Intelligent approach to minimizing power consumption in a cloud-based system collecting sensor data and monitoring the status of powered wheelchairs

Okonor, Ogechukwu, Adda, Mo, Gegov, Alex, Sanders, David, Haddad, Malik Jamal Musa and Tewkesbury, Giles (2020) Intelligent approach to minimizing power consumption in a cloud-based system collecting sensor data and monitoring the status of powered wheelchairs. In: Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1.

Abstract

This paper proposes an intelligent approach to minimizing power consumption in a cloud-based system collecting sensor data and monitoring the status of powered wheelchairs. The powered wheelchairs will be equipped with sensors and the system collects sensor data to track daily activities and locations. The proposed cloud-based system will allow caregivers real-time access to information generated by the wheelchairs. Cloud computing has emerged as the leading paradigm for information technology. The recent growth of the internet and significant innovation have accelerated the development of many distributed computing schemes and cloud computing has gained wide acceptance. There are still some draw backs though. For example, cloud network power consumption is increasing. This has led to providers increasing the sizes and numbers of data centres. The high-power consumption of each data centre is concerning so an improved method with some level of intelligence is used to minimize power used in the data centre network. Power models are mathematically represented. The mechanism described will be able to regulate activities in a centre and switch-off inactive switches and links. Servers and network activities will be consolidated to make them more energy efficient.

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