The Economics of Internet of Things: An Information Market System
DOI:
https://doi.org/10.18034/abr.v11i1.523Keywords:
IoT, information economics, game-theoretic model, IoT-based servicesAbstract
The Internet of Things (IoT) is one of the leading forces in modern-day technology. The concept has been proposed to be a new way of interconnecting a multiplicity of devices and rendering services to a variety of applications. According to the industry’s insiders, IoT will make it possible to link transport, energy, smart cities, and healthcare together. The purpose of this paper is to understand the economics of the Internet of Things. It is meant to shed light on how world IoT applications can affect the information market. When every sector and industry of the world has been connected via this technology, what will become of the ICT niche? The information economic approach is currently being adopted and presented with its possible applications in IoT. Firstly, this paper reviews the kinds of economic models that have been designed for IoT services. Secondly, it focuses on the two major subject matters of information economics that are critical to IoT. While one considers the value of the information itself, the other addresses information with good pricing. Lastly, the paper proposes a game-theoretic model to examine the price competition of IoT-based services. We take a look at how these two sectors will fare against each, both at full capacity.
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Ahmed, A. A. A., Aljarbouh, A., Donepudi, P. K., & Choi, M. S. (2021). Detecting Fake News using Machine Learning: A Systematic Literature Review. Psychology and Education, 58(1), 1932–1939. https://zenodo.org/record/4494366. https://doi.org/10.5281/zenodo.4494366
Ahmed, A. A. A., Donepudi, P. K., & Asadullah, A. B. M. (2020). Artificial Intelligence in Clinical Genomics and Healthcare. European Journal of Molecular & Clinical Medicine, 7(11), 1194-1202, https://ejmcm.com/?_action=article&au=24014
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15) Pages 2787-2805, https://doi.org/10.1016/j.comnet.2010.05.010
Chavali, P. and Nehorai, A. (2012). Managing Multi-Modal Sensor Networks Using Price Theory, in IEEE Transactions on Signal Processing, 60(9), 4874-4887, https://doi.org/10.1109/TSP.2012.2203127
Donepudi, P. K. (2021a). Ecobrain of Xolo and friends. Absolute Author Publishing House, Pages 25. https://www.amazon.com/dp/164953194X
Donepudi, P. K. (2021b). Impact of Machine Learning in Neurosurgery: A Systematic Review of Related Literature. Malaysian Journal of Medical and Biological Research, 8(1), 13-20. https://doi.org/10.18034/mjmbr.v8i1.520
Donepudi, P. K., Ahmed, A. A. A., Hossain, M. A., & Maria, P. (2020). Perceptions of RAIA Introduction by Employees on Employability and Work Satisfaction in the Modern Agriculture Sector. International Journal of Modern Agriculture, 9(4), 486–497. https://doi.org/10.5281/zenodo.4428205
Erol-Kantarci, M. and Mouftah, H. T. (2015). Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues, in IEEE Communications Surveys & Tutorials, 17(1), 179-197, https://doi.org/10.1109/COMST.2014.2341600
Khajenasiri, I., Estebsari, A., Verhelst, M., Gielen, G. (2017). A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications. Energy Procedia, Volume 111, 770-779, https://doi.org/10.1016/j.egypro.2017.03.239
Kumar, S., Tiwari, P. & Zymbler, M. (2019). Internet of Things is a revolutionary approach for future technology enhancement: a review. J Big Data 6, 111. https://doi.org/10.1186/s40537-019-0268-2
Munjin, D. and Morin, J. (2012). Toward Internet of Things application markets. IEEE International Conference on Green Computing and Communications (GreenCom), 156-162, https://doi.org/10.1109/GreenCom.2012.33
Noura, M., Atiquzzaman, M. & Gaedke, M. (2019). Interoperability in Internet of Things: Taxonomies and Open Challenges. Mobile Netw Appl 24, 796–809, https://doi.org/10.1007/s11036-018-1089-9
Olivier, F., Carlos, G., Florent, N. (2015). New Security Architecture for IoT Network, Procedia Computer Science, Volume 52, 1028-1033, https://doi.org/10.1016/j.procs.2015.05.099
Palattella, M., Dohler, M., Grieco, L., Rizzo, G., Torsner, J., Engel, T., & Ladid, L. (2016). Internet of Things in the 5G Era: Enablers, Architecture, and Business Models. IEEE Journal on Selected Areas in Communications, 34, 510-527.
Temglit, N., Chibani, A., Djouani, K. and Nacer, M. A. (2018). A Distributed Agent-Based Approach for Optimal QoS Selection in Web of Object Choreography, in IEEE Systems Journal, 12(2), 1655-1666, https://doi.org/10.1109/JSYST.2016.2647281
Uckelmann, D. (2012). Performance Measurement and Cost Benefit Analysis for RFID and Internet of Things Implementations in Logistics. In: Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27991-1_4
Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms?. Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520
Vadlamudi, S. (2019). How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis. Asia Pacific Journal of Energy and Environment, 6(2), 91-100. https://doi.org/10.18034/apjee.v6i2.542
Vadlamudi, S. (2020). Internet of Things (IoT) in Agriculture: The Idea of Making the Fields Talk. Engineering International, 8(2), 87-100. https://doi.org/10.18034/ei.v8i2.522
White, G., Nallur, V., & Clarke, S. (2017). Quality of service approaches in IoT: A systematic mapping. Journal of Systems and Software, Volume 132, 186-203, https://doi.org/10.1016/j.jss.2017.05.125
Xu, L., Jiang, C., Chen, Y., Ren, Y. and Liu, K. J. R. (2015). Privacy or Utility in Data Collection? A Contract Theoretic Approach, in IEEE Journal of Selected Topics in Signal Processing, 9(7), 1256-1269, https://doi.org/10.1109/JSTSP.2015.2425798
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