https://www.asianssr.org/index.php/ajct <p><a href="https://www.ugc.ac.in/journallist/subjectwisejurnallist.aspx?tid=MjM1MDExNDY=&amp;&amp;did=U2VhcmNoIGJ5IElTU04=">AJCT </a>&nbsp; is Published under the Asian Scoiety for Scientific Reserach&nbsp; .This Society is dedicated to Improve the quality of Research Education. ASSR has taken responsibly to educate some of Orphan Child. The 2% of Journal publication fees will be given to child education Fund.</p> ASIAN SOCIETY FOR SCIENTIFIC RESEARCH en-US Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146 2350-1146 <div align="justify"> <p><strong>To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed. This form is intended for original material submitted to AJCT and must accompany any such material in order to be published by AJCT. 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In that case, AJCT assumes that when you sign this Form, you are authorized to do so by your employer and that your employer has consented to the transfer of copyright, to the representation and warranty of publication rights, and to all other terms and conditions of this Form. If such authorization and consent has not been given to you, an authorized representative of your employer should sign this Form as the Author.<br>Reprint/Republication Policy<br>AJCT requires that the consent of the first-named author and employer be sought as a condition to granting reprint or republication rights to others or for permitting use of a Work for promotion or marketing purposes.</p> <p>GENERAL TERMS</p> <p>1. The undersigned represents that he/she has the power and authority to make and execute this assignment.<br>2. The undersigned agrees to indemnify and hold harmless AJCT from any damage or expense that may arise in the event of a breach of any of the warranties set forth above.<br>3. In the event the above work is accepted and published by AJCT and consequently withdrawn by the author(s), the foregoing copyright transfer shall become null and void and all materials embodying the Work submitted to AJCT will be destroyed.<br>4. For jointly authored Works, all joint authors should sign, or one of the authors should sign as authorized agent<br>for the others.</p> <p>Licenced by :</p> <p><a href="http://creativecommons.org/licenses/by/4.0/" rel="license">Creative Commons Attribution 4.0 International License</a>.</p> <p>&nbsp;</p> </div> https://www.asianssr.org/index.php/ajct/article/view/1595 <p>Sensor cloud systems play a vital role in Internet of Things (IoT) applications by enabling scalable sensing, data processing, and service provisioning; however, they face significant challenges in terms of energy-efficient scheduling and resource allocation. To address these challenges, this paper proposes a game-theoretic framework for energy-efficient scheduling and resource allocation in sensor cloud systems. The interactions between sensor nodes and cloud resources are modeled as a strategic game, where each entity autonomously optimizes its utility by balancing energy consumption, execution latency, and resource usage. An iterative, distributed scheduling algorithm is developed to achieve a stable equilibrium without centralized control.&nbsp;</p> <p>Extensive simulation-based evaluation demonstrates that the proposed framework significantly reduces overall energy consumption and task completion time while improving resource utilization, throughput, and fairness compared to baseline heuristic approaches. Convergence analysis confirms fast stabilization of the algorithm, and statistical significance tests validate the robustness of the performance gains. The results indicate that the proposed game-theoretic approach provides an effective and scalable solution for energy-efficient scheduling and resource management in sensor cloud environments.</p> Shital Vijay Patil Dr. Rajesh Maharudra Patil ##submission.copyrightStatement## 2026-08-20 2026-08-20 12 2 1 6 https://www.asianssr.org/index.php/ajct/article/view/1596 <p><strong>Managing energy wisely and keeping networks running for the long haul are top priorities in IoT setups, especially when devices pull power from their surroundings. This paper unveils the Energy Harvesting-Aware Routing Algorithm (EHARA), a fresh take on routing that fine-tunes energy use, boosts packet delivery, and cuts down delays. EHARA doesn’t stick to rigid paths—it shifts gears based on how much energy nodes are harvesting and storing at any given moment. When pitted against LEACH and EAR in simulations, EHARA comes out ahead with better delivery rates, leaner energy use, and snappier performance. These outcomes underline its knack for stretching network life and sharpening efficiency, positioning it as a solid pick for IoT systems that need to keep going sustainably. </strong></p> <p></p> Madhavi Ranjeet Patil Dr Rajesh Maharudraa Patil Dr. Nagaraja B.G ##submission.copyrightStatement## 2026-08-20 2026-08-20 12 2 7 11 https://www.asianssr.org/index.php/ajct/article/view/1597 <p><strong>The Sensor Cloud Systems (SCS) have become a promising architecture of combining the large sensor networks with cloud computing to provide scalable data processing and intelligent services. Nonetheless, the issue of efficient scheduling of tasks and allocation of resources in SCS is not an easy task because of the limited sensor energy, dynamism of the workloads, and heterogeneity of the cloud resources. In this paper, it is suggested that an energy-conscious sensor cloud integration model is proposed using the game theory to optimally schedule and assign resources. The framework proposed is based on the premise that the sensors and the cloud nodes are rational players who compete and collaborate in order to maximize individual and system-wide goals. An energy-focused payoff function is aimed at decreasing energy usage and increasing the pace of task completion and use of cloud resources. The vast amount of simulations carried out prove that the suggested game theotic model is much better than the current heuristic and traditional scheduling techniques in energy efficiency, performance of the task and the use of resources. The effectiveness and strength of the suggested approach is proved even more by statistical significance analysis and ablation studies. The findings show that the suggested model provides scalable and efficient model to energy conscious scheduling and resource utilization in sensor cloud settings. </strong></p> Shital Vijay Patil Dr. Rajesh Maharudra Patil ##submission.copyrightStatement## 2026-08-20 2026-08-20 12 2 12 18 https://www.asianssr.org/index.php/ajct/article/view/1598 <p><strong>One of the most significant challenges confronting the Internet of Things relates to security, scalability, and energy efficiency, particularly considering the rapid expansion of this technology. A proposed solution involves implementing traffic routing that is aware of energy harvesting (TRAER), which has the potential to enhance network lifetimes by utilising locally available energy resources.&nbsp; Numerous established protocols exhibit vulnerabilities to a range of cybersecurity threats that have the potential to incapacitate a network.&nbsp; </strong></p> <p><strong>Resilient and dependable IoT networks are created by the Secure and Scalable Energy Harvesting-Aware Routing Algorithm (SS-EHARA) weaving together advanced security features with energy-efficient routing. By means of the distribution of decision-making around the network, SSEHARA can choose paths in a safe and fair manner, therefore lowering the danger of attack and the energy consumption.&nbsp; </strong></p> <p><strong>The results show that the proposed protocol delivers a greater number of packets successfully. It also consumes less energy, and speeds up by minimising latency compared to traditional routing approaches. In larger deployments, it scaled magnificently to accommodate extensive IoT networks.&nbsp; </strong></p> Ms. Madhavi Ranjeet Patil Dr Rajesh Maharudraa Patil Dr. Nagaraja B.G ##submission.copyrightStatement## 2026-08-20 2026-08-20 12 2 19 22