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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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.
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.
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things, 3(5), 637–646.
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.
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.
Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012). A survey of information-centric networking. IEEE Communications Magazine, 50(7), 26–36.
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.
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.
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.
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.
Acknowledgements
This research work has been funded by SERB-DST Project File No: EEQ/2017/000681.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-16-2919-8_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2918-1
Online ISBN: 978-981-16-2919-8
eBook Packages: EngineeringEngineering (R0)