Recent Trends in Sensor Research & Technology Review Article

IoT and Node MCU based Smart Logistics

  1. Mulla Nikat Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur
  2. Kazi Kutubuddin Sayyad Liyakat Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur

Abstract

Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It is favored for its low cost, ease of programming, and built-in Wi-Fi capabilities, making it ideal for deploying smart solutions in resource-constrained environments. This paper delves into how Node MCU can be utilized to build a smart logistics system, focusing on key components, implementation strategies, and practical outcomes. By leveraging Node MCU's capabilities for sensor integration, wireless connectivity, and data processing, logistics operations can achieve real-time tracking, prognostic maintenance, and effectual resources management. The discussion highlights the system's architecture, benefits such as cost reduction and improved accuracy, and challenges like security concerns. We proposed a system using Temperature and Humidity sensor, GPS tracker, and Weight sensor. Overall, this approach demonstrates how Node MCU-based IoT solutions can transform traditional logistics into more agile and data-driven ecosystem, paving the way for sustainable supply chain innovations.

Keywords

References (71)

  1. AO, B AV, B j B, D AB, J H , L KK. B A , , f F . A f A -B . 2024;29(2):71-86.
  2. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. In ITM Web of Conferences 2025 (Vol. 76, p. 02010). EDP Sciences.
  3. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. InITM Web of Conferences 2025 (Vol. 76, p. 02010). EDP Sciences.
  4. Veena C, Sridevi M, Liyakat KK, Saha B, Reddy SR, Shirisha N. HEECCNB: An efficient IoT- cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems. In2023 Seventh International Conference on Image Information Processing (ICIIP) 2023 Nov 22 (pp. 407-410). IEEE.
  5. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) 2024 Dec 12 (pp. 1735-1744). IEEE.
  6. Prasad KR, Karanam SR, Ganesh D, Liyakat KK, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. The Journal of High Technology Management Research. 2024 May 1;35(1):100496.
  7. Liyakat KK. Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In2023 International Conference on Emerging Smart Computing and Informatics (ESCI)2023 Mar 1 (pp. 1-5). IEEE.
  8. Liyakat KK. Malicious node detection in IoT networks using artificial neural networks: A machine learning approach. InIntelligent Networks (pp. 182-197). CRC Press.
  9. Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Liyakat KK. Implementation and recognition of waste management system with mobility solution in smart cities using Internet of Things. In2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)2023 Aug 23 (pp. 1661-1665). IEEE.
  10. Kazi K. AI-driven IoT (AIIoT) in healthcare monitoring. InUsing Traditional Design Methods to Enhance AI-Driven Decision Making 2024 (pp. 77-101). IGI Global Scientific Publishing.
  11. Kazi K. Modelling and simulation of electric vehicle for performance analysis: BEV and HEV electrical vehicle implementation using Simulink for E-mobility ecosystems. InE-Mobility in Electrical Energy Systems for Sustainability 2024 (pp. 295-320). IGI Global.
  12. Kazi KS. Machine Learning-Powered IoT (MLIoT) for Retail Apparel Industry. InSustainable Practices in the Fashion and Retail Industry 2025 (pp. 345-372). IGI Global Scientific Publishing.
  13. Kazi KS. Braille-Lippi Numbers and Characters Detection and Announcement System for Blind Children Using KSK Approach: AI-Driven Decision-Making Approach. InDriving Quality Education Through AI and Data Science 2025 (pp. 531-556). IGI Global Scientific Publishing.
  14. Kazi KS. AI-Driven IoT (AIIoT)-Based Decision-Making System for High BP Patient Healthcare Monitoring: KSK1 Approach for BP Patient Healthcare Monitoring. InOptimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications 2025 (pp. 71-102). IGI Global Scientific Publishing.
  15. Kazi KS. Advancing Towards Sustainable Energy With Hydrogen Solutions: Adaptation and Challenges. InGeopolitical Landscapes of Renewable Energy and Urban Growth 2025 (pp. 357-394). IGI Global Scientific Publishing.
  16. Kazi KS. AI-Driven-IoT (AIIoT) Decision-Making System for Hepatitis Disease Patient Healthcare Monitoring: KSK1 Approach for Hepatitis Patient Monitoring. InNavigating Innovations and Challenges in Travel Medicine and Digital Health 2025 (pp. 431-450). IGI Global Scientific Publishing.
  17. Kazi KS. Machine learning-based pomegranate disease detection and treatment. In Revolutionizing Pest Management for Sustainable Agriculture 2024 (pp. 469-498). IGI Global.
  18. Kazi KS. Computer-aided diagnosis in ophthalmology: A technical review of deep learning applications. Transformative Approaches to Patient Literacy and Healthcare Innovation. 2024:112-35.
  19. Kazi KS. IoT driven by machine learning (MLIoT) for the retail apparel sector. InDriving Green Marketing in Fashion and Retail 2024 (pp. 63-81). IGI Global.
  20. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)2024 Dec 12 (pp. 1735-1744). IEEE.
  21. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT)Based Decision-Making-KSK Approach in Drones for Climate Change Study. In 2024 IEEE 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS).2024 Dec 12; 1735–1744.
  22. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In 2024 IEEE 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS).2024 Dec 12; 1735–1744.
  23. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In 2024 IEEE 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). 2024 Dec 12; 1735–1744.
  24. Sayyad Liyakat KK, Konnur RG. Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors. Grenze Int J Eng Technol. 2024 Jun 15; 10: 5368–5374.
  25. KSK. A Novel Approach on ML based Palmistry. Grenze Int J Eng Technol. 2024; 10(2): 5186– 93. Available from: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3344&id=8.
  26. KSK. IoT based Boiler Health Monitoring for Sugar Industries. Grenze Int J Eng Technol. 2024; 10(2): 5178–85. Available from: https://thegrenze.com/index.php?display=page&view=journal abstract&absid=3343&id=8.
  27. Keerthana R, K MV, Bhagyalakshmi K, Papinaidu M, V V, Liyakat KKS. Machine Learning Based Risk Assessment for Financial Management in Big Data IoT Credit. SSRN Electronic Journal. 2025. doi:10.2139/ssrn.5086671
  28. Explainable Artificial Intelligence in Healthcare Systems. 2024. doi:10.52305/gomr8163
  29. Kazi KSL. Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2024:16-39. doi:10.4018/979-8-3693-3033-3.ch002
  30. Liyakat KKS. Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks. Algorithms for Intelligent Systems. 2023:27-37. doi:10.1007/978-981-99-4577-1_3
  31. Liyakat Kazi KS. ChatGPT. Advances in Computational Intelligence and Robotics. 2024:1-20. doi:10.4018/979-8-3693-4268-8.ch001
  32. Liyakat. IoT Technologies for the Intelligent Dairy Industry: A New Challenge. In: Thandekkattu S, Vajjhala N, editors. Designing Sustainable Internet of Things Solutions for Smart Industries. IGI Global; 2025; 321–50. h
  33. Liyakat KKS. Heart Health Monitoring Using IoT and Machine Learning Methods. In: Shaik A, editor. AI-Powered Advances in Pharmacology. IGI Global; 2025; 257–82. https://doi.org/10.4018/ 979-8-3693-3212-2.ch010.
  34. Kazi KSL. AI-Driven-IoT(AIIoT)-Based Decision Making in Kidney Diseases Patient Healthcare Monitoring. Advances in Healthcare Information Systems and Administration. 2024:277-306. doi:10.4018/979-8-3693-7277-7.ch009
  35. Liyakat KKS. Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks. Lecture Notes in Networks and Systems. 2023:123-134. doi:10.1007/978-981-99-3932-9_12
  36. Pradeepa M, et al. Student Health Detection using a Machine Learning Approach and IoT. 2022 IEEE 2nd MysuruCon; 2022. Available from: https://ieeexplore.ieee.org/document/9972445.
  37. Mahant MA. Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System. In: Wickramasinghe N, editor. Digitalization and the Transformation of the HealthcareSector. IGI Global; 2025; 205–36. https://doi.org/10.4018/979-8-3693-9641-4.ch007.ttps://doi.org/10.4018/979-8-3693-5498-8.ch012
  38. Liyakat KKS. Heart Health Monitoring Using IoT and Machine Learning Methods. Advances in Medical Technologies and Clinical Practice. 2024:257-282. doi:10.4018/979-8-3693-3212-2.ch010
  39. Kazi KSL. AI-Driven-IoT(AIIoT)-Based Decision Making in Kidney Diseases Patient Healthcare Monitoring. Advances in Healthcare Information Systems and Administration. 2024:277-306. doi:10.4018/979-8-3693-7277-7.ch009
  40. Liyakat KKS. Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks. Lecture Notes in Networks and Systems. 2023:123-134. doi:10.1007/978-981-99-3932-9_12
  41. Pradeepa M, et al. Student Health Detection using a Machine Learning Approach and IoT. 2022 IEEE 2nd MysuruCon; 2022. Available from: https://ieeexplore.ieee.org/document/9972445.
  42. Kazi KSL, Mahant MA. Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System. Advances in Medical Technologies and Clinical Practice. 2024:205-236. doi:10.4018/979-8-3693-9641-4.ch007
  43. Mulani AO, Liyakat KKS, Warade NS, et al. ML-powered Internet of Medical Things Structure for Heart Disease Prediction. J Pharmacol Pharmacother. 2025; 0(0). https://doi.org/10.1177/097 6500X241306184.
  44. Odnala S, Shanthy R, Bharathi B, Pandey C, Rachapalli A, Liyakat KKS. Artificial Intelligence and Cloud-Enabled E-Vehicle Design with Wireless Sensor Integration. SSRN Electronic Journal. 2025. doi:10.2139/ssrn.5107242
  45. Neeraja P, Kumar RG, Kumar MS, Liyakat KKS, Vani MS. DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring. 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). 2024:589-594. doi:10.1109/ic2pct60090.2024.10486714
  46. Magadum PK. Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems. Grenze Int J Eng Technol. 2024; 10(1): 2074–80. Available from: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=2514&id=8.
  47. Nerkar PM, Dhaware BU. Predictive Data Analytics Framework Based on Heart Healthcare System (HHS) Using Machine Learning. J Adv Zool. 2023; 44(Suppl 2): 3673–86. Available from:https://jazindia.com/index.php/jaz/article/view/1695.
  48. IOT-BASED SKIN HEALTH MONITORING SYSTEM. International Journal of Biology, Pharmacy and Allied Sciences. 2024;13(11). doi:10.31032/ijbpas/2024/13.11.8488
  49. Sayyad Liyakat KK, Khadake SB, Chounde AB, Suryagan AA, H. M. M, Khadatare MR. AI-Driven-IoT(AIIoT) Based Decision Making System for High-Blood Pressure Patient Healthcare Monitoring. 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). 2024:96-102. doi:10.1109/icscna63714.2024.10863954
  50. Kazi KSL. AI-Powered-IoT (AIIoT)-Based Decision-Making System for BP Patient's Healthcare Monitoring. Advances in Computational Intelligence and Robotics. 2024:205-238. doi:10.4018/979-8-3693-6502-1.ch008
  51. Kazi KSL. AI-Powered IoT (AI IoT) for Decision-Making in Smart Agriculture. Advances in Computational Intelligence and Robotics. 2024:67-96. doi:10.4018/979-8-3693-6230-3.ch003
  52. Kazi KSL. KK Approach to Increase Resilience in Internet of Things. Advances in Information Security, Privacy, and Ethics. 2024:87-120. doi:10.4018/979-8-3693-9491-5.ch005
  53. Sayyad. KK Approach for IoT Security: T-Cell Concept. In: Kumar R, Peng SL, Elngar A, editors. Deep Learning Innovations for Securing Critical Infrastructures. IGI Global Scientific Publishing;2025.
  54. Kazi KSL. Healthcare Monitoring System Driven by Machine Learning and Internet of Medical Things (MLIoMT). Advances in Healthcare Information Systems and Administration. 2025:385-416. doi:10.4018/979-8-3693-6180-1.ch016
  55. Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine Learning for Brand Protection: A Review of a Proactive Defense Mechanism. In: Khan M, Amin Ul Haq M, editors. Avoiding Ad Fraud and Supporting Brand Safety. IGI Global; 2025; 175–220. https://doi.org/10.4018/979-8-3693-7041- 4.ch007.
  56. Upadhyaya AN, Surekha C, Malathi P, Suresh G, Suriyan K, Liyakat KKS. Pioneering Cognitive Computing for Transformative Healthcare Innovations. SSRN Electronic Journal. 2025. doi:10.2139/ssrn.5086894
  57. Kutubuddin KSK. Approach in LOVE Health: AI-Driven-IoT (AIIoT) based Decision Making System in LOVE Health for Loved One. GRENZE Int J Eng Technol. 2025; 11(1): 4628–35. Grenze ID: 01.GIJET.11.1.371_1.
  58. Liyakat KKS. Multimedia Technology in Healthcare: A Study. J Multimedia Technol Recent Adv. 2025; 12(1): 23–9.
  59. Liyakat KKS. TensorFlow-Based Big Data Analytics for IoT Networks: A Study. Int J Data Struct Stud. 2025; 3(1): 32–40.
  60. Liyakat KKS. Brand Protection Using Machine Learning: A New Era. E-Commerce Future Trends. 2025; 12(1): 33–44.
  61. Dhanve, Liyakat KKS. Machine Learning Forges a New Future for Metal Processing: A Study. Int J Artif Intell Mech Eng. 2025; 1(1): 1–12.
  62. Liyakat KKS. e-Skin Applications in Healthcare and Robotics: A Study. J Adv Robot. 2025; 12(1):13–21.
  63. Liyakat KKS. Millimeter Wave in Internet of Things Connectivity: A Study. Int J Wirel Secur Netw. 2025; 3(1): 13–23.
  64. Liyakat KKS. TensorFlow-Based Big Data Analytics for IoT Networks: A Study. Int J Data Struct Stud. 2025; 3(1): 31–8.
  65. Liyakat KKS. Multimedia Technology in Healthcare: A Study. J Multimedia Technol Recent Adv. 2025; 12(1): 23–9.
  66. Patil JM. Robotic Surgery using AI-Driven-IoT Based Decision Making for Safety: A Study. Int J Artif Intell Things Commun Ind. 2025; 1(1): 35–44.62. Liyakat KKS. VHDL Programming for Secure True Random Number Generators in IoT Security. Res Rev Electron Commun Eng. 2025; 2(1): 38–47.
  67. Liyakat KKS. E-Commerce and AI: Product Recommendation and Pricing. J Artif Intell Res Adv. 2025; 12(2): 44–52.
  68. Kazi KSL. AI-Driven-IoT (AIIoT)-Based Jawar Leaf Disease Detection. Advances in Computational Intelligence and Robotics. 2025:439-472. doi:10.4018/979-8-3693-9045-0.ch019
  69. Kazi KSL. AI-Powered-IoT (AIIoT)-Based Decision-Making System for BP-Patient Healthcare Monitoring. Advances in Computational Intelligence and Robotics. 2025:189-218. doi:10.4018/979-8-3693-6270-9.ch007
  70. Kazi KSL. A Study on AI-Driven Internet of Battlefield Things (IoBT)-Based Decision Making. Advances in Computational Intelligence and Robotics. 2025:203-238. doi:10.4018/979-8-3693-8547-0.ch007
  71. Kazi KSL. KK Approach to Increase Resilience in Internet of Things. Advances in Information Security, Privacy, and Ethics. 2025:199-228. doi:10.4018/979-8-3693-8014-7.ch010
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