In developing new applications for green wireless media, power-efficient paradigms and distributed platforms for pervasive sensing, efficient fusion, QoE dissemination, and real-time recovery of multimedia data are of paramount importance. In particular, these topics are challenging in MWSN applications to be compliant with the green wireless media paradigm. In this article, we review the current state of the art in green QoE MWSNs, with reference to mobile users and remote applications. At first, the most relevant aspects regarding the fusion, storage, transmission, and retrieval of multimedia data are reviewed and critically discussed. Afterward, we present some recent paradigms and trends in power-efficient QoE multimedia data fusion and clustering, and collaborative context-aware realtime in-network processing that may serve as guidelines for future green media applications.
Green Multimedia Wireless Sensor Networks: Distributed Intelligent Data Fusion, In-network Processing and Optimized Resource Management / Baccarelli E.; Chiti F.; Cordeschi N. ; Fantacci R.; Marabissi D.; Parisi R.; Uncini A.. - In: IEEE WIRELESS COMMUNICATIONS. - ISSN 1536-1284. - STAMPA. - 21:(2014), pp. 20-26. [10.1109/MWC.2014.6882292]
Green Multimedia Wireless Sensor Networks: Distributed Intelligent Data Fusion, In-network Processing and Optimized Resource Management
CHITI, FRANCESCO;FANTACCI, ROMANO;MARABISSI, DANIA;
2014
Abstract
In developing new applications for green wireless media, power-efficient paradigms and distributed platforms for pervasive sensing, efficient fusion, QoE dissemination, and real-time recovery of multimedia data are of paramount importance. In particular, these topics are challenging in MWSN applications to be compliant with the green wireless media paradigm. In this article, we review the current state of the art in green QoE MWSNs, with reference to mobile users and remote applications. At first, the most relevant aspects regarding the fusion, storage, transmission, and retrieval of multimedia data are reviewed and critically discussed. Afterward, we present some recent paradigms and trends in power-efficient QoE multimedia data fusion and clustering, and collaborative context-aware realtime in-network processing that may serve as guidelines for future green media applications.File | Dimensione | Formato | |
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