Abstract
Independent interaction between social networks and the Internet of Things (IoT) is a budding, flexible sector leading to an advantageous Social Internet of Things (SIoT) paradigm. It provides a platform for globally interconnected items to engage with one another and build social relationships in order to give better services to users. One of the main purposes of this study is to offer a comprehensive understanding of SIoT and recent works in this field. Again, Society 5.0 is the concept that imagines a highly developed and technologically integrated society where various technologies, including the Internet of Things (IoT) are harnessed to address societal concerns and improve the general quality of life. The Social Internet of Things plays a crucial role in the implementation of Society 5.0 through technology to foster a more interconnected, inclusive, and socially conscious society. It transforms numerous industries, improves teamwork, and gives people the power to actively participate in resha** their neighborhoods and the entire planet. This article focuses on SIoT architecture, relationship management, the role of humans in the SIoT system, and the role of trust in SIoT and the SIoT-based super smart society, or Society 5.0.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Paul, S., Chakraborty, A., & Banerjee, J. S.: A fuzzy AHP-based relay node selection protocol for wireless body area networks (WBAN). In: 2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix), pp. 1–6. IEEE (2017)
Paul, S., Chakraborty, A., Banerjee, J. S.: The extent analysis based fuzzy AHP approach for relay selection in WBAN. In: Cognitive Informatics and Soft Computing: Proceeding of CISC 2017, pp. 331–341. Springer (2019)
Pandey, I., Dutta, H. S., Banerjee, J. S.: WBAN: a smart approach to next generation e-healthcare system. In: 2019 3rd International conference on computing methodologies and communication (ICCMC), pp. 344–349. IEEE (2019)
Banerjee, J.S., Chakraborty, A., Mahmud, M., Kar, U., Lahby, M., Saha, G.: Explainable Artificial Intelligence (XAI) Based Analysis of Stress Among Tech Workers Amidst COVID-19 Pandemic. In: Advanced AI and Internet of Health Things for Combating Pandemics. Springer (2023)
Banerjee, J.S., Mahmud, M., Brown, D.: Heart rate variability-based mental stress detection: an explainable machine learning approach. SN Comput. Sci. 4(2), 176 (2023)
Banerjee, J. S., Bhattacharyya, S., Obaid, A. J., & Yeh, W. C. (eds.): Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management, Routledge & CRC Press (2022)
Das, K., Banerjee, J.S.: Cognitive radio-enabled internet of things (CR-IoT): An integrated approach towards smarter world. Appl. Mach. Intell. Eng. 541–555. CRC Press (2022)
Roy, R., Dutta, S., Biswas, S., Banerjee, J. S.: Android things: A comprehensive solution from things to smart display and speaker. In Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India, pp. 339–352. Springer (2020)
Das, K., Banerjee, J.S.: Green IoT for intelligent cyber-physical systems in industry 4.0: a review of enabling technologies, and solutions. Appl. Mach. Intell. Eng. 463–478 (2022)
Chakraborty, A., Singh, B., Sau, A., Sanyal, D., Sarkar, B., Basu, S., Banerjee, J.S.: Intelligent vehicle accident detection and smart rescue system. Appl. Mach. Intell. Eng. 565–576. CRC Press (2022)
Biswas, S., Sharma, L.K., Ranjan, R., Saha, S., Chakraborty, A., Banerjee, J. S.: Smart farming and water saving-based intelligent irrigation system implementation using the internet of things. Recent. Trends. Comput. Intell. Enabled. Res. 339–354. Academic Press (2021)
Majumder, R., Dasgupta, M., Biswas, A., & Banerjee, J. S.: IoT-Based Smart City for the Post COVID-19 World: A Child-Centric Implementation Emphasis on Social Distancing. In: Applications of Machine Intelligence in Engineering, pp. 599–612. CRC Press (2022)
Lahby, M., Pilloni, V., Banerjee, J. S., Mahmud, M. (eds): Advanced AI and Internet of Health Things for Combating Pandemics. Springer (2023)
Chakraborty, A., Bhattacharyya, S., De, D., Mahmud, M., Banerjee, J.S.: Intelligent automation framework using AI and RPA: an Introduction. In: Confluence of Artificial Intelligence and Robotic Process Automation, 1–13. Springer Nature, Singapore (2023)
Bhattacharyya, S., Banerjee, J.S., De, D. (eds.): Confluence of Artificial Intelligence and Robotic Process Automation. Springer (2023)
Chakraborty, A., Bhattacharyya, S., De, D., Sarigiannidis, P., Banerjee, J.S.: Confluence of artificial intelligence and robotic process automation: concluding remarks. In: Confluence of Artificial Intelligence and Robotic Process Automation, 389–399. Springer Nature, Singapore (2023)
Ranjan, R., Saha, P., Sharma, L.K., Guhathakurata, S., Saha, S., Daripa, S., Biswas, S., Chakraborty, A., Banerjee, J.S.: Designing enhancements for App-based cab services to the commuters during COVID-19 era: a new normal solution on Indian scenario. In: Computer Intelligence Against Pandemics, De Gruyter (2023)
Bhattacharyya, S., Banerjee, J. S., Gorbachev, S., Muhammad, K., Koeppen, M. (eds.): Computer Intelligence Against Pandemics. De Gruyter (2023)
Guhathakurata, S., Saha, S., Kundu, S., Chakraborty, A., Banerjee, J.S.: South Asian countries are less fatal concerning COVID-19: a fact-finding procedure integrating ma-chine learning & multiple criteria decision-making (MCDM) technique. J. Inst. Eng. (India): Series B, 1–15 (2021)
Guhathakurata, S., Saha, S., Kundu, S., Chakraborty, A., Banerjee, J.S.: South Asian countries are less fatal concerning COVID-19: a hybrid approach using machine learning and M-AHP. In: Computational Intelligence Techniques for combating COVID-19, pp. 1–26. Springer International Publishing, Cham (2021)
Guhathakurata, S., Kundu, S., Chakraborty, A., Banerjee, J.S.: A novel approach to predict COVID-19 using support vector machine. In: Data Science for COVID-19, 351–364. Academic Press (2021)
Biswas, S., Sharma, L.K., Ranjan, R., Banerjee, J. S.: Go-COVID: an interactive cross-platform based dashboard for real-time tracking of COVID-19 using data analytics. J. Mech. Continua Math. Sci. 15, 1–15 (2020)
Guhathakurata, S., Saha, S., Kundu, S., Chakraborty, A., Banerjee, J. S.: A new approach to predict COVID-19 using artificial neural networks. In: Cyber-Physical Systems, 139–160. Academic Press (2022)
Banerjee, J., Maiti, S., Chakraborty, S., Dutta, S., Chakraborty, A., Banerjee, J.S.: Impact of machine learning in various network security applications. In: 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), 276–281. IEEE (2019)
Saha, P., Guhathakurata, S., Saha, S., Chakraborty, A., Banerjee, J. S.: Application of machine learning in app-based cab booking system: a survey on Indian scenario. In: Applications of Artificial Intelligence in Engineering, Proceedings of First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), 483–497. Springer, Singapore (2021)
Mandal, J.K., Misra, S., Banerjee, J. S., Nayak, S. (eds.): Applications of machine intelligence in engineering. In: Proceedings of 2nd Global Conference on Artificial Intelligence and Applications (GCAIA, 2021), 8–10 September 2021, Jaipur, India. CRC Press (2022)
Gupta, R., Choudhury, M. H., Mahmud, M., & Banerjee, J. S.: Patent Analysis on Artificial Intelligence in Food Industry: Worldwide Present Scenario. In: Intelligent Human Centered Computing: Proceedings of HUMAN 2023, Springer (2023)
Chakraborty, A., Banerjee, J. S., Bhadra, R., Dutta, A., Ganguly, S., Das, D., Kundu, S., Mahmud, M., & Saha, G.: A framework of intelligent mental health monitoring in smart cities and societies. IETE Journal of Research, 1–14 (2023)
Bhattacharyya, S., Banerjee, J.S., Köppen, M. (eds.): Human-Centric Smart Computing: Proceedings of ICHCSC 2022, vol. 316. Springer Nature (2022)
Malekshahi Rad, M., Rahmani, A.M., Sahafi, A., Nasih Qader, N.: Social internet of things: vision, challenges, and trends. HCIS 10(1), 1–40 (2020)
Shahab, S., Agarwal, P., Mufti, T., Obaid, A.J.: SIoT (social internet of things): a review. ICT Anal. Appl. 289–297 (2022)
Atzori, L., Iera, A., Morabito, G.: SIoT: giving a social structure to the Internet of Things. IEEE Commun. Lett. 15(11), 1193–1195 (2011)
Atzori, L., Iera, A., Morabito, G., Nitti, M.: The social internet of things (SIoT)–when social networks meet the internet of things: concept, architecture, and network characterization. Comput. Netw. 56(16), 3594–3608 (2012)
Nitti, M., Atzori, L., Cvijikj, I.P.: Network navigability in the social Internet of things. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), pp. 405–410. IEEE (2014)
Abdelghani, W., Zayani, C.A., Amous, I., Sèdes, F.: Trust management in social internet of things: a survey. In: Social Media: The Good, the Bad, and the Ugly: 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Swansea, UK, September 13–15, 2016, Proceedings 15, pp. 430–441. Springer (2016)
Chen, R., Bao, F., Guo, J.: Trust-based service management for social Internet of Things systems. IEEE Trans. Dependable Secur. Comput. 13(6), 684–696 (2015)
Amin, F., Majeed, A., Mateen, A., Abbasi, R., Hwang, S.O.: A systematic survey on the recent advancements in the social Internet of Things. IEEE Access 10, 63867–63884 (2022)
Chattopadhyay, J., Kundu, S., Chakraborty, A., Banerjee, J. S.: Facial expression recognition for human computer interaction. New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India, 1181–1192 (2020)
Chakraborty, A., Banerjee, J.S.: An advance Q learning (AQL) approach for path planning and obstacle avoidance of a mobile robot. Int. J. Intell. Mechatron. Robot. (IJIMR), 3(1), 53–73 (2013)
Banerjee, J. S., Karmakar, K.: A comparative study on cognitive radio implementation issues. Int. J. Comput. Appl. 45(15), 44–51, (2012)
Banerjee, J. S., Chakraborty, A., Chattopadhyay, A.: A decision model for selecting best reliable relay queue for cooperative relaying in cooperative cognitive radio networks: the extent analysis based fuzzy AHP solution. Wirel. Networks. 27(4), 2909–2930 (2021)
Banerjee, J. S., Chakraborty, A., & Chattopadhyay, A.: M-AHP and GRA Based a Hybrid Double-Layered Technique for Selecting the Optimal and Best Relay in Cooperative CR Networks. J. Inst. Eng. (India): Series B. 103(6), 1995–2011 (2022)
Banerjee, J.S., Chakraborty, A., Chattopadhyay, A.: Fuzzy based relay selection for secondary transmission in cooperative cognitive radio networks. In: Advances in Optical Science and Engineering: Proceedings of the Third International Conference, OPTRONIX 2016, pp. 279–287. Springer Singapore (2017)
Banerjee, J. S., Chakraborty, A., Karmakar, K.: Architecture of cognitive radio networks. In: Cognitive radio technology applications for wireless and mobile ad hoc networks, pp. 125–152. IGI Global (2013)
Banerjee, J. S., Chakraborty, A.: Modeling of software defined radio architecture and cognitive radio: The next generation dynamic and smart spectrum access technology. In: Cognitive radio sensor networks: Applications, architectures, and challenges, pp. 127–158. IGI Global (2014)
Banerjee, J. S., Chakraborty, A.: Fundamentals of software defined radio and cooperative spectrum sensing: a step ahead of cognitive radio networks. In: Handbook of research on software-defined and cognitive radio technologies for dynamic spectrum management, pp. 499-543. IGI Global (2015)
Chakraborty, A., Banerjee, J. S., Chattopadhyay, A.: Malicious node restricted quantized data fusion scheme for trustworthy spectrum sensing in cognitive radio networks. J. Mech. Continua. Math. Sci. 15(1), 39–56 (2020)
Banerjee, J. S., Goswami, D., Nandi, S.: OPNET: a new paradigm for simulation of advanced communication systems. In: Proceedings of International Conference on Contemporary Challenges in Management, Technology & Social Sciences, SEMS, pp. 319–328 (2014)
Banerjee, J. S., Chakraborty, A., Chattopadhyay, A.: Relay node selection using analytical hierarchy process (AHP) for secondary transmission in multi-user cooperative cognitive radio systems. In: Advances in Electronics, Communication and Computing: ETAEERE-2016, pp. 745–754. Springer Singapore (2018)
Banerjee, J.S., Chakraborty, A., & Chattopadhyay, A.: A cooperative strategy for trustworthy relay selection in CR network: a game-theoretic solution. Wireless Pers. Commun. 122, 41–67 (2022)
Banerjee, J. S., Chakraborty, A., Chattopadhyay, A.: Reliable best-relay selection for secondary transmission in co-operation based cognitive radio systems: a multi-criteria approach. J. Mech. Continua. Math. Sci. 13(2), 24–42 (2018)
Banerjee, J.S., Chakraborty, A., Chattopadhyay, A.: A novel best relay selection protocol for cooperative cognitive radio systems using fuzzy AHP. J. Mech. Continua. Math. Sci. 13(2), 72–87 (2018)
Chakraborty, A., Banerjee, J. S., Chattopadhyay, A.: Non-uniform quantized data fusion rule for data rate saving and reducing control channel overhead for cooperative spectrum sensing in cognitive radio networks. Wirel. Pers. Commun. 104, 837–851 (2019)
Chakraborty, A., Banerjee, J. S., Chattopadhyay, A.: Non-uniform quantized data fusion rule alleviating control channel overhead for cooperative spectrum sensing in cognitive radio networks. In: 2017 IEEE 7th international advance computing conference (IACC), pp. 210–215. IEEE (2017)
Nair, M.M., Tyagi, A.K., Sreenath, N.: The future with Industry 4.0 at the core of society 5.0: opsen issues, future opportunities, and challenges. In: 2021 International Conference on Computer Communication and Informatics (ICCCI), pp. 1–7. IEEE (2021)
Fukuyama, M.: Society 5.0: aiming for a new human-centered society. Jpn. Spotlight 27(5), 47–50 (2018)
Fukuda, K.: Science, technology and innovation ecosystem transformation toward society 5.0. Int. J. Prod. Econ. 220, 107460 (2020)
Pan, C., Banerjee, J.S., De, D., Sarigiannidis, P., Chakraborty, A., Bhattacharyya, S.: ChatGPT: A OpenAI platform for society 5.0. In: Doctoral Symposium on Human Centered Computing, pp. 384–397. Springer, Singapore (2023)
Bhattacharyya, S., Banerjee, J.S., Köppen, M. (eds.): Human-Centric Smart Computing: Proceedings of ICHCSC 2023, vol. 376. Springer Nature (2024)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Das, S. et al. (2024). Role of the Social Internet of Things in Society 5.0: Opportunities and Challenges. In: Bhattacharyya, S., Banerjee, J.S., Köppen, M. (eds) Human-Centric Smart Computing. ICHCSC 2023. Smart Innovation, Systems and Technologies, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-99-7711-6_52
Download citation
DOI: https://doi.org/10.1007/978-981-99-7711-6_52
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-7710-9
Online ISBN: 978-981-99-7711-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)