Unveiling The Seamless Intergration : The impact of IOT Technologies on everyday life and organizational Dynamics

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume :13 | Issue : 01 | Page : –
By
vector

Jyotsna Salet,

vector

V. Modhavadiya,

vector

B. Bapodara,

vector

S. Odedara,

  1. Assistant Professor, Department of computer Science, Shri V. J. Modha College of Information Technology College in Porbandar, Gujarat, India
  2. Student, Department of computer Science, Shri V. J. Modha College of Information Technology College in Porbandar, Gujarat, India
  3. Student, Department of computer Science, Shri V. J. Modha College of Information Technology College in Porbandar, Gujarat, India
  4. Student, Department of computer Science, Shri V. J. Modha College of Information Technology College in Porbandar, Gujarat, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_146789’);});Edit Abstract & Keyword

IOT is about connecting devices worldwide to simplify life and save energy. This  paper talks about these issues and looks ahead to what’s next for  IOT. Even though IOT mixes  the  digital and physical worlds, there is still a lot to learn. This paper discusses the problems and suggests solution for future research. Currently, IOT is changing everything from homes to industries. This paper explains IOT simply, and we try to understand IOT is why important? The article talks about how IOT  is changing things by connecting devices. IOT is promising for remote  patient monitoring, but connects about energy use and security. A new low-power IOT platform can predict heart using ECG signals while being efficient and secure. This paper examines its applications in lifesaving solutions, smart  cities, agriculture and industry, comparing IOT with machine to machine(M 2 M) communication. It discusses explores protocols and security issues and suggests future research directions. We  discusses combining blockchain with machine learning. Blockchain secures transactions, while  machine learning  makes systems smarter.

Keywords: Internet of Things (IoT), connecting devices, smart cities, ECG signals, Blockchain secures

[This article belongs to Journal Of Network security (jons)]

How to cite this article:
Jyotsna Salet, V. Modhavadiya, B. Bapodara, S. Odedara. Unveiling The Seamless Intergration : The impact of IOT Technologies on everyday life and organizational Dynamics. Journal Of Network security. 2025; 13(01):-.
How to cite this URL:
Jyotsna Salet, V. Modhavadiya, B. Bapodara, S. Odedara. Unveiling The Seamless Intergration : The impact of IOT Technologies on everyday life and organizational Dynamics. Journal Of Network security. 2025; 13(01):-. Available from: https://journals.stmjournals.com/jons/article=2025/view=0

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_146789’);});Edit

References

[1]      N. Mehta, P. Rathod, B. Raychura, and S. Bokhiriya, “Medical Science and Technology A Comprehensive Review of Digital Transformation in Healthcare: Addressing Privacy, Security, and Usability Challenges in Electronic Health Records,” 2024, doi: 10.37591/RRJoMST.

[2]      N. Mehta and H. Thaker, “Data Collection for a Machine Learning Model to Suggest Gujarati Recipes to Cardiac Patients Using Gujarati Food and Fruit with Nutritive Values,” in Smart Innovation, Systems and Technologies, Springer Science and Business Media Deutschland GmbH, 2023, pp. 271–281. doi: 10.1007/978-981-99-3982-4_24.

[3]      Gil. Reiter, “Wireless connectivity for the Internet of Things,” Europe 433.868, p. 466, 2014.

[4]      Q. Xu, K. M. M. Aung, Y. Zhu, and K. L. Yong, Studies in Computational Intelligence 715 New Advances in the Internet of Things. 2018.

[5]      S. Andreev et al., “Understanding the IoT Connectivity Landscape: A Contemporary M2M Radio Technology Roadmap,” Sep. 2015, doi: 10.1109/MCOM.2015.7263370.

[6]      B. Martinez, M. Montón, I. Vilajosana, and J. D. Prades, “The Power of Models: Modeling Power Consumption for IoT Devices,” IEEE Sens J, vol. 15, no. 10, pp. 5777–5789, 2015, doi: 10.1109/JSEN.2015.2445094.

[7]      K. Gulati, R. S. Kumar Boddu, D. Kapila, S. L. Bangare, N. Chandnani, and G. Saravanan, “A review paper on wireless sensor network techniques in Internet of Things (IoT),” Mater Today Proc, vol. 51, no. xxxx, pp. 161–165, 2021, doi: 10.1016/j.matpr.2021.05.067.

[8]      Z. Thakrar and A. Gonsai, “Predicting Fishing Effort: Data Collection for Machine Learning Model Using Scientific and Indigenous Method,” in Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, 2023, pp. 207–215. doi: 10.1007/978-981-99-3761-5_20.

[9]      M. Yasin, B. Mazumdar, O. Sinanoglu, and J. Rajendran, “Removal Attacks on Logic Locking and Camouflaging Techniques,” IEEE Trans Emerg Top Comput, vol. 8, no. 2, pp. 517–532, 2020, doi: 10.1109/TETC.2017.2740364.

[10]    Z. Thakrar and A. Gonsai, “HEFZ-RNNLSTM: An Ingenious Deep Learning Hybrid Model for Ensemble-Based Prediction of Potential Fishing Zone Areas in the Indian Ocean,” 2023.

[11]     J. Tao, M. Umair, M. Ali, and J. Zhou, “The impact of internet of things supported by emerging 5G in power systems: A review,” CSEE Journal of Power and Energy Systems, vol. 6, no. 2, pp. 344–352, 2020, doi: 10.17775/CSEEJPES.2019.01850.

[12]    S. Xie, Z. Zheng, W. Chen, J. Wu, H. N. Dai, and M. Imran, “Blockchain for cloud exchange: A survey,” Computers and Electrical Engineering, vol. 81, no. 2020, 2020, doi: 10.1016/j.compeleceng.2019.106526.

[13]    K. Suresh Kumar, T. Ch Anil Kumar, M. Sundar Rajan, A. Professor, N. Rao Cheepurupalli, and P. Rajan Mungekar, “Based on 5G Internet of Things Technology (Iot), the Integrity of Agricultural Products and the Sustainability of the origin’s Ecological Environment,” 2024. [Online]. Available: http://jier.orghttp://www.orcid.org/0000-0002-3912-3687

[14]    N. El Akrami, M. Hanine, E. S. Flores, D. G. Aray, and I. Ashraf, “Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis,” IEEE Access, vol. 11, no. August, pp. 78879–78903, 2023, doi: 10.1109/ACCESS.2023.3298371.

[15]    Z. Thakrar and A. Gonsai, “Comparing Fish Finding Techniques using Satellite and Indigenous Data based on Different Machine Learning Algorithms,” in Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, 2023, pp. 329–340. doi: 10.1007/978-981-19-9888-1_25.

[16]    V. Bhuvaneswari and R. Porkodi, “The internet of things (IOT) applications and communication enabling technology standards: An overview,” Proceedings – 2014 International Conference on Intelligent Computing Applications, ICICA 2014, no. March 2014, pp. 324–329, 2014, doi: 10.1109/ICICA.2014.73.

[17]    F. Wortmann and K. Flüchter, “Internet of Things: Technology and Value Added,” Business and Information Systems Engineering, vol. 57, no. 3, pp. 221–224, 2015, doi: 10.1007/s12599-015-0383-3.

[18]    Dr. Z. Thakrar, K. J. Buddhadev, H. D. Bhatt, N. H. Bhadrecha, and M. D. Bhogayata, “Swimmer Safety Alert System for Encounters with Unidentified Marine Aquatic Animals,” International Journal of Innovative Research in Computer Science and Technology, vol. 12, no. 4, pp. 47–51, Jul. 2024, doi: 10.55524/ijircst.2024.12.4.8.

[19]    S. Balaji, K. Nathani, and R. Santhakumar, “IoT Technology, Applications and Challenges: A Contemporary Survey,” Wirel Pers Commun, vol. 108, no. 1, pp. 363–388, 2019, doi: 10.1007/s11277-019-06407-w.

[20]    Z. Thakrar and A. Gonsai, “Review Paper: Combined Study of Oceanography and Indigenous Method for Effective Fishing,” Smart Innovation, Systems and Technologies, vol. 290, pp. 147–155, 2023, doi: 10.1007/978-981-19-0108-9_16/COVER.

[21]    S. Tang, D. R. Shelden, C. M. Eastman, P. Pishdad-Bozorgi, and X. Gao, “A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends,” Autom Constr, vol. 101, no. February, pp. 127–139, 2019, doi: 10.1016/j.autcon.2019.01.020.

[22]    M. N. Jahantigh, A. M. Rahmani, N. J. Navimirour, and A. Rezaee, “Integration of Internet of Things and cloud computing: A systematic survey,” IET Communications, vol. 14, no. 2, pp. 165–176, 2020, doi: 10.1049/iet-com.2019.0537.

[23]    B. Chandrayan and R. Kumar, “IoT Integration in Industry—A Literature Review,” Lecture Notes in Mechanical Engineering, no. May, pp. 9–17, 2020, doi: 10.1007/978-981-15-1071-7_2.

[24]    P. V. Kishorchandra, V. B, M. R, R. M, and K. K., “A Comprehensive Review- Building A Secure Social Media Environment for Kids- Automated Content Filtering with Biometric Feedback,” International Journal of Innovative Research in Computer Science and Technology, vol. 12, no. 4, pp. 25–30, Jul. 2024, doi: 10.55524/ijircst.2024.12.4.4.

[25]    J. Salet, Dr. K. Rakholia, O. Rahul, K. Jignesh, and K. Jay, “Navigating the Evolution: Current Trends and Future Directions in Programming Languages,” International Journal of Innovative Research in Computer Science and Technology, vol. 12, no. 4, pp. 43–46, Jul. 2024, doi: 10.55524/ijircst.2024.12.4.7.

[26]    J. K. Salet and B. Parekh, “Implementation of E-Governance Framework for Rural Areas of India,” Lecture Notes in Networks and Systems, vol. 628 LNNS, pp. 341–352, 2023, doi: 10.1007/978-981-19-9888-1_26/COVER.

[27]    S. J. Kanjibhai and Dr. P. K. Gokani, “Effective Role of E-governance in Higher Education,” NOLEGEIN-Journal of Corporate & Business Laws, vol. 3, no. 1, pp. 1–6, Jul. 2020, Accessed: Mar. 14, 2024. [Online]. Available: https://mbajournals.in/index.php/JoCBL/article/view/507

[28]    N. Mehta, “Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback,” 2024, doi: 10.37591/JoCTA.

[29]    N. Mehta and H. Thaker, “Study of Nutrition-Based Recommender System for Diabetes and Cardiovascular Patients Based on Various Machine Learning Techniques: A Systematic Review,” Lecture Notes in Networks and Systems, vol. 628 LNNS, pp. 317–327, 2023, doi: 10.1007/978-981-19-9888-1_24.

[30]    P. V. Kishorchandra and A. Pandya Rajnikant, “A Critical Analysis Using Data Mining Techniques to Predict Students’ Educational Performance: Analyzing the Impact of Non-intellectual Parameters,” in International Conference on Deep Learning and Visual Artificial Intelligence, Springer, 2024, pp. 205–213.

[31]    P. V. Kishorchandra and A. P. Rajnikant, “A Critical Analysis Using Data Mining Techniques to Predict Students’,” Deep Learning and Visual Artificial Intelligence: Proceedings of ICDLAI 2024, p. 205, 2024.

[32]    S. K. Jyotsna Kanjibhai Priyank Gokani, “Issue 6 www.jetir.org (ISSN-2349-5162),” JETIR, 2019. [Online]. Available: www.jetir.org508

[33]    P. Vishal Kishorchandra, “Role of E-Learning Based Higher Education in Sustainable Development,” 2020. [Online]. Available: https://en.wikipedia.org/wiki/Self-

[34]    P. Vishal Kishorchandra, D. Monani, D. Aahuja, U. Chotai, and A. Professor, “Traditional vs. Modern Education: A Comparative Analysis,” International Journal of Research and Analytical Reviews, 2024, [Online]. Available: www.ijrar.org

[35]    J. K. Salet and P. K. Gokani, “E-governance: Enhanced Learning Technology in Education Policy”.


Regular Issue Subscription Review Article
Volume 13
Issue 01
Received 20/11/2024
Accepted 06/01/2025
Published 09/01/2025