ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
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Paper Title
Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices
Authors
M Bhagya Rekha , K Manjuvani , M Pratibha
Keywords
Battery-aware computing, Edge AI, Energy efficiency, Smart home, IoT devices, Low-power AI
Abstract
The rapid growth of smart home Internet of Things (IoT) devices has increased the demand for intelligent, real-time data processing while operating under strict battery constraints. Edge Artificial Intelligence (Edge AI) enables local data processing on IoT devices, reducing latency and dependency on cloud infrastructures. However, continuous AI inference can significantly drain battery resources, limiting device lifetime and reliability. This paper proposes a Battery-Aware Edge AI framework for Energy-efficient smart home IoT devices. The framework dynamically adapts AI workloads based on a battery state, device usage patterns, and environmental context. By integrating battery-aware scheduling, lightweight machine learning models, and adaptive inference mechanisms, the proposed approach significantly reduces energy consumption while maintaining acceptable performance. Experimental evaluation using simulated smart home scenarios demonstrates improvements in battery lifetime, reduced power consumption, and efficient AI-driven decision-making. The proposed framework offers a practical solution for a sustainable and long-lasting smart home IoT systems.
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IJCRT — journal style
"Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 1, page no.f231-f237, January 2026, Available :https://ijcrt.org/papers/IJCRT2601648.pdf
APA — 7th edition
Rekha, M. B., Manjuvani, K., & Pratibha, M. (2026). Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices. International Journal of Creative Research Thoughts, 14(1), f231-f237. https://doi.org/10.56975/ijcrt.v14i1.300883
MLA — 9th edition
Rekha, M Bhagya, et al. "Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices." International Journal of Creative Research Thoughts, vol. 14, no. 1, 2026, pp. f231-f237, https://doi.org/10.56975/ijcrt.v14i1.300883.
Chicago — 17th, bibliography
Rekha, M Bhagya, K Manjuvani, and M Pratibha. "Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices." International Journal of Creative Research Thoughts 14, no. 1 (2026): f231-f237. https://doi.org/10.56975/ijcrt.v14i1.300883.
Harvard — author–date
Rekha, M.B., Manjuvani, K. and Pratibha, M. (2026) 'Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices', International Journal of Creative Research Thoughts, 14(1), pp. f231-f237. Available at: https://doi.org/10.56975/ijcrt.v14i1.300883
IEEE — numbered reference
M. B. Rekha, K. Manjuvani and M. Pratibha, "Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices," IJCRT, vol. 14, no. 1, pp. f231-f237, Jan. 2026, doi: 10.56975/ijcrt.v14i1.300883.
Vancouver — biomedical
Rekha MB, Manjuvani K, Pratibha M. Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices. IJCRT. 2026 Jan;14(1):f231-f237. doi: 10.56975/ijcrt.v14i1.300883
AMA — 11th edition
Rekha MB, Manjuvani K, Pratibha M. Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices. IJCRT. 2026;14(1):f231-f237. doi:10.56975/ijcrt.v14i1.300883
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2601648,
author = {M Bhagya Rekha and K Manjuvani and M Pratibha},
title = {Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {1},
pages = {f231-f237},
year = {2026},
month = {January},
issn = {2320-2882},
doi = {10.56975/ijcrt.v14i1.300883},
url = {https://doi.org/10.56975/ijcrt.v14i1.300883}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Rekha, M Bhagya
AU - Manjuvani, K
AU - Pratibha, M
TI - Battery-Aware Edge AI for Energy-Efficient Smart Home IoT Devices
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 1
PY - 2026
SN - 2320-2882
DO - 10.56975/ijcrt.v14i1.300883
UR - https://doi.org/10.56975/ijcrt.v14i1.300883
SP - f231-f237
ER -
Issue
Volume 14 Issue 1,
January-2026
Pages : f231-f237
Article Information
- Pages
- f231-f237
- Published
- January 2026
- Registration ID
- IJCRT_300883
- Published Paper ID
- IJCRT2601648
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- hyderabad, Telangana, India
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- Request Peer Review Report
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- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
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- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2601648.pdf
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International Journal of Creative Research Thoughts
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