0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Empirical Performance Analysis and Channel Modeling of UAV-Assisted LoRa Networks
نویسندگان :
Hossein Aghajari
1
Sajad Ahmadinabi
2
Hamed Bakhtiari babadegani
3
Mehdi Naderi soorki
4
1- دانشگاه شهید چمران اهواز
2- دانشگاه شهید چمران اهواز
3- دانشگاه شهید چمران اهواز
4- دانشگاه شهید چمران اهواز
کلمات کلیدی :
LoRa technology, Unmanned aerial vehicle (UAV), Linear fitting, Wireless Channel Modeling
چکیده :
Long range (LoRa) technology has been widely proposed to empower cost-efficient and scalable communication backbone for the battery-constrained internet of thing (IoT) device. However, the LoRa-based IoT network suffers from a limitation in coverage caused by high signal attenuation due to the terrestrial blockages especially in the urban and suburban environments. To overcome this issue, the use of unmanned aerial vehicles (UAVs) as a flying LoRa gateway to transfer messages from ground LoRa nodes to the cellular base station is proposed. Thus, it is of great interest to accurately model the propagation channel and performance analysis of UAV-Assisted LoRa network based on real measurements. In this paper, a UAV-Assisted LoRa Network is empirically implemented and analyzed. First, LoRa node and gateway are designed and practically implemented using LoRa Ra-02 module, Arduino Uno board, and SIM800l GSM module. Then, the LoRa gateway is mounted over DJI Phantom 4 Pro drone to have a flying LoRa gateway. In this UAVassisted LoRa Network, the LoRa node sends data to the LoRa gateway over LoRa links, and then LoRa gateway sends data over cellular link to the server. The UAV-Assisted LoRa Network is set up over the campus of Shahid Chamran University of Ahvaz. For this network, different experiment scenarios including line-ofsight (LoS) or none-LoS (NLoS) links and ground or flying LoRa gateway are considered. Following the real-world measurement in these scenarios, the channel model parameters of LoRa links between flying or ground gateway and node are empirically estimated. Our results show that the path loss exponent of LoS LoRa link is 2.57 for ground LoRa gateway, while the LoS path loss exponent of LoRa link decreases to 1.65 for 80m-height flying LoRa gateway. Moreover, our practical analysis shows that the useful coverage area of network rapidly increases when the flying LoRa gateway is used instead of ground LoRa one.
لیست مقالات
لیست مقالات بایگانی شده
Noniterative Solution of Inverse Scattering Problems Using A Priori Information
Leila Ahmadi - Amir Ahmad Shishegar
An Iterative Approach to Enhance the Accuracy of TDOA-Based Localization by Averaging and Reducing Noise
Reza Bahrampour - Mohammad Hossein Madani - Hossein Bahramgiri
Φ-OTDR Event Classification Using Machine Learning and Optical Signal Processing
Amir Babaoughli - Tohid Alizadeh - Seyed Sadra Kashef
Ambient Temperature Effect On SF6 Circuit Breakers Coil Current
Masoume Maghfourian - Ali Asghar Razi-Kazemi
جایابی بهینه نیروگاه های مقیاس کوچک و منابع تولید توان راکتیو بمنظور افزایش پایداری ولتاژ شبکه انتقال و فوق توزیع خوزستان
مسعود بشیرپور - کیومرث زمانی - محدثه مولایی - امید سروری
طراحی بهینه پارکینگ خودروهای برقی با در نظر گرفتن عدم قطعیت منابع انرژی تجدیدپذیر
سید محمد هاشمی مصیر - میثم جعفری نوکندی - محمد بزرگپور رودباری
Development of Iterative Learning Control Method Based on Markov Parameters for High-Order Discrete-Time Singular Systems
Meysam Azhdari - Tahereh Binazadeh - Ali Gholami
تشخیص و مقیاس بندی شدت افسردگی براساس روشهای یادگیری ماشین و با استفاده از معیارهای خطی، غیرخطی و آماری محاسبه شده در سیگنالهای الکتروانسفالگرام
پریسا رئوف امامزاده هاشمی - وحید شالچیان - رضا رستمی
Goodbye Bitcoin: A general framework for migrating to quantum-secure cryptocurrencies
Saeed Banaeian Far - Azadeh Imani Rad - Maryam Rajabzadeh Asaar
حسگر غیرتهاجمی تشخیص قندخون با استفاده از تکنیک مایکروویو بر مبنای تشدید فرکانسی
نازنین افشاری - سید محمد هاشمی - فاطمه گران قراخیلی
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.8.0