ENERGY MANAGEMENT IN MICROPROCESSOR-DRIVEN CIRCUIT DESIGN USING SLEEP MODES
Abstract
The article explores the important significance of sleep mode in the design of microprocessorcentric electronic devices, emphasising energy efficiency, device longevity and environmental sustainability. Sleep mode enables devices to enter low-power states during periods of inactivity, conserving energy and extending battery life. Various levels of sleep modes are examined, ranging from light to deep sleep, each with unique power savings and system responsiveness advantages.1
The article also presents a case study involving an electronic circuit controlling sensors, actuators, LTE, WiFi and a geolocation module, where sleep mode is utilised to optimise power consumption. The system operates at varying activity levels, and the employment of sleep modes such as light sleep, deep sleep and hibernation, results in energy savings exceeding 70%. Light Sleep offers rapid responsiveness with moderate power savings, while Deep Sleep and Hibernate Mode maximise energy efficiency but require longer wake-up times. The design approach emphasises the importance of managing the system components carefully, and transitioning between different power modes to ensure an optimal balance between energy conservation and performance.
Finally, the article discusses the broader environmental impact of sleep mode, noting its contribution to reducing devices' energy demands and carbon footprints. By integrating effective sleep mode strategies, designers can create energy-efficient systems that meet both consumer expectations and environmental responsibilities, supporting sustainability efforts in electronic device design.
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References
A. K. Meier: New standby power targets, Energy Efficiency 12, 175–186, https://doi.org/10.1007/s12053-018-9677-x, 2019
L. Mcgarry: Standby power challenge, 2004 International IEEE Conference on the Asian Green Electronics (AGEC). Proceedings of, Hong Kong, China & Shenzhen, China, pp. 56-62, doi: 10.1109/AGEC.2004.1290867, 2004
S. Eden: The Standby Generation: Electricity Low-Power Mode and Sociotechnical Change, Environment and Planning A 2012, volume 44, pages 509 ^ 512
H. Wu, C. Chen, K. Weng: An Energy-Efficient Strategy for Microcontrollers Applied Sciences, 11(6), 2581, https://doi.org/10.3390/app11062581, 2020
C. Hou and Q. Zhao: A New Optimal Algorithm for Energy Saving in Embedded System With Multiple Sleep Modes, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 2, pp. 706-719, Feb. 2016, doi: 10.1109/TVLSI.2015.2414827
W. Ejaz, M. Naeem, A. Shahid, A. Anpalagan and M. Jo: Efficient Energy Management for the Internet of Things in Smart Cities, in IEEE Communications Magazine, vol. 55, no. 1, pp. 84-91, January 2017, doi: 10.1109/MCOM.2017.1600218CM
Z. Wang and Y. Wu: A new paradigm on battery powered embedded system design based on User-Experience-Oriented method, 2nd International Conference on Mathematical Modeling in Physical Sciences, doi:10.1088/1742-6596/490/1/012115, 2013
R. Chéour, S. Khriji, M. abid and O. Kanoun: Microcontrollers for IoT: Optimizations, Computing Paradigms, and Future Directions, 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, pp. 1-7, doi: 10.1109/WF-IoT48130.2020.9221219, 2020
Ecodesign requirements in the EU, https://europa.eu/youreurope/business/product-requirements/compliance/ecodesign/index_en.htm
G. May, B. Stahl, M. Taisch and D. Kiritsis: Energy management in manufacturing: From literature review to a conceptual framework, Journal of Cleaner Production, Volume 167, Pages 1464-1489, doi.org/10.1016/j.jclepro.2016.10.191, 2017
R. Fassler: Efficiency Regulations: Driving power conversion efficiency designs, in IEEE Power Electronics Magazine, vol. 4, no. 1, pp. 19-24, March 2017, doi: 10.1109/MPEL.2016.2642518
H. Wu, C. Chen, K. Weng: An Energy-Efficient Strategy for Microcontrollers, Appl. Sci. 11(6), 2581; https://doi.org/10.3390/app11062581, 2021
C. Hou and Q. Zhao: A New Optimal Algorithm for Energy Saving in Embedded System With Multiple Sleep Modes, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 2, pp. 706-719, Feb. 2016, doi: 10.1109/TVLSI.2015.2414827
M. Brocanelli and X. Wang: Making Smartphone Smart on Demand for Longer Battery Life, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA, USA, pp. 2288-2293, doi: 10.1109/ICDCS.2017.263, 2017
X. Chen, A. Jindal, N. Ding, Y. C. Hu, M. Gupta and R. Vannithamby: Smartphone Background Activities in the Wild: Origin, Energy Drain, and Optimization, doi.org/10.1145/2789168.2790107
R. Muralidhar, R. Borovica-Gajic, R. Buyya, Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards, ACM Computing SurveysVolume 54Issue 11sArticle No.: 236pp 1–37https://doi.org/10.1145/3511094
Gerber, D. L., Meier, A., Liou, R., & Hosbach, R: Emerging Zero-Standby Solutions for Miscellaneous Electric Loads and the Internet of Things, Electronics, 8(5), 570, https://doi.org/10.3390/electronics8050570, 2019
P. Brand, J. Falk, J. A. Sue, J. Brendel, R. Hasholzner and J. Teich: Adaptive Predictive Power Management for Mobile LTE Devices, in IEEE Transactions on Mobile Computing, vol. 20, no. 8, pp. 2518-2535, 1 Aug. 2021, doi: 10.1109/TMC.2020.2988651
B. Chen and X. Shen: A Power Optimized Method for Mode Switching in Android Systems, doi: 10.4108/eai.9-10-2017.159797