کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4956081 1444384 2016 34 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On analyzing user location discovery methods in smart homes: A taxonomy and survey
ترجمه فارسی عنوان
در تجزیه و تحلیل روش کشف مکان کاربر در خانه های هوشمند: طبقه بندی و نظرسنجی
کلمات کلیدی
کشف مکان کاربر خانه هوشمند، بومی سازی، نظر سنجی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
User Location Discovery (ULD) is a key issue in smart home ecosystems, as it plays a critical role in many applications. If a smart home management system cannot detect the actual location of the users, the desired applications may not be able to work successfully. This article proposes a new taxonomy with a broad coverage of ULD methods in terms of user satisfaction and technical features. In addition, we provide a state-of-the-art survey of ULD methods and apply our taxonomy to map these methods. Mapping contributes to gap analysis for existing ULDs and also validates the applicability and accuracy of the taxonomy. Using this systematic approach, the features and characteristics of the current ULD methods are identified (i.e., equipment and algorithms). Next, the weaknesses and advantages of these methods are analyzed utilizing ten important evaluation metrics. Although we mainly focus on smart homes, the results of this article can be generalized to other spaces such as smart offices and eHealth environments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Network and Computer Applications - Volume 76, December 2016, Pages 75-86
نویسندگان
, , , , ,