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Fault Tolerant Multimedia Caching Strategy for Information-Centric Networking

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IoT and Analytics for Sensor Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 244))

Abstract

Extensive usage of mobile multimedia-based applications is increasing the user’s demand on the internet. Edge computing makes it possible to bring storage of data and computation in close vicinity to mobile users. To improve the experience of the users, the proposed method uses edge Internet of Things equipment-assisted Fault Tolerant Multimedia Caching Strategy (FTMCS) for information-centric networking. To accomplish this, we propose a new technique composed of optimized task distribution and fault tolerant network services. The task distribution method efficiently distributes the downloading task among the edge nodes having required data. Fault tolerant service makes it possible for the network to withstand node failures that may occur during the file downloading, and by using this service, fast and reliable transfer of content happens seamlessly according to user preferences. The experimental results show that the FTMCS provides better network performance compared to the existing solution in terms of download speed and throughput.

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References

  1. Shreyas, J., Jumnal, A., Kumar, S. M. D., & Venugopal, K. R. (2020). Application of computational intelligence techniques for internet of things: An extensive survey. International Journal of Computational Intelligence Studies, 9(3), 234–288.

    Article  Google Scholar 

  2. Shreyas, J., Singh, H., Bhutani, J., Pandit, S., Srinidhi, N. N., & Kumar, S. M. D. (2019). Congestion aware algorithm using fuzzy logic to find an optimal routing path for IoT networks. In International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), December 11–12 (pp.141–145). Dubai, United Arab Emirates.

    Google Scholar 

  3. Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things, 3(5), 637–646.

    Article  Google Scholar 

  4. Srinidhi, N. N., Sagar, C. S., Chethan, S. D., Shreyas, J., & Kumar, S. M. D. (2019). Machine learning based efficient multi-copy routing for oppiot networks. In International Conference on Computational Intelligence, Security and Internet of Things, December 13–14 (pp. 288–302). Agartala, India.

    Google Scholar 

  5. Srinidhi, N. N., Sunitha, G. P., Nagarjun, E., Shreyas, J., & Kumar, S. M. D. (2019). Lifetime maximization of IoT network by optimizing routing energy. In IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), November 15–16 (pp. 1–4). Bangalore, India.

    Google Scholar 

  6. Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012). A survey of information-centric networking. IEEE Communications Magazine, 50(7), 26–36.

    Article  Google Scholar 

  7. Xylomenos, G., Ververidis, C. N., Siris, V. A., Fotiou, N., Tsilopoulos, C., Vasilakos, X., et al. (2014). A survey of information-centric networking research. IEEE Communications Surveys & Tutorials, 16(2), 1024–1049.

    Article  Google Scholar 

  8. Wu, L., Zhang, T., Xu, X., Zeng, Z., & Liu, Y. (2015). Grey relational analysis based cross-layer caching for content centric networking. In IEEE/CIC International Conference on Communications in China (ICCC), November 2–4 (pp. 1–6). Shenzhen, China.

    Google Scholar 

  9. Quan, W., Xu, C., Guan, J., Zhang, H., & Grieco, L. A. (2014). Social cooperation for information-centric multimedia streaming in highway VANETs. In Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, June 19–19 (pp. 1–6). Sydney, Australia.

    Google Scholar 

  10. Tang, Y., Guo, K., Ma, J., Shen, Y., & Chi, T. (2019). A smart caching mechanism for mobile multimedia in information centric networking with edge computing. Future Generation Computer Systems, 91(2), 590–600.

    Article  Google Scholar 

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Acknowledgements

This research work has been funded by SERB-DST Project File No: EEQ/2017/000681.

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Chouhan, D., Hegde, S., Srinidhi, N.N., Shreyas, J., Kumar, S.M.D. (2022). Fault Tolerant Multimedia Caching Strategy for Information-Centric Networking. In: Nayak, P., Pal, S., Peng, SL. (eds) IoT and Analytics for Sensor Networks. Lecture Notes in Networks and Systems, vol 244. Springer, Singapore. https://doi.org/10.1007/978-981-16-2919-8_25

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  • DOI: https://doi.org/10.1007/978-981-16-2919-8_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2918-1

  • Online ISBN: 978-981-16-2919-8

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