Abstract
In vehicular ad hoc networks (VANETs), broadcast communication is an effective approach to disseminate the safety-related messages to inform the neighboring vehicles. However, the characteristics of broadcast environments lead to poor reliability of the messages. This paper focuses on the comprehensive evaluation to investigate the performance of the safety-related applications, from which we could obtain the optimum performance and ensure quality of service of VANETs. The proposed comprehensive evaluation scheme comprises three parts, with the first applying an analytic hierarchy process (AHP) to decide the relative weights of access categories according to the user preferences, i.e. safety-related applications; the second using the entropy and its combination with AHP to determine the weights of performance metrics; and the third adopting the grey relation analysis to rank the alternatives. The analysis results show that the proposed comprehensive evaluation scheme can obtain the optimum performance and also effectively investigate on capabilities and constraints of VANETs.
Similar content being viewed by others
References
Figueiredo, L., Jesus, I., Machado, J., Ferreira, J., & Martins de Carvalho, J. (2001). Towards the development of intelligent transportation systems. In Proceedings of IEEE intelligent transportation systems (pp. 1206–1211).
Dar, K., Bakhouya, M., Gaber, J., Wack, M., & Lorenz, P. (2010). Wireless communication technologies for ITS applications. IEEE Communications Magazine, 5(48), 156–162.
IEEE standard for information technology—Telecommunications and information exchange between systems—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.
Yao, Y., Rao, L., & Liu, X. (2013). Performance and reliability analysis of IEEE 802.11p safety communication in a highway environment. IEEE Transactions on Vehicular Technique, 62(9), 4198–4212.
Cheng, H. T., Shan, H., & Zhang, W. (2011). Information and road safety service support in vehicular networking: Form a communication perspective. Mechanical Systtems and Signal Process, 25(6), 2020–2038.
Gukhool, B. S., & Cherkaoui, S. (2008). IEEE 802.11p modeling in NS-2. 33rd IEEE Conference on Local Computer Networks (LCN) (pp.622–626).
Murray, T., Cojocari, M., & Huirong, F.(2008). Measuring the performance of IEEE 802.11p using ns-2 simulator for vehicular networks. IEEE International Conference on Electro/Information Technology (EIT) (pp.498–503).
Han, C., Dianati, M., Tafazollir, R., Kernchen, R., & Shen, X. (2012). Analytical study of the IEEE 802.11p MAC sublayer in vehicular networks. IEEE Transactions on Intelligent Transportation Systems, 99, 1–14.
Campolo, C., Vinel, A., & Mollinaro, A. (2011). Modeling broadcasting in IEEE 802.11p/WAVE vehicular networks. IEEE Communications Letter, 15(2), 199–201.
Fallah, Y. P., Huang, C. L., Sengupta, R., & Krishnan, H. (2011). Analysis of information dissemination in vehicular ad-hoc networks with application to cooperative vehicle safety systems. IEEE Transactions Vehicular Technique, 60(1), 233–247.
Sun, W., Zhang, H., Pan, C., & Yang, J.(2013). Analytical study of the IEEE 802.11p EDCA mechanism. Intelligent vehicles symposium (IV) (pp. 1428–1433).
Woo, R., Song, J., & Han, D. S. (2013). Performance analysis for priority-based broadcast in vehicular networks. International Journal of Distributed Sensor Networks, 1–9.
Xu, X. (2004). A note on the subjective and objective integrated approach to determine attribute weights. European Journal of Operation research, 156, 530–532.
Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of analytical hierarchy process. New York: NY, USA.
Rao, R. V. (2007). Decision making in the manufacturing environment: Using graph theory and fuzzy multiple attribute decision making methods. London: Springer-Verlag.
Wang, L. S., & Binet, D.(2009). Trust: A trigger-based automatic subjective weighting method for network selection. In Proceedings of 5th advanced international conference on Telecommunications (pp. 24–28).
Xie, C., Dong, D., Hua, S., Xu, X., & Chen, Y. (2012). Safety evaluation of smart grid based on AHP-entropy method. Systems Engineering Procedia, 4, 203–209.
Yu, Y., Wu, Y., Yu, N., & Wan, J. (2012). Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation. Systems conference (SysCon) (pp. 19–22).
Halil, Ç. (2013). Selection of boron based tribological hard coatings using multi-criteria decision making methods. Materials and Design, 50, 742–749.
Shi, Z., & Zhu, Q. (2012). Network selection based on multiple attribute decision making and group decision making for heterogeneous wireless networks. The Journal of China Universities of Posts and Telecommunications, 19(5), 92–98.
Chamodrakas, I., & Martakos, D. (2011). A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks. Applied Soft Computing, 11(4), 3734–3743.
Yang, S., & Tseng, W. (2013). Design novel weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks. Computer Communications, 36(14), 1498–1514.
Stevens-Navarro, E., & Wong, V. W. S. (2006). Comparison between vertical handoff decision algorithms for heterogeneous wireless networks. IEEE vehicular technology conference (pp. 947–951).
Ahuja, K., Singh, B., & Khanna, R. (2014). Network selection based on weigh estimation of QoS parameters in heterogeneous wireless multimedia networks. Wireless Personal Communications, 7, 3027–3040.
Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: Methods and applications. USA: CRC Press.
Lu, M., & Wevers, K. (2007). Application of grey relational analysis for evaluating road traffic safety measures: Advanced driver assistance systems against infrastructure redesign. IET Intelligent Transport Systems, 1(1), 3–14.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–97.
Li, X., Wang, K., Liu, L., Xin, J., Yang, H., & Gao, C. (2011). Application of the entropy weighting and TOPSIS method in safety evaluation of coal mines. Procedia Engineering, 26, 2085–2091.
Acknowledgments
This research was supported by the National Natural Science Foundation of China under Grant 61174179.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sun, W., Zhang, HS., Pan, C. et al. Comprehensive Performance Evaluation of VANETs for Safety-Related Applications. Wireless Pers Commun 83, 3017–3031 (2015). https://doi.org/10.1007/s11277-015-2579-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-015-2579-8