• Satyanarayan Kanungo
• Amrendra Kumar
• Rajendra Zagade

The Internet of Things (IoT) has revolutionized various industries by enabling seamless connectivity and data exchange among numerous devices. However, the widespread adoption of IoT has also led to significant energy consumption challenges, particularly in distributed computing environments. This research aims to address the issue of energy optimization in IoT systems deployed in distributed computing architectures. The objective is to develop efficient techniques and algorithms to minimize energy consumption while maintaining the desired performance levels. The research begins with a comprehensive literature review, which examines the existing body of knowledge on energy optimization in IoT and distributed computing. Various algorithms, methodologies, and approaches are evaluated to identify gaps and opportunities for improvement. Next, a novel methodology is proposed for optimizing energy consumption in IoT systems deployed in distributed computing environments. The architectural framework for distributed computing in the IoT is described, highlighting the key components and their interactions. Data collection and analysis methods are outlined to facilitate the evaluation of energy consumption patterns and the identification of factors that contribute to energy inefficiencies. A detailed analysis of energy consumption in IoT devices and architectures is conducted, considering different scenarios and use cases. This analysis serves as the basis for developing energy optimization techniques. Existing techniques are examined, and a comparative analysis is performed to determine their effectiveness. Additionally, novel techniques or improvements to existing methods are proposed to enhance energy efficiency further. Experimental evaluations are conducted to validate the proposed techniques and algorithms. An experimental environment is set up, and energy consumption is measured before and after applying the optimization techniques. The results are analyzed and compared to assess the effectiveness of the proposed approach. This research's findings contribute to the field by providing insights into energy optimization for IoT in distributed computing. The proposed techniques offer tangible benefits in terms of reduced energy consumption, thereby extending the battery life of IoT devices and promoting sustainability. The limitations of the research are discussed, and potential areas for future work are identified.

Energy Optimization, IoT (Internet of Things), Distributed Computing, Energy Consumption, Energy Efficiency, Power Management.

"OPTIMIZING ENERGY CONSUMPTION FOR IOT IN DISTRIBUTED COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.k514-k522, June-2022, Available :http://www.jetir.org/papers/JETIR2206A70.pdf

"OPTIMIZING ENERGY CONSUMPTION FOR IOT IN DISTRIBUTED COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppk514-k522, June-2022, Available at : http://www.jetir.org/papers/JETIR2206A70.pdf