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Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC

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Abstract

Nodes in vehicular ad-hoc network (VANET) are highly mobile, traversing in unpredictable and varying environment. Therefore, contention window size and transmission power should adapt according to the high mobility transmission environment. In this paper, we propose an adaptive VANET medium access control (MAC) layer with joint optimization for VANET (MACVS) which aims at minimizing average delay and maximizing packet success rate. An adaptive joint optimization with proposed threshold structure dynamic programming, with closed loop feedback control system, is designed to optimize contention window size and transmission power. Adaptive optimization is done based on road traffic conditions and transmission reliable distance range (depicted by interference and noise), by monitoring the continuous change and threshold of received signal strength to interference and noise ratio. Mathematical expressions have been developed for the MACVS optimization framework, and the produced analytical results show good agreement with the simulation results. Simulations with different arrival rates and urban map of city center show that the proposed MACVS with low complexity joint optimization effectively reduces end-to-end delay while achieving high packet success rate under various network traffic condition.

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Abbreviations

VANET:

Vehicular adhoc network

MAC:

Medium access control

SINR:

Signal to noise and interference ratio

DP:

Dynamic programming

TRDR:

Transmission reliable distance range

MACVS:

Adaptive VANET MAC with joint optimization

EDCA:

Enhanced distributed channel access

MarPVS:

Markov distance prediction with new priority VANET scheme

QoS:

Quality of service

CW:

Contention window size

References

  1. Karedal, J., Czink, N., Paier, A., Tufvesson, F., & Molisch, A. F. (2011). Path loss modeling for vehicle-to-vehicle communications. IEEE Transactions on Vehicular Technology, 60(1), 323–328.

    Article  Google Scholar 

  2. Park, Y., & Kim, H. (2013). Collision control of periodic safety messages with strict messaging frequency requirements. IEEE Transactions on Vehicular Technology, 62(2), 843–852.

    Article  Google Scholar 

  3. Deng, D.-J., Chen, H.-C., Chao, H.-C., & Huang, Y.-M. (2011). A collision alleviation scheme for IEEE 802.11p VANETs. Wireless Personal Communication, 372–383.

  4. Rawat, D. B., Popescu, D. C., Yan, G., & Olariu, S. (2011). Enhancing VANET performance by joint adaptation of transmission power and contention window size. IEEE Transactions on Parallel and Distributed Systems, 22(9), 1–8.

    Article  Google Scholar 

  5. Liu, J., Wan, J., Wang, Q., Deng, P., Zhou, K., & Qiao, Y. (2015). A survey on position-based routing for vehicular ad hoc networks. Telecommunication Systems. doi:10.1007/s11235-015-9979-7.

    Google Scholar 

  6. Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. INFOCOM, 2012, 100–108.

    Google Scholar 

  7. Yen, Y.-S., Chao, H.-C., Chang, R.-S., & Vasilakos, A. (2011). Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs. Mathematical and Computer Modelling, 53(11–12), 2238–2250.

    Article  Google Scholar 

  8. Spyropoulos, T., Rais, R. N. B., Turletti, T., Obraczka, K., & Vasilakos, A. (2010). Routing for disruption tolerant networks: Taxonomy and design. Wireless Networks, 16(8), 2349–2370.

    Article  Google Scholar 

  9. 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.

    Article  Google Scholar 

  10. Xiao, Y., Peng, M., Gibson, J., Xie, G. G., Du, D.-Z., & Vasilakos, A. V. (2012). Tight performance bounds of multihop fair access for mac protocols in wireless sensor networks and underwater sensor networks. IEEE Transaction on Mobile Computing, 11(10), 1538–1554.

    Article  Google Scholar 

  11. Vasilakos, A., Ricudis, C., Anagnostakis, K., & Pedryca, W. (1998). Evolutionary-fuzzy prediction for strategic QoS routing in broadband networks. The 1998 IEEE international conference on fuzzy systems proceedings, vol. 2, pp. 1488–1493.

  12. Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.

    Article  Google Scholar 

  13. Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. (2015). Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers, 99(1), 1.

    Article  Google Scholar 

  14. Booysen, M. J., Zeadally, S., & Van Rooyen, G.-J. (2011). Survey of media access control protocols for vehicular ad hoc networks. IET Communication, 5(11), 1619–1631.

    Article  Google Scholar 

  15. Gozalvez, J., Sepulcre, M., & Bauza, R. (2011). Impact of the radio channel modelling on the performance of VANET communication protocols. Telecommunication System, 50, 149–167.

    Article  Google Scholar 

  16. Minghui, Z., & Huiqing, Z. (2010). Research on model of indoor distance measurement based on receiving signal strength. 2010 International conference on computer design and applications, vol. 5, pp. 54–58.

  17. Duarte, P. B. F., Fadlullah, Z. M., Vasilakos, A. V., & Kato, N. (2012). On the partially overlapped channel assignment on wireless mesh network backbone: A game theoretic approach. IEEE Journal on Selected Areas in Communications, 30(1), 119–127.

    Article  Google Scholar 

  18. Liu, J., Wan, J., Wang, Q., Li, D., Qiao, Y., & Cai, H. (2015). A novel energy-saving one-sided synchronous two-way ranging algorithm for vehicular positioning. Mobile Networks and Applications. doi:10.1007/s11036-015-0604-5.

    Google Scholar 

  19. Vasilakos, A. V., Zhang, Y., & Spyropoulos, T. (2012). Delay tolerant networks: Protocols and applications. Boca Raton: CRC Press.

    Google Scholar 

  20. Li, M., Li, Z., & Vasilakos, A. V. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–2557.

    Article  Google Scholar 

  21. Yao, Y., Cao, Q., & Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. MASS, 2013, 182–190.

    Google Scholar 

  22. Xiang, L., Luo, J., & Vasilakos, A. V. (2011). Compressed data aggregation for energy efficient wireless sensor networks. SECON, 2011, 46–54.

    Google Scholar 

  23. Campolo, C., Molinaro, A., Vinel, A., & Zhang, Y. (2012). Modeling prioritized broadcasting in multichannel vehicular networks. IEEE Transaction on Vehicular Technology, 61(2), 687–701.

    Article  Google Scholar 

  24. Wang, X., Vasilakos, A. V., Chen, M., Liu, Y., & Kwon, T. T. (2012). A survey of green mobile networks: Opportunities and challenges. MONET., 17(1), 4–20.

    Google Scholar 

  25. Chenga, H., Xiong, N., Vasilakos, A. V., Yang, L. T., Chen, G., & Zhuang, X. (2012). Nodes organization for channel assignment with topology preservation in multi-radio wireless mesh networks. Ad Hoc Networks, 10(5), 760–773.

    Article  Google Scholar 

  26. Attar, A., Tang, H., Vasilakos, A. V., Yu, F. R., & Leung, V. C. M. (2012). A survey of security challenges in cognitive radio networks: Solutions and future research directions. Proceedings of the IEEE, 100(12), 3172–3186.

    Article  Google Scholar 

  27. Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.

    Article  Google Scholar 

  28. He, Y., Sun, J., Ma, X., Vasilakos, A. V., Yuan, R., & Gong, W. (2013). Semi-random backoff towards resource reservation for channel access in wireless LANs. IEEE/ACM Transaction on Network, 21(1), 204–217.

    Article  Google Scholar 

  29. Kassotakis, I. E., Markaki, M. E., & Vasilakos, A. V. (2000). A hybrid genetic approach for channel reuse in multiple access telecommunication networks. IEEE Journal on Selected Areas in Communications, 18(2), 234–243.

    Article  Google Scholar 

  30. Cheng, X., Wang, C.-X., Laurenson, D. I., Salous, S., & Vasilakos, A. V. (2009). An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels. IEEE Transactions on Wireless Communications, 8(9), 4824–4835.

    Article  Google Scholar 

  31. Zhou, L., Chao, H.-C., & Vasilakos, A. V. (2011). Joint forensics-scheduling strategy for delay-sensitive multimedia applications over heterogeneous networks. IEEE Journal on Selected Areas in Communications, 29(7), 1358–1367.

    Article  Google Scholar 

  32. Zhou, L., Xiong, N., Shu, L., Vasilakos, A. V., & Yeo, S.-S. (2014). Context-aware vehicular cyber-physical systems with cloud support: Architecture, challenges and solutions. IEEE Communications Magazine, 52(8), 106–113.

    Article  Google Scholar 

  33. Vasilakos, A. V., Papadimitriou, G. I., & Paximadis, C. T. (1995). A new approach to the design of reinforcement schemes for learning automata: Stochastic estimator learning algorithm. Neurocomputing, 7(3), 275–297.

    Article  MATH  Google Scholar 

  34. Zhang, Z., Wang, H., Vasilakos, A. V., & Fang, H. (2012). ECG-cryptography and authentication in body area networks. IEEE Transactions on Information Technology in Biomedicine, 16(6), 1070–1078.

    Article  Google Scholar 

  35. Vinel, A., Campolo, C., Petit, J., & Koucheryavy, Y. (2011). Trustworthy broadcasting in IEEE 802.11p/WAVE vehicular networks: Delay analysis. IEEE Communications Letters, 15(9), 1010–1012.

    Article  Google Scholar 

  36. Almalag, M. C., Weigle, M. S., & Olariu, S. (2013). MAC protocols for VANET. In S. Basagni, M. Conti, S. Giordano, & I. Stojrnenovic (Eds.), Mobile ad hoc networking: Cutting edge directions (2nd ed.). The Institute of Electrical and Electronics Engineers.

  37. Lim, J. M.-Y., Chang, Y. C., Alias, M. Y., & Loo, J. (2015). Performance modelling of adaptive VANET scheme with priority based on distance and data type, KSII. Transaction on Internet and Information Systems, 9(4), 1337–1358.

    Google Scholar 

  38. Lim, J. M.-Y., Chang, Y. C., Alias, M. Y., & Loo, J. (2014). Cognitive VANET with enhanced priority scheme. International conference on telecommunications and multimedia (TEMU2014), June 2014.

  39. Marler, R. T., & Arora, J. S. (2004). Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 26(6), 369–395.

    Article  MathSciNet  MATH  Google Scholar 

  40. Tomas-Gabarr, J.-B., Egea-Lopez, E., & Garcia-Haro, J. (2013). Vehicular trajectory optimization for cooperative collision avoidance at high speeds. IEEE Transactions on Intelligent Transportation Systems, 14(4), 1930–1941.

    Article  Google Scholar 

  41. Khabazian, M., Aissa, S., & Mehmet-Ali, M. (2011). Performance modelling of message dissemination in vehicular ad hoc networks with priority. IEEE Journal on Selected Areas in Communications, 29(1), 61–71.

    Article  Google Scholar 

  42. Xu, J., Liu, W., Lang, F., Zhang, Y., & Wang, C. (2011). Distance measurement model based on RSSI in WSN. Wireless Sensor Network, 2, 606–611.

    Article  Google Scholar 

  43. 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.

    Article  Google Scholar 

  44. Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Communications Magazine, 51(7), 107–113.

    Article  Google Scholar 

  45. Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion + dilation in networks via “quality of routing” games. IEEE Transaction Computers, 61(9), 1270–1283.

    Article  MathSciNet  Google Scholar 

  46. Sommer, C., German, R., & Dressler, F. (2011). Bidirectionally coupled network and road traffic simulation for improved IVC analysis. IEEE Transactions on Mobile Computing, 10(1), 3–15.

    Article  Google Scholar 

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Acknowledgments

This research was funded in part by Motorola Mobility.

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Correspondence to Joanne Mun-Yee Lim.

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Lim, J.MY., Chang, Y.C., Alias, M.Y. et al. Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC. Wireless Netw 22, 897–913 (2016). https://doi.org/10.1007/s11276-015-1009-x

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