channel Models for Local Multipoint Distribution Service Using Antenna Height and Directivity. IEEE 802.16 working group contribution IEEE802.16.1pc-00/07, January 2000.Google Scholar
- M. Nakagami. The m-distribution, a General Formula of Intensity Distribution of the Rapid Fading. Statistical Methods in Radio Wave Propagation, W.G. Hoffman, Ed. Oxford, England: Pergamon, 1960.Google Scholar
- R. Schmitz, M. Torrent-Moreno, H. Hartenstein, and W. Effelsberg. The impact of wireless radio fluctuations on ad hoc network performance. Accepted at IEEE Workshop on Wireless Local Networks (WLN), Tampa, Florida, November 2004.Google Scholar
Index Terms
- Broadcast reception rates and effects of priority access in 802.11-based vehicular ad-hoc networks
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