Recent Advancements in Approximate Ubiquitous Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 5220
Special Issue Editor
Special Issue Information
Dear Colleagues,
For decades Dennard scaling, a law describing the area-proportional growth of integrated circuit power use, has provided assurance that every subsequent generation of computing devices will pack more computing power in an even smaller package. However, recently it has become obvious that this observation does not hold true any longer and that future transistors will require more energy for operation and cooling. Due to their small size and limited battery power, ubiquitous computing devices are particularly threatened. At the same time, smartphones, wearables, IoT devices, and drones are becoming critical infrastructure and are expected to carry the burden of advanced computing applications of the future.
To ensure the further proliferation of ubiquitous computing in the light of these imminent physical limitations, we have to reconsider the amount of computation handled by these devices. Approximate computing, whereby the resulting quality is deliberately sacrificed in a controlled manner in order to reduce the amount of computation, has suddenly moved into the spotlight as a viable technique for reducing the resource appetite and ensuring that advanced algorithms of the future run on ubiquitous computing devices.
In this Special Issue, we are particularly interested in showcasing recent advancements in the area of approximate ubiquitous computing, as well as in presenting recent results analyzing the impacts that such techniques might have on future applications, on the sustainability of ubiquitous computing, and on the way ubiquitous computing solutions interact with human users. The topics of interest include, but are not limited to:
- Approximate circuits for ubiquitous computing;
- Approximate computing techniques for modern mobile and wearable devices;
- Approximation-enabled deep learning for resource-constrained devices;
- Hardware–software co-design for approximate mobile and IoT systems;
- Context-aware approximation systems;
- Human perception and approximate computing.
Prof. Dr. Veljko Pejovic
Guest Editor
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Keywords
- approximate computing
- ubiquitous computing
- pervasive computing
- mobile computing
- energy efficiency
- edge computing
- on-device deep learning
- context awareness
- mobile sensing
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