Abstract
In light of our study regarding load balancing in Internet of things (IoT) networks, we propose: “The future of computing is distributed.” This paper highlights the need to bring a distributed architecture to IoT networks, thus realizing an IoT network where end nodes can process and also analyze the data they gather. This makes a significant contribution to load reduction in terms of network traffic. It also avoids data coagulation at a edge server. In the resultant architecture, the envision shall have lower rates of traffic congestion by virtue of lower traffic and shall only need to address load balancing chiefly in terms of consistency requirements. With a distributed architecture, consistency is required to be maintained for all data which can be remotely modified. But we point out that the nature of IoT is different, i.e., there are simply less remote-write operations. Thus, the nature of IoT networks is such that the consistency overhead associated with adopting distributed architecture would be minimal. Based on this, we put forth a deployment template for ‘A Decentralized IoT Network.’
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Özdemir, V., Hekim, N.: Birth of industry 5.0: making sense of big data with artificial intelligence,“the internet of things” and next-generation technology policy. Omics: J. integr. Biol. 22(1), 65–76 (2018)
Howell, J.: Number of connected ioT devices will surge to 125 billion by 2030, IHS markit says. IHS Markit Technol. (2017)
Khan, Z.A., Imran, S.A., Akre, V., Shahzad, M., Ahmed, S., Khan, A., Rajan, A.: Contemporary cutting edge applications of IoT (Internet of Things) in industries. In: 2020 Seventh International Conference on Information Technology Trends (ITT), pp. 30–35. IEEE (2020)
Cirillo, F., Gómez, D., Diez, L., Maestro, I.E., Gilbert, T.B.J., Akhavan, R.: Smart city ioT services creation through large-scale collaboration. IEEE Internet of Things J. 7(6), 5267–5275 (2020)
Malche, T., Maheshwary, P.: Internet of Things (IoT) for building smart home system. In: 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), pp. 65–70 IEEE (2017)
Asif Faisal, Md., Kamruzzaman, T.Y., Currie, G.: Understanding autonomous vehicles. J. Transp. Land Use 12(1), 45–72 (2019)
Al-Janabi, T.A., Al-Raweshidy, H.S.: Optimised clustering algorithm-based centralised architecture for load balancing in iot network. In: 2017 International Symposium on Wireless Communication Systems (ISWCS), pp. 269–274 (2017)
Liao, Ying, Qi, Huan, Li, Weiqun: Load-balanced clustering algorithm with distributed self-organization for wireless sensor networks. IEEE Sens. J. 13(5), 1498–1506 (2012)
Mogi, R., Nakayama, T., Asaka, T.: Load balancing method for IoT sensor system using multi-access edge computing. In: 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW), pp. 75–78. IEEE (2018)
Bhatia, A., Kaushik, P.: A cluster based minimum battery cost AODV routing using multipath route for zigbee. In: 2008 16th IEEE International Conference on Networks, pp. 1–7 (2008)
Tseng, C.H.: Multipath load balancing routing for Internet of Things. J. Sens. 2016 (2016)
Yin, W., Liu, W.: Routing protocol based on genetic algorithm for energy harvesting-wireless sensor networks. IET Wirel. Sens. Syst. 3(2), 112–118 (2013)
Sahinoglu, Z., Orlik, P., Zhang, J., Bhargava, B., Ding, G.: Reliable broadcasting in zigbee networks. In: Proceedings of IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, pp. 510–520 (2005)
Theis, T.N., Philip Wong, H.-S.: The end of Moore’s law: a new beginning for information technology. Comput. Sci. Eng. 19(2), 41–50 (2017)
Moore, S.K.: Another step toward the end of Moore’s law: Samsung and TSMC move to 5-nanometer manufacturing-[news]. IEEE Spectrum 56(6), 9–10 (2019)
Krasniqi, X., Hajrizi, E.: Use of IoT technology to drive the automotive industry from connected to full autonomous vehicles. IFAC-PapersOnLine 49(29), 269–274 (2016)
Ghosh, A.M., Halder, D., Hossain, S.K.A.: Remote health monitoring system through IoT. In: 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp. 921–926 (2016)
Zhang, Y., Chen, G., Hang, D., Yuan, X., Kadoch, M., Cheriet, M.: Real-time remote health monitoring system driven by 5G MEC-IoT. Electronics 9(11), 1753 (2020)
Bonawitz, K., Eichner, H., Grieskamp, W., Huba, D., Ingerman, A., Ivanov, V., Kiddon, C., Konečnỳ, J., Mazzocchi, S., Brendan McMahan, H., et al.: Towards federated learning at scale: system design. arXiv:1902.01046 (2019)
Bahga, A., Madisetti, V.: Internet of Things: A Hands-on Approach. Vpt (2014)
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
Yadav, R.K., Gahlawat, A., Goyal, A., Bansal, A. (2022). A Decentralized Model for IoT Networks. In: Saraswat, M., Roy, S., Chowdhury, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 287. Springer, Singapore. https://doi.org/10.1007/978-981-16-5348-3_46
Download citation
DOI: https://doi.org/10.1007/978-981-16-5348-3_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5347-6
Online ISBN: 978-981-16-5348-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)