PERFORMANCE ANALYSIS OF ENERGY CONSUMPTION BASED ALGORITHMIC APPROACH MODEL TO ENHANCE BATTERY LIFE

Published 31 December 2020 •  vol 13  •  no 2  • 


Authors:

 

P Sai Bhaskar, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam-530049, India
B. Dinesh Reddy, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam-530049, India
N. Thirupathi Rao, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam-530049, India
Debnath Bhattacharyya, Department of Computer Science and Engineering, K L Deemed to be University, KLEF, Guntur, AP, India

Abstract:

 

One of the most intriguing topics over the past few years has been minimizing energy consumption in convenient gadgets and enhancing their battery life. The production of portable devices has made society's work more accessible and has increased comfort levels by using those devices to the maximum threshold. Batteries fuel such gadgets. Most of the companies invest their time, energy, and money looking for new ideas for increasing battery life, and most of these ideas are related to hardware. Their uptime subsequently depends on the vitality utilization of the parts and components. By exploring fresh approaches that empower frameworks to adjust powerfully at runtime, energy utilization can be effectively decreased. This article focuses on employing a portion of vitality administration that can dynamically select the most excellent calculation so that a battery can have maximum life and utilization. The analysis shows that quicksort is the first viable sorting approach when it comes to vitality sorting; For Minimal Spanning Tree: Prims, For Graph Searching: BFS and For Implementing and Searching Trees: RBT.

Keywords:

 

Optimization, Mobile Information Systems, Software Engineering, Adaptivity, Energy Awareness

References:

 

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Citations:

 

APA:
Sai Bhaskar, P., Dinesh Reddy, B., Thirupathi Rao, N. and Bhattacharyya, D., (2020). Performance Analysis of Energy Consumption Based Algorithmic Approach Model to Enhance Battery Life. International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, 13(2), 41-50. doi: 10.33832/ijgdc.2020.13.2.03.

MLA:
Sai Bhaskar, P, et al. “Performance Analysis of Energy Consumption Based Algorithmic Approach Model to Enhance Battery Life.” International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 13, no. 2, 2020, pp. 41-50. IJGDC, http://article.nadiapub.com/IJGDC/vol13_no2/3.html.

IEEE:
[1] P. Sai Bhaskar, B. Dinesh Reddy, N. Thirupathi Rao, and D. Bhattacharyya, "Performance Analysis of Energy Consumption Based Algorithmic Approach Model to Enhance Battery Life." International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 13, no. 2, pp. 41-50, December 2020.