کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10148899 1646703 2019 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A prediction-based approach for features aggregation in Visual Sensor Networks
ترجمه فارسی عنوان
یک رویکرد مبتنی بر پیش بینی برای تجمع ویژگی ها در شبکه های سنسور ویژوال
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Visual Sensor Networks (VSNs) constitute a key technology for the implementation of several visual analysis tasks. Recent studies have demonstrated that such tasks can be efficiently performed following an operative paradigm where cameras transmit to a central controller local image features, rather than pixel-domain images. Furthermore, features from multiple camera views may be efficiently aggregated exploiting the spatial redundancy between overlapping views. In this paper we propose a routing protocol designed for supporting aggregation of image features in a VSN. First, we identify a predictor able to estimate the efficiency of local features aggregation between different cameras in a VSN. The proposed predictor is chosen so as to minimize the prediction error while keeping the network overhead cost low. Then, we harmonically integrate the proposed predictor in the Routing Protocol for Low-Power and Lossy Networks (RPL) in order to support the task of in-network feature aggregation. We propose a RPL objective function that takes into account the predicted aggregation efficiency and build the routes from the camera nodes to a central controller so that either energy consumption or used network bandwidth is minimized. Extensive experimental results confirm that the proposed approach can be used to increase the efficiency of VSNs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ad Hoc Networks - Volume 83, February 2019, Pages 55-67
نویسندگان
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