Wide Area IoT Network Utilizing Cloud Computing
"Internet of Things (IoT) system enabling Alexa to control a DJI Tello drone through Amazon AWS services. Project focuses on LoRaWAN infrastructure to assess security in IoT systems and enhance security measures. Challenges include learning curve, AWS, coding languages, and time management. Explore Tello Drone capabilities, Amazon EC2, Amazon Skills Console, JSON Editor, and future work on electronic device vulnerabilities and security measures."
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Presentation Transcript
Wide Area IoT Network Utilizing Cloud Computing Keenan Leatham Advisor: Dr. Esther Ososanya
Purpose Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to- computer interaction. Thorough Amazon AWS services we are trying to enable Alexa to send commands from the user to the DJI Tello drone. For example, If I say drone fly up, down, left, right, etc.; the drone will fly in that direction. This is very intriguing because we are exploring the future of controlling many electronic devices utilizing devices such as the Amazon Alexa Dot. The goal of this project is developing a LoRaWAN infrastructure to study the security of communications based on Low Power Wide and Local Area Networks. We will fabricate different IoT systems evaluating security vulnerabilities and countermeasures to improve existing IoT systems.
Challenges Steep Learning Curve Learning AWS Switching Coding languages in my head simultaneously. Time
Block Diagram
Tello Drone Can Fly in Circles,360, and Up & Away. Electronic Image Stabilization Capture consistently clear images. Contains Intel Processor. Compatible with Multiple Programming languages.
Amazon Elastic Compute Cloud (EC2) is a central part of Amazon s cloud-computing platform, Amazon Web Services (AWS), allowing users to rent virtual computers on which to run their own computer applications. Amazon EC2
JSON Editor
Drone Security Packages
Future Work We are creating multiple jammers to block different signals. Studying the vulnerabilities of Modern Electronic Devices. Creating possible security measures.
[1] M. L. Jovanovi, M. Koprivica and N. Nekovi, "Implementation of IoT System for Securing Telecommunications Infrastructure Based on LoRaWAN Operator s Network," IEEE EUROCON 2019 -18th International Conference on Smart Technologies, Novi Sad, Serbia, 2019, pp. 1-6. [2] A. Witayarat, A. Jansang and A. Phonphoem, "The Effects of Duty Cycle Limit to Small Single Gateway LoRaWAN Protocol Network," 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Pattaya, Chonburi, Thailand, 2019, pp. 701-704. [3] Gianni Pasolini, Alessandro Bazzi, and Flavio Zabini, A Raspberry Pi-Based Platform for Signal Processing Education in IEEE Signal Processing Magazine, July. 2017 References [4] Signal Processing 101. IEEE Signal Processing Society, 19 Apr. 2018, signalprocessingsociety.org/our-story/signal-processing-101. [5] M. Pasetti, S. Rinaldi, E. Sisinni, P. Ferrari and A. Flammini, "On the Use of Class B LoRaWAN for the Coordination of Smart Interface Protection Systems," 2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Germany, 2019, pp. 1-6.
Acknowledgment University of the District of Columbia SEAS SEAS System Administrators University of the District of Columbia STEM Center Dr. Freddie Dixon NSF/HBCU-UP grant 1622811 UDC STEM Center Department of Computer and Electrical Engineering Advisor: Esther Ososanya All EE Faculty Lockheed Martin Fellowship
