دانلود مقاله ISI انگلیسی شماره 67480
ترجمه فارسی عنوان مقاله

مدیریت خودمختار سلسله مراتب منطقه بازگشتی برای شبکه های حسگر بی سیم در مقیاس بزرگ با استفاده از والدین متعدد

عنوان انگلیسی
Autonomous management of a recursive area hierarchy for large scale wireless sensor networks using multiple parents
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
67480 2016 22 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Ad Hoc Networks, Volume 39, 15 March 2016, Pages 1–22

ترجمه کلمات کلیدی
شبکه های حسگر بی سیم؛ سلسله مراتب منطقه بازگشتی؛ تشخیص ناهنجاری؛ سازمان مستقل؛ شبکه های در مقیاس بزرگ - سلسله مراتب خوشه
کلمات کلیدی انگلیسی
Wireless sensor networks; Recursive area hierarchies; Anomaly detection; Autonomous organization; Large scale networks; Clustering hierarchy
پیش نمایش مقاله
پیش نمایش مقاله  مدیریت خودمختار سلسله مراتب منطقه بازگشتی برای شبکه های حسگر بی سیم در مقیاس بزرگ با استفاده از والدین متعدد

چکیده انگلیسی

Large scale, duty-cycled, wireless sensor networks provide support for applications ranging from anomaly detection to vehicle tracking. In order meet the requirements of these applications an autonomous configuration and maintenance method that is efficient and effective is required. When selecting a management solution it is important to consider both the direct and indirect costs associated with the different solution. For example, the overhead associated with communication synchronization and scheduling is an example of an indirect cost that can significantly impact the network lifetime. Further, an effective solution needs to recognize that in-network data aggregation and analysis presents significant benefits and should configure the network with a structure that benefits application layer functions. NOA, the proposed network management protocol, utilizes a multi-parent hierarchical logical structure. The multi-parent structure provides application layer functions with significant inherent benefits such as, but not limited to: elimination of the single-parent network divisions, data resolution guarantees when comparisons are performed at data aggregation points, and redundancies for communication as well as in-network data aggregation, analysis and storage.