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CMS: Application Layer Cooperative Congestion Control for Safety Messages in Vehicular Networks 원문보기

KSII Transactions on internet and information systems : TIIS, v.12 no.3, 2018년, pp.1152 - 1167  

Lee, Kyu-haeng (Software R&D Center, Samsung Electronics)

Abstract AI-Helper 아이콘AI-Helper

In this paper, I propose an application layer cooperative congestion control scheme for safety message broadcast in vehicular networks, called CMS, that adaptively controls a vehicle's safety message rate and transmit timing based on the channel congestion state. Motivated by the fact that all vehic...

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제안 방법

  • In this paper, I propose a new cooperative congestion control scheme, called CMS, that adaptively controls a vehicle’s safety message rate and transmit timing based on the channel congestion state.
  • I denote the number of hidden vehicles as Nhvs, and it can be computed by Neffs - Ns. Second, for the transmit probabilities of other vehicles, I apply the same probability with vehicle v to them, based on the study result of PULSAR [5]; the authors show that it is possible to synchronize the channel congestion state (e.g., CBR) of all vehicles within two hops by performing inter-vehicle message exchanges during two sliding windows.

이론/모형

  • An intersection scenario with 6-lane roads is evaluated, with the width of each road set to 3 m. In this scenario, a two-ray ground propagation loss model is used. At beginning, V vehicles are randomly distributed in the roads, and then start to move along the road at random speed ranging from 0 to 80 km/h.
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참고문헌 (21)

  1. "IEEE 1609 - Family of Standards for Wireless Access in Vehicular Environments (WAVE)," IEEE Std 1609.0-2013. 

  2. "ETSI ITS-G5 - EN 302 663 Intelligent Transport Systems (ITS); Access layer specification for Intelligent Transport Systems operating in the 5 GHz frequency band." 

  3. "Intelligent Transport System - Decentralized Congestion Control." 

  4. G. Bansal, J. B. Kenney, and C. E. Rohrs, "LIMERIC: A Linear Adaptive Message Rate Algorithm for DSRC Congestion Control," IEEE Transactions on Vehicular Technology, vol. 62, no. 9, pp. 4182-4197, Nov 2013. 

  5. T. Tielert, D. Jiang, Q. Chen, L. Delgrossi, and H. Hartenstein, "Design methodology and evaluation of rate adaptation based congestion control for Vehicle Safety Communications," in Proc. of 2011 IEEE Vehicular Networking Conference (VNC), Nov 2011. 

  6. Y. Zang, L. Stibor, B. Walke, H. J. Reumerman, and A. Barroso, "A Novel MAC Protocol for Throughput Sensitive Applications in Vehicular Environments," in Proc. of 2007 IEEE 65th Vehicular Technology Conference-VTC2007-Spring, Apr 2007. 

  7. H. A. Omar, W. Zhuang, and L. Li, "VeMAC: A TDMA-Based MAC Protocol for Reliable Broadcast in VANETs," IEEE Transactions on Mobile Computing, vol. 12, no. 9, pp. 1724-1736, Sep 2013. 

  8. V. Nguyen, T. Z. Oo, P. Chuan, and C. S. Hong, "An Efficient Time Slot Acquisition on the Hybrid TDMA/CSMA Multichannel MAC in VANETs," IEEE Communications Letters, vol. 20, no. 5, pp. 970-973, May 2016. 

  9. Y. Park and H. Kim, "Collision Control of Periodic Safety Messages With Strict Messaging Frequency Requirements," IEEE Transactions on Vehicular Technology, vol. 62, no. 2, pp. 843-852, Feb 2013. 

  10. "IEEE Standard for Information technology-- Local and metropolitan area networks-- Specific requirements-- Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 6: Wireless Access in Vehicular Environments," IEEE Std 802.11p-2010. 

  11. M. Ni, Z. Zhong, and D. Zhao, "A novel multichannel multiple access protocol for vehicular ad hoc networks," in Proc. of 2012 IEEE International Conference on Communications (ICC), Jun 2012. 

  12. D. N. M. Dang, C. S. Hong, S. Lee, and E. N. Huh, "An Efficient and Reliable MAC in VANETs," IEEE Communications Letters, vol. 18, no. 4, pp. 616-619, Apr 2014. 

  13. Q. Wang, S. Leng, H. Fu, and Y. Zhang, "An IEEE 802.11p-Based Multichannel MAC Scheme With Channel Coordination for Vehicular Ad Hoc Networks," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 2, pp. 449-458, Jun 2012. 

  14. T. Tsuboi, J. Yamada, N. Yamauchi, and M. Hayashi, "Dual Receiver Communication System for DSRC," in Proc. of 2008 Second International Conference on Future Generation Communication and Networking, Dec 2008. 

  15. Y. Kim, Y. H. Bae, D. S. Eom, and B. D. Choi, "Performance Analysis of a MAC Protocol Consisting of EDCA on the CCH and a Reservation on the SCHs for the IEEE 802.11p/1609.4 WAVE," IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 5160-5175, 2017. 

  16. S. Moser, L. Behrendt, and F. Slomka, "MIMO-enabling PHY layer enhancement for vehicular ad-hoc networks," in Proc. of IEEE Wireless Communications and Networking Conference Workshops, Mar 2015. 

  17. T. K. Mak, K. P. Laberteaux, R. Sengupta, and M. Ergen, "Multichannel Medium Access Control for Dedicated Short-Range Communications," IEEE Transactions on Vehicular Technology, vol. 58, no. 1, pp. 349-366, Jan 2009. 

  18. S. Boyd and L. Vandenberghe, "Convex optimization," Cambridge university press, 2004. 

  19. "NS-3." [Online]. 

  20. X. Jiang and D. H. C. Du, "PTMAC: A Prediction-Based TDMA MAC Protocol for Reducing Packet Collisions in VANET," IEEE Transactions on Vehicular Technology, vol. 65, no. 11, pp. 9209-9223, Nov 2016. 

  21. A. Balador and A. Bohm and C. T. Calafate and J. C. Cano, "A reliable token-based MAC protocol for V2V communication in urban VANET," in Proc. of 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Sep 2016. 

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