Department of Computer Science

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Presentation transcript:

Department of Computer Science The Internet of Things Shahriar Nirjon, Ph.D. Assistant Professor Department of Computer Science nirjon@cs.unc.edu

My Research Mobile and Networked Embedded Systems; IoT Embedded Sensor System Communication Sensor Data Processing System

My Research Mobile and Networked Embedded Systems; IoT Embedded Sensor System Communication Sensor Data Processing System

The Internet of Things A fabric that (is going to) connects every object in the world

Two Views or Ends We need research on both of these (and jointly) IoT Devices & Networks IoT Data Analytics

IoT Devices An electronic device that augments lifeless objects with the capability of sensing, intelligence, and communication. IoT devices are often called “smart” devices, but we should not

Smart* - the most misused term “Smart” devices should contain an OS that runs Apps. smart IoT

Why IoT is happening now? Advancements in: (1) sensor technology, (2) miniature computers, (3) low-power wireless communication, (4) mobile devices, and (5) cloud. Accelerometer Pulse Sensor Intel Joule 570X (1.7 GHz, Quad-Core, 4 GB RAM, 16 GB storage) Bluetooth LE (up to 2 years lifetime on a single coin-cell battery) (2) (3) Force Sensor VGA Camera (1)

Devices Device Processor Mem Storage Connectivity Laptop (Macbook Pro) 2.80 GHz 16 GB 512 GB WiFi Smartphone (Nexus 6P) 1.55 GHz 3 GB 128 GB WiFi, Cellular, BLE, NFC Wearables (Gear S) 1 GHz 512 MB 4 GB WiFi, BLE, NFC Raspberry Pi 3 1.2 GHz 1 GB microSD Ethernet, WLAN, BLE Arduino UNO (ATmega328P) 16 MHz 2 KB 32 KB Various shields Intel Joule 1.7 GHz WiFi, BLE http://www.gsmarena.com/ https://www.raspberrypi.org/magpi/raspberry-pi-3-specs-benchmarks/

Wireless Networks Network Type Speed Range Power Common Use WLAN 600 Mbps 45 m – 90 m 100 mW Internet. LTE 5-12 Mbps 35km 120 – 300 mW Mobile Internet 3G 2 Mbps 3 mW Bluetooth 1 – 3 Mbps 100 m 1 W Headsets, audio streaming. Bluetooth LE 300 Kbps 100+ m .01–.5 W Wearables, fitness. Zigbee 100 Kbps 0.45 mW WSN (The numbers are not that simple to estimate exactly, but should give you an idea) http://dl.acm.org/citation.cfm?id=1644927 http://dl.acm.org/citation.cfm?id=2307658 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6616827&tag=1

IoT Analytics (Examples) Categories of applications include: (1) push notifications, (2) predictive maintenance, and (2) real-time stream analysis. beacons ‘nearables’ https://www.rtinsights.com/iot-analytics-use-cases-tdwi/

IoT Analytics (Examples) Categories of applications include: (1) push notifications, (2) predictive maintenance, and (2) real-time stream analysis. US Air Force saved $1.5M through real-time vehicle tracking. ThyssenKrupp predicts when to repair elevators https://www.rtinsights.com/u-s-air-force-sees-benefits-from-condition-based-maintenance/ https://www.thyssenkrupp-elevator.com/en/

IoT Analytics (Examples) Categories of applications include: (1) push notifications, (2) predictive maintenance, and (2) real-time stream analysis. http://www.fool.com/investing/general/2016/04/29/what-the-internet-of-things-means-for-car-companie.aspx

Putting them together An IoT system – consisting of {sensors, mobile devices, computers, and the cloud} who will talk to each other over {BLE and WiFi} as appropriate.