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Efficient caching strategy in content-centric networking for vehicular ad-hoc network applications

Efficient caching strategy in content-centric networking for vehicular ad-hoc network applications

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Recently, content-centric networking (CCN) has been proposed as a promising solution for content distribution in vehicular ad-hoc networks (VANETs) owing to its named-data routing and in-network caching characteristics. In this network, the caching strategies are performed in the intermediate nodes, and even in the vehicular storage space. However, the typically existing caching strategies have indicated the low stored contents efficiency due to the peculiarities of VANET environment, like cache redundancy, high mobility, rapidly changing topology, and limited vehicular storage space. In this study, the authors proposed an efficient caching strategy in vehicle-to-vehicle scenario through CCN, which considers the requirements of different types of applications, the crucial features of data, and the peculiarities of the vehicular network (e.g. content popularity, cache occupancy, the stability link of the vehicles, and user's preference). Each vehicle makes its caching decision independently to improve the cache space and efficient use of the stored contents corresponding to the requirements of different application types. Simulation results validate that the proposed strategy outperforms other caching strategies in terms of reducing data retrieval delay, increasing cache hit ratio, and improving the cache performance on the vehicles.

References

    1. 1)
      • 1. Amadeo, M., Campolo, C., Molinaro, A.: ‘Information-centric networking for connected vehicles: a survey and future perspectives’, IEEE Commun. Mag., 2016, 54, (2), pp. 98104.
    2. 2)
      • 2. Jacobson, V., Smetters, D.K., Thornton, J.D., et alNetworking named content’, Commun. ACM, 2012, 55, (1), pp. 117124.
    3. 3)
      • 3. CCNx protocol. Available at http://www.ccnx.org.
    4. 4)
      • 4. Zhang, L., Estrin, D., Burke, J., et al: ‘Named data networking (NDN) project. PARC’. Tech. Rep. NDN-001, October 2010.
    5. 5)
      • 5. Grassi, G., Pesavento, D., Pau, G., et al: ‘Navigo: Interest forwarding by geolocations in vehicular named data networking’. 2015 IEEE 16th Int. Symp. on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, USA, 2015, pp. 110.
    6. 6)
      • 6. Bian, C., Zhao, T., Li, X., et al: ‘Boosting named data networking for efficient packet forwarding in urban vanet scenarios’. The 21st IEEE Int. Workshop on Local and Metropolitan Area Networks, Beijing, China, 2015, pp. 16.
    7. 7)
      • 7. Xu, C., Quan, W., Vasilakos, A.V., et al: ‘Information-centric cost-efficient optimization for multimedia content delivery in mobile vehicular networks’, Comput. Commun., 2017, 99, (Supplement C), pp. 93106.
    8. 8)
      • 8. Urueña, M., Soto, I., Martinez-yelmo, I., et al: ‘Effect of content popularity, number of contents and a cellular backup network on the performance of content distribution protocols in urban VANET scenarios’, Comput. Commun., 2017, 99, (Supplement C), pp. 1323.
    9. 9)
      • 9. Van, D.D., Mau, D.O.: ‘MS-CCN: multi-source content centric networking’. 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conf., Chongqing, China, 2016, pp. 843847.
    10. 10)
      • 10. Ahmed, S.H., Bouk, S.H., Kim, D.: ‘Content-centric networks: an overview, applications and research challenges’ (Springer, Berlin, 2016).
    11. 11)
      • 11. Li, J., Wu, H., Liu, B., et al: ‘Popularity-driven coordinated caching in named data networking’. Proc. of the Eighth ACM/IEEE Symp. on Architectures for Networking and Communications Systems (ANCS), Austin, TX, USA, 2012, pp. 1526.
    12. 12)
      • 12. Suksomboon, K., Tarnoi, S., Ji, Y., et al: ‘PopCache: Cache more or less based on content popularity for information-centric networking’. 38th Annual IEEE Conf. on Local Computer Networks, Sydney, Australia, 2013, pp. 236243.
    13. 13)
      • 13. Wang, S., Bi, J., Wu, J.: ‘Collaborative caching based on hash-routing for information-centric networking’. SIGCOMM Computer Communication Review 585, Hong Kong, China, 2013, vol. 43, no. 4, pp. 535536.
    14. 14)
      • 14. Bernardini, C., Thomas, S., Olivier, F.: ‘MPC: popularity-based caching strategy for content centric networks’. 2013 IEEE Int. Conf. on Communications (ICC), Budapest, Hungary, 2013, pp. 36193623.
    15. 15)
      • 15. Ming, Z., Xu, M., Wang, D.: ‘Age-based cooperative caching in information-centric networks’. Proc. of the 2014 23rd Int. Conf. on Computer Communication and Networks (ICCCN), Shanghai, China, 4–7 August 2014, pp. 268273.
    16. 16)
      • 16. Psaras, I., Chai, W.K., Pavlou, G.: ‘Probabilistic in-network caching for information-centric networks’. ACM SIGCOMM Workshop ICN, 2012, pp. 5560.
    17. 17)
      • 17. Psaras, I., Chai, W.K., Pavlou, G.: ‘In-network cache management and resource allocation for information-centric networks’, IEEE Trans. Parallel Distrib. Syst., 2014, 25, (11), pp. 29202931.
    18. 18)
      • 18. Laoutaris, N., Che, H., Stavrakakis, I.: ‘The LCD interconnection of LRU caches and its analysis’, Perform. Eval., 2006, 63, (7), pp. 609634.
    19. 19)
      • 19. Sourlas, V., Flegkas, P., Paschos, G.S., et al: ‘Storage planning and replica assignment in content-centric publish/subscribe networks’, Comput. Netw., 2011, 55, (18), pp. 40214032.
    20. 20)
      • 20. Mauri, G., Gerla, M., Bruno, F., et al: ‘Optimal content prefetching in NDN vehicle-to-infrastructure scenario’, IEEE Trans. Veh. Technol., 2017, 66, (3), pp. 25132525.
    21. 21)
      • 21. Tian, H., Otsuka, Y., Mohri, M., et al: ‘Leveraging in-network caching in vehicular network for content distribution’, International Journal of Distributed Sensor Networks, 2016, 12, (6), pp. 19.
    22. 22)
      • 22. Chandavarkar, B.R., Guddeti, R.M.R.: ‘Simplified and improved analytical hierarchy process aid for selecting candidate network in an overlay heterogeneous networks’, Wirel. Pers. Commun., 2015, 83, (4), pp. 25932606.
    23. 23)
      • 23. Hwang, C.L., Yoon, K.: ‘Multiple attribute decision making’ (Springer-Verlag, Berlin, Heidelberg, 2011).
    24. 24)
      • 24. OPNET Modeler. Available at www.opnet.com.
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