Journal of Computers, Mechanical and Management https://jcmm.co.in/index.php/jcmm <p>The <em>Journal of Computers, Mechanical and Management (JCMM)</em> [e-ISSN: 3009-075X] is a peer-reviewed, open-access journal published by AAN Publishing, Malaysia. It publishes research in Engineering, Basic Sciences, Humanities, and Management, providing a platform for researchers to share new ideas and findings.</p> <p>There is <strong>no Article Processing Charge (APC) until December 2025</strong>. From <strong>January 2026 onwards</strong>, an <strong>APC of USD 250 per article</strong> will apply.</p> <p>For more details, visit our <a href="https://jcmm.co.in/index.php/jcmm/about" target="_blank" rel="noopener">About JCMM</a> page.</p> AAN Publishing en-US Journal of Computers, Mechanical and Management 3009-075X <p>The <em>Journal of Computers, Mechanical and Management</em> applies the <a href="http://creativecommons.org/licenses/by-nc/4.0/"><em>CC Attribution- Non-Commercial 4.0 International License</em> </a>to its published articles. While retaining copyright ownership of the content, the journal permits activities such as downloading, reusing, reprinting, modifying, distributing, and copying of the articles, as long as the original authors and source are appropriately cited. Proper attribution is ensured by citing the original publication.</p> The Role of Edge Computing in Enhancing the Performance of Smart City Applications https://jcmm.co.in/index.php/jcmm/article/view/199 <p>The rapid proliferation of smart city initiatives has generated vast amounts of data from heterogeneous sources, including sensors, Internet of Things (IoT) devices, and mobile applications. Traditional cloud infrastructures face high latency, bandwidth constraints, and scalability issues in handling such massive real-time data streams. Edge computing addresses these limitations by decentralizing data processing and bringing computation closer to the data source. This paradigm enables faster response, lower latency, optimized bandwidth use, and improved resilience. For applications such as traffic management, public safety, energy optimization, and environmental monitoring, edge computing significantly enhances efficiency and scalability. This paper investigates the role of edge computing in smart city applications, discusses benefits and challenges, and presents performance models focusing on latency reduction, bandwidth optimization, and energy efficiency. The study highlights how edge computing can be integrated into sustainable smart city frameworks to enhance urban living standards.</p> Naresh Thoutam Amit Gadekar Akhilesh Kumar Sharma Vijay Rakhade Megha Singru Ankita Karale Copyright (c) 2025 Journal of Computers, Mechanical and Management https://creativecommons.org/licenses/by-nc/4.0 2025-08-31 2025-08-31 4 4 1 9 10.57159/jcmm.4.4.25199 A Blockchain-Based Framework for Secure Communication in Smart IoT Systems https://jcmm.co.in/index.php/jcmm/article/view/209 <p>Blockchain technology has emerged as a promising paradigm for addressing the inherent vulnerabilities of Internet of Things (IoT) networks. Conventional IoT systems rely on centralized architectures that are prone to single points of failure, data breaches, and unauthorized access. This paper presents a blockchain-enabled secure communication framework for smart IoT systems that integrates symmetric encryption, distributed ledger validation, and smart-contract–driven access control. The proposed model is formalized through mathematical definitions of encryption, hashing, and contract execution, and validated using simulation tools such as NS-3 and Ethereum-based test environments. Comparative results demonstrate that the framework significantly improves communication security, data integrity, and resistance to cyberattacks while reducing latency and energy consumption relative to traditional models. The findings suggest that blockchain integration provides a scalable, resilient, and efficient foundation for trustworthy IoT communication in smart environments.</p> Chetan Chauhan Pradeep Laxkar Ram Kumar Solanki Sunil Parihar Anand Singh Rajawat Amit R. Gadekar Copyright (c) 2025 Journal of Computers, Mechanical and Management https://creativecommons.org/licenses/by-nc/4.0 2025-08-31 2025-08-31 4 4 10 18 10.57159/jcmm.4.4.25209 Advancing Sustainable Transportation https://jcmm.co.in/index.php/jcmm/article/view/204 <p>Electric vehicles (EVs) have emerged as a central pathway for decarbonizing transport, yet sustained adoption depends on coordinated progress in technology, infrastructure, and policy. This mini-review synthesizes recent evidence on environmental performance, market growth, and enabling systems for large-scale electrification. First, it consolidates technical and life-cycle findings that indicate lower greenhouse gas emissions and higher energy-conversion efficiency for EVs relative to internal combustion engine vehicles, with advantages strengthening as grids decarbonize. Second, it examines charging infrastructure typologies and deployment patterns, highlighting the complementary roles of Level 2 and DC fast charging and the need for reliability, interoperability, and grid-aware siting. Third, it analyzes policy instruments—financial incentives, regulatory mandates, and planning frameworks—and compares national approaches to illustrate how instrument mixes shape outcomes. Persistent challenges include upfront affordability, uneven access to charging, grid integration under peak demand, and battery material sustainability. The review identifies future directions in managed and bidirectional charging, data-driven planning, AI-enabled operations, and circular economy practices for batteries, alongside equity-focused governance. Collectively, these insights outline a coherent agenda for scaling EV adoption while aligning climate mitigation with resilient and inclusive mobility.</p> Munmun Kakkar Swati Joshi Ram Kumar Solanki Anand Singh Rajawat S B Goyal Manisha Wasnik Copyright (c) 2025 Journal of Computers, Mechanical and Management https://creativecommons.org/licenses/by-nc/4.0 2025-08-31 2025-08-31 4 4 19 28 10.57159/jcmm.4.4.25204