Authors: Fateh Boutekkouk
Addresses: Research Laboratory on Computer Science's Complex Systems ReLaCS2, University of Oum El Bouaghi, P.O. Box 358, 04000, Algeria
Abstract: Intelligent embedded systems (IES) and their distributed versions, represent a novel and promising generation of embedded systems. IES have the capacity of reasoning about their external environments and adapt their behaviour accordingly. Such systems are situated in the intersection of two different branches, which are the embedded computing and the intelligent computing. On the other hand, intelligent embedded software (IESo) is becoming a large part of the engineering cost of intelligent embedded systems. IESo can include some artificial intelligence-based systems such as expert systems, neural networks and other sophisticated artificial intelligence (AI) models to guarantee some important characteristics such as self-learning, self-optimising and self-adaptation. Despite, the wide spread of such systems, some design challenging issues are arising. Designing a resource constrained software and at the same time intelligent is not a trivial task especially in a real-time context. To deal with this dilemma, embedded systems researchers have profited from the progress in semiconductor technology to develop specific hardware to support well AI models and render the integration of AI with the embedded world a reality.
Keywords: embedded systems; ad hoc networks; codesign; artificial intelligence; intelligent embedded systems; IES.
International Journal of Ad Hoc and Ubiquitous Computing, 2019 Vol.32 No.4, pp.257 - 269
Available online: 21 Oct 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article