Abstract
Wireless Sensor Networks (WSN), the essential thing is to beat path selection and duration of VANET framework by most extreme mobility as well as transmission rate. In light of this mobility and connectivity charts changes in all respects as often as possible and it influences the execution of VANETs. Because of the attributes of VANET, for example, self-association, dynamic nature,and quick moving vehicles, routing in this network is an impressive test. This chapter discussed the mobility, just as Quality of Service (QoS) is VANET communication process, Here we are utilized Network Mobility Protocol (NMP) for routing reason, Moreover, the extensive optimization procedure is Salp Swarm Optimization (SA). It’s able to improve the initial random solutions viably and merge towards the optimum, Based on optimization procedure to get an optimal path with a minimum delay from source to destination. From this NMP-SA model improve the high mobility of nodes. The simulation results demonstrate better QOS parameters contrasted with other similar optimization Models.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang, L., Lakas, A., El-Sayed, H., Barka, E.: Mobility analysis in vehicular ad hoc network (VANET). J. Netw. Comput. Appl. 36(3), 1050–1056 (2013)
Chahal, M., Harit, S.: Optimal path for data dissemination in vehicular ad hoc networks using meta-heuristic. Comput. Electr. Eng. 76, 40–55 (2019)
Zhu, W., Gao, D., Fong, A.C.M., Tian, F.: An analysis of performance in a hierarchical structured vehicular ad hoc network. Int. J. Distrib. Sens. Netw. 10(5), 969346 (2014)
Jagannath, J., Furman, S., Jagannath, A., Ling, L., Burger, A., Drozd, A.: HELPER: heterogeneous efficient low power radio for enabling ad hoc emergency public safety network (2019). arXiv:1903.08974
Fahad, M., Aadil, F., Khan, S., Shah, P.A., Muhammad, K., Lloret, J., Wang, H., Lee, J.W., Mehmood, I.: Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Comput. Electr. Eng. 70, 853–870 (2018)
Ding, Z., Ren, P., Du, Q.: Ant colony optimization based delay-sensitive routing protocol in vehicular ad hoc networks. In: International Conference on Internet of Things as a Service, pp. 138 − 148. Springer, Cham (2018)
Lakas, A., Fekair, M.E.A., Korichi, A., Lagraa, N.: A multiconstrained QoS-compliant routing scheme for highway-based vehicular networks. Wirel. Commun. Mobile Comput. 2019
Gaikwad, D.S. and Zaveri, M.: VANET routing protocols and mobility models: a survey. In: Trends in Network and Communications, pp. 334 − 342. Springer, Berlin (2011)
Zeadally, S., Hunt, R., Chen, Y.S., Irwin, A., Hassan, A.: Vehicular ad hoc networks (VANETS): status, results, and challenges. Telecommun. Syst. 50(4), 217–241 (2012)
Radaur, T.J.: Quality of Service and Scalability in Vehicular Ad Hoc Networks
Wahid, I., Ikram, A.U.A., Ahmad, M., Ullah, F.: An improved supervisory protocol for automatic selection of routing protocols in environment-aware vehicular ad hoc networks. Int. J. Distrib. Sens. Netw. 14(11), 1550147718815051 (2018)
Mirjalili, S., Gandomi, A.H., Mirjalili, S.Z., Saremi, S., Faris, H., Mirjalili, S.M.: Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114, 163–191 (2017)
Chen, Y.S., Hsu, C.S., Cheng, C.H.: Network mobility protocol for vehicular ad hoc networks. Int. J. Commun Syst 27(11), 3042–3063 (2014)
Raw, R.S., Toor, V., Singh, N.: Comprehensive study of estimation of path duration in vehicular ad hoc network. In: Advances in Computing and Information Technology, pp. 309 − 317. Springer, Berlin (2013)
Kaur, S., Aseri, T.C. and Rani, S.: QoS-Aware routing in vehicular ad hoc networks using ant colony optimization and bee colony optimization. In: Proceedings of 2nd International Conference on Communication, Computing and Networking, pp. 251 − 260. Springer, Singapore (2019)
Halim, A.H.A., Warip, M.M., Ahmad, R.B., Elias, S.J.: Optimization of vehicular ad hoc network using taguchi method. In: 2015 International Conference on Computer, Communications, and Control Technology (I4CT), pp. 147 − 151. IEEE (2015)
Umer, T., Amjad, M., Shah, N., Ding, Z.: Modeling vehicles mobility for connectivity analysis in VANET. In: Intelligent Transportation Systems, pp. 221 − 239. Springer, Cham (2016)
Shankar, K., Elhoseny, M., Chelvi, E.D., Lakshmanaprabu, S.K., Wu, W.: An efficient optimal key based chaos function for medical image security. IEEE Access 6, 77145–77154 (2018)
Elhoseny, M., Shankar, K., Lakshmanaprabu, S. K., Maseleno, A., Arunkumar, N.: Hybrid optimization with cryptography encryption for medical image security in Internet of Things. In: Neural Computing and Applications, pp. 1 − 15. (2018) https://doi.org/10.1007/s00521-018-3801-x
Shankar, K., Elhoseny, M., Kumar, R.S., Lakshmanaprabu, S.K., Yuan, X.: Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique. J. Ambient Intell. Humanized Comput. 1 − 13 (2018). https://doi.org/10.1007/s12652-018-1161-0
Gaber, T., Abdelwahab, S., Elhoseny, M., Hassanien, A.E.: Trust-based secure clustering in WSN-based intelligent transportation systems. Comput. Netw. https://doi.org/10.1016/j.comnet.2018.09.015 (2018). Accessed 17 Sept 2018
Mohamed, R.E., Ghanem, W.R., Khalil, A.T., Elhoseny, M., Sajjad, M., Mohamed, M.A.: Energy efficient collaborative proactive routing protocol for wireless sensor network. Comput. Netw. https://doi.org/10.1016/j.comnet.2018.06.010 (2018). Accessed 19 June 2018
Elhoseny, Mohamed, Tharwat, Alaa, Yuan, Xiaohui, Hassanien, A.E.: Optimizing K-coverage of mobile WSNs. Expert Syst. Appl. 92, 142–153 (2018)
Elsayed, Walaa, Elhoseny, Mohamed, Sabbeh, Sahar, Riad, Alaa: Self-maintenance model for wireless sensor networks. Comput. Electr. Eng. 70, 799–812 (2018)
Elhoseny, M., Tharwat, A., Farouk, A., Hassanien, A.E.: K-coverage model based on genetic algorithm to extend WSN lifetime. IEEE Sens. Lett. 1(4), 1 − 4 (2017). IEEE
Elhoseny, M., Farouk, A., Zhou, N., Wang, M.-M., Abdalla, S., Batle, J.: Dynamic multi-hop clustering in a wireless sensor network: performance improvement. Wirel. Pers. Commun. 95(4), 3733 − 3753
Elhoseny, M., Yuan, X., Yu, Z., Mao, C., El-Minir, H., Riad, A.: Balancing energy consumption in heterogeneous wireless sensor networks using genetic algorithm. IEEE Commun. Lett. IEEE 19(12), 2194–2197 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Shankar, K., Ilayaraja, M., Sathesh Kumar, K., Perumal, E. (2020). Mobility and QoS Analysis in VANET Using NMP with Salp Optimization Models. In: Elhoseny, M., Hassanien, A. (eds) Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks. Studies in Systems, Decision and Control, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-030-22773-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-22773-9_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22772-2
Online ISBN: 978-3-030-22773-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)