Sirine Taleb

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Modern mobile pervasive applications focus on context awareness that monitors a diverse range of personal domains. In order to infer contextual information, most of these applications require the collection of raw data from sensors which are either embedded in personal smartphones or worn by the user. Critical context-aware applications rely on continuous(More)
The availability of a wide range of embedded and external wearable sensors enables the development of new mobile applications with rich contextual information. Unfortunately, acquiring contextual information accurately and instantly comes at the expense of energy consumption and processing overhead. We propose the investigation of an efficient dynamic(More)
We present CAVE, a novel hybrid algorithm for caching in content-oriented networks (CON). It relies on popularity-based caching and content chunk indexing. CAVE is a combination of two existing caching algorithms: WAVE which is a popularity-based scheme, and CONIC which is an index-based scheme. In CAVE, routers run WAVE and CONIC, with WAVE having priority(More)
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