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CPAODV: Classifying and Assigning 3 Level Preference to the Nodes in VANET Using AODV Based CBAODV Algorithm

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Intelligent Computing Paradigm and Cutting-edge Technologies (ICICCT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 9))

Abstract

Vehicles communicate with nearby vehicles to share high routing and traffic information in Vehicular Ad hoc Networks (VANETs) environment. Congestion and Delay in the transmission may occur due to the density of the nodes in the network. Traffic condition depends on the vehicles in Rural and Urban environment. Increase or Decrease in vehicle’s speed makes significant network changes when compared to the MANET environment. Road Side Terminals (RSTs) plays a major role in bridging the connection between the sender and the receiver nodes. The traditional AODV algorithm performs better when there are shortest path and link lifetime between the nodes in VANET. Giving 3 Level Preference to the nodes as High Preference (HP), Average Preference (AP) and Less Preference (LP) gives chances to nodes that have High Preference when compared to Less Preference. CPAODV model is proposed by implementing Classifying and giving preference to the RREQ to mitigate latency to the nodes. RST sends RREQ wisely based on the early model of Route Discovery stage itself. NS2 Simulator is used to analyze the strength of the proposed algorithm using QoS metrics like Throughput, Packet Delivery Ratio and End to End delay. This proposed CPAODV method performs better when compared to traditional AODV and CBAODV algorithm.

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References

  1. Hasrouny, H., Samhat, A.E., Bassil, C., Laouiti, A.: VANet security challenges and solutions: a survey. Veh. Commun. 7, 7–20 (2017)

    Google Scholar 

  2. Gong, H., He, K., Yingchun, Q., Wang, P.: Analysis and improvement of vehicle information sharing networks. Phys. A: Stat. Mech. Appl. 452, 106–112 (2016)

    Article  Google Scholar 

  3. Zhang, E., Zhang, X.: Road traffic congestion detecting by VANETs. In: 2nd International Conference on Electrical and Electronic Engineering (EEE 2019). Atlantis Press (2019)

    Google Scholar 

  4. Arulkumar, N., George Dharma Prakash Raj, E.: CBAODV: an enhanced reactive routing algorithm to reduce connection breakage in VANET. In: Suresh, L., Dash, S., Panigrahi, B. (eds.) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol. 325. Springer, New Delhi (2015)

    Google Scholar 

  5. Al Mallah, R., Quintero, A., Farooq, B.: Distributed classification of urban congestion using VANET. IEEE Trans. Intell. Transp. Syst. 18(9), 2435–2442 (2017)

    Article  Google Scholar 

  6. Jawhar, I., Mohamed, N., Al-Jaroodi, J., Agrawal, D.P., Zhang, S.: Communication and networking of UAV-based systems: Classification and associated architectures. J. Netw. Comput. Appl. 84, 93–108 (2017)

    Article  Google Scholar 

  7. Rayeni, M.S., Hafid, A., Sahu, P.K.: Dynamic spatial partition density-based emergency message dissemination in VANETs. Veh. Commun. 2(4), 208–222 (2015)

    Google Scholar 

  8. Santamaria, A.F., Sottile, C., Fazio, P.: PAMTree: partitioned multicast tree protocol for efficient data dissemination in a VANET environment. Int. J. Distrib. Sens. Netw. 11(5) (2015). https://doi.org/10.1155/2015/431492

    Article  Google Scholar 

  9. Selvi, M., Ramakrishnan, B.: An efficient message prioritization and scheduled partitioning technique for emergency message broadcasting in VANET. In: 2018 3rd International Conference on Communication and Electronics Systems (ICCES), pp. 776–781. IEEE (2018)

    Google Scholar 

  10. Arora, P.O.: Reliable emergency message dissemination in VANET using hybrid partitioning approach. In: 2018 International Conference on Communication and Signal Processing (ICCSP), pp. 0672–0677. IEEE (2018)

    Google Scholar 

  11. Ali, G.G.Md.N., Chong, P.H.J., Samantha, S.K., Chan, E.: Efficient data dissemination in cooperative multi-RSU vehicular ad hoc networks (VANETs). J. Syst. Softw. 117, 508–527 (2016)

    Google Scholar 

  12. Samanta, D., Podder, S.K.: Level of green computing based management practices for digital revolution and new India. Int. J. Eng. Adv. Technol. (IJEAT), 8(3S) (2019). ISSN 2249–8958

    Google Scholar 

  13. Sivakumar, P., Nagaraju, R., Samanta, D., Sivaram, M., HindiaIraj, N., Amiri, S.: A novel free space communication system using nonlinear InGaAsP microsystem resonators for enabling power-control toward smart cities. Wirel. Netw. J. Mob. Commun. Comput. Inf. ISSN 1022-0038

    Google Scholar 

  14. Mahua, B., Podder, S.K., Shalini, R., Samanta, D.: Factors that influence sustainable education with respect to innovation and statistical science. Int. J. Recent. Technol. Eng. 8(3). ISSN 2277-3878

    Google Scholar 

  15. Praveen, B., Umarani, N., Anand, T., Samanta, D.: Cardinal digital image data fortification expending steganography. Int. J. Recent. Technol. Eng. 8(3) (2019). ISSN 2277-3878

    Google Scholar 

  16. Dhanush, V., Mahendra, A.R., Kumudavalli, M.V., Samanta, D.: Application of deep learning technique for automatic data exchange with air-gapped systems and its security concerns. In: Proceedings of IEEE International Conference on Computing Methodologies and Communication, Erode, 18–19 July 2017

    Google Scholar 

  17. Kumar, R., Kumar, R.: Samanta, D., Paul, M., Vijaya Kumar, C.M.: A combining approach using DFT and FIR filter to enhance impulse response. In: Proceedings of IEEE International Conference on Computing Methodologies and Communication, Erode, 18–19 July 2017

    Google Scholar 

  18. Ghosh, G., Samanta, D., Paul, M., Kumar Janghel, N.: Hiding based message communication techniques depends on divide and conquer approach. In: Proceedings of IEEE International Conference on Computing Methodologies and Communication, Erode, 18–19 July 2017

    Google Scholar 

  19. Singh, R.K., Begum, T., Borah, L., Samanta, D.: Text encryption: character jumbling. In: Proceedings of IEEE International Conference on Inventive Systems and Control, Coimbatore, 19–20 January 2017. IEEE

    Google Scholar 

  20. Kumar, N.A., George Dharma Prakash Raj, E.: VCS-RSCBAODV: vehicular cloud storage concepts for RSCBAODV protocol to reduce connection breakage in VANET. Adv. Comput. Sci. Int. J. 4(3), 147–153 (2015)

    Google Scholar 

  21. Choksi, Y., Tandel, P., Khatri, T.: AODV modification to address link breakage issue: a review. In: 2017 International Conference on Trends in Electronics and Informatics (ICEI), pp. 576–578. IEEE (2017)

    Google Scholar 

  22. Wang, S., Yao, N.: A RSU-aided distributed trust framework for pseudonym-enabled privacy preservation in VANETs. Wirel. Netw. 25(3), 1099–1115 (2019)

    Article  Google Scholar 

  23. Nabil, M., Hajami, A., Haqiq, A.: A stable route prediction and the decision taking at sending a data packet in a highway environment. In: Proceedings of the 2nd International Conference on Big Data, Cloud and Applications, p. 66. ACM (2017)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Christ (Deemed to be University), Bangalore, India

    N. Arulkumar

  2. Department of Computer Network, Lebanese French University, Erbil, KR, Iraq

    Mohammed Gouse Galety

  3. Department of Computer Applications, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India

    A. Manimaran

Authors
  1. N. Arulkumar
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  2. Mohammed Gouse Galety
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  3. A. Manimaran
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Corresponding author

Correspondence to N. Arulkumar .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, Australia

    Lakhmi C. Jain

  2. CSIE Department, National Dong Hwa University, New Taipei City, Taiwan

    Sheng-Lung Peng

  3. Al-Balqa’ Applied University, Salt, Jordan

    Basim Alhadidi

  4. Department of Computer Science, Brainware University, Kolkata, West Bengal, India

    Souvik Pal

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Arulkumar, N., Galety, M.G., Manimaran, A. (2020). CPAODV: Classifying and Assigning 3 Level Preference to the Nodes in VANET Using AODV Based CBAODV Algorithm. In: Jain, L., Peng, SL., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2019. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-38501-9_42

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