کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6883539 | 1444175 | 2018 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Delay-aware heterogeneous cluster-based data acquisition in Internet of Things
ترجمه فارسی عنوان
داده های مبتنی بر خوشه ناهمگن مبتنی بر دلایل در اینترنت چیزها
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
The environmental conditions of a wildlife habitat are monitored using many heterogeneous sensors, including temperature, humidity, pressure, and water-level sensors. Sensor data are collected from various regions for knowledge retrieval about the various parameters to analyse the wildlife habitat and take necessary actions. The Delay-Aware Heterogeneous Cluster-based Data Acquisition (DA-HCDA) technique is proposed, which ensures maximum coverage. A multifarious Sensor-based Cluster Formation Algorithm (MSCFA) is used to from the cluster and elect the controllers to handle the different types of sensors. A multi-tier aggregation function called Quartile Aggregation is proposed, which eliminates the redundancy of aggregated data at the controller. Thus, the proposed DA-HCDA and Quartile Aggregation mechanism improve the network lifetime and end-to-end delay across the wildlife habitat reserve.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 65, January 2018, Pages 44-58
Journal: Computers & Electrical Engineering - Volume 65, January 2018, Pages 44-58
نویسندگان
Nandhakumar Ramachandran, Varalakshmi Perumal,