American International Journal of Advanced Research and Development

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

IoT Applications for Intelligent Resource Management Systems

Author(s) Dr. Ethan Richardson
Country New Zealand
Abstract The Internet of Things (IoT) has emerged as an important technological foundation for intelligent resource management by enabling continuous sensing, communication, monitoring, and analysis of physical and operational resources. The integration of IoT sensors with artificial intelligence, machine learning, edge computing, cloud platforms, and data analytics allows organizations to monitor resource utilization and develop more responsive management strategies. This study examines IoT applications for intelligent resource management systems, focusing on real-time sensing, resource monitoring, data analytics, predictive management, automation, energy optimization, and intelligent allocation.
A qualitative descriptive and conceptual research design was adopted using secondary academic literature. The analysis indicates that IoT-enabled resource management can improve the utilization of energy, water, materials, equipment, agricultural resources, transportation assets, and organizational infrastructure. Continuous sensor data can identify consumption patterns, detect abnormal conditions, estimate future requirements, and support timely allocation decisions. Edge computing can provide rapid local processing, while cloud platforms enable large-scale data storage and analytical operations. Artificial intelligence can further support predictive demand estimation, anomaly detection, and automated resource optimization.
Despite these capabilities, challenges related to data quality, interoperability, cybersecurity, privacy, energy consumption, scalability, and system complexity remain significant. The study concludes that IoT applications can strengthen resource management by connecting physical resources with intelligent monitoring and decision-making mechanisms. Future research should emphasize adaptive resource allocation, AI-enabled optimization, energy-efficient IoT architectures, secure data management, edge intelligence, interoperability, and sustainable resource utilization.
Keywords Internet of Things, Resource Management, Intelligent Systems, IoT Applications, Resource Optimization, Artificial Intelligence, Machine Learning, Smart Systems, Edge Computing, Sustainable Management
Field Engineering
Published In Volume 5, Issue 1, January-February 2023
Published On 2023-02-13
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AIJARD is 10.00000/AIJARD

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJARD
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@aijard.com