High-level Programming and Symbolic Reasoning on IoT Resource Constrained Devices
Journal Title: EAI Endorsed Transactions on Cognitive Communications - Year 2015, Vol 1, Issue 2
Abstract
While the vision of Internet of Things (IoT) is rather inspiring, its practical implementation remains challenging. Conventional programming approaches prove unsuitable to provide IoT resource constrained devices with the distributed processing capabilities required to implement intelligent, autonomic, and self-organizing behaviors. In our previous work, we had already proposed an alternative programming methodology for such systems that is characterized by high-level programming and symbolic expressions evaluation, and developed a lightweight middleware to support it. Our approach allows for interactive programming of deployed nodes, and it is based on the simple but e ective paradigm of executable code exchange among nodes. In this paper, we show how our methodology can be used to provide IoT resource constrained devices with reasoning abilities by implementing a Fuzzy Logic symbolic extension on deployed nodes at runtime.
Authors and Affiliations
Sal vatore Gaglio, Giuseppe Lo Re, Gloria Martorella, Daniele Peri
Keywords
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- EP ID EP45621
- DOI http://dx.doi.org/10.4108/cogcom.1.2.e6
- Views 391
- Downloads 0
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