Internet of Things: Challenges and Issues



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Internet of Things: Challenges and Issues Washington University in Saint Louis Saint Louis, MO 63130, Jain@cse.wustl.edu IEEE CS Keynote at ADCOM 2014, Bangaluru, India, September 19, 2014 These slides and video recording of this presentation are at: 1

Overview 1. What are Things? 2. What s Smart? 3. Why IoT Now? 4. Business/Research Opportunities in IoT 5. Recent Protocols for IoT 2

Thing = Not a computer What are Things? Phone, watches, thermostats, cars, Electric Meters, sensors, clothing, band-aids, TV, Anything, Anywhere, Anytime, Anyway, Anyhow (5 A s) Ref: http://blog.smartthings.com/iot101/iot-adding-value-to-peoples-lives/ 3

Internet of Things Less than 1% of things around us is connected. Refrigerator, car, washing machine, heater, a/c, garage door, should all be connected but are not. From 10 Billion today to 50 Billion in 2020 Should include processes, data, things, and people. $14 Trillion over 10 years Third in the list of top 10 strategic technologies by Gartner (After Mobile devices, Mobile Apps, but before Clouds, ) a.k.a. Internet of Everything by Cisco Smarter Planet by IBM Ref: Gartner Identifies Top 10 Strategic Technologies, http://www.cioinsight.com/it-news-trends/gartner-identifies-top-10-strategic-technologies.html Ref: J. Bradley, The Internet of Everything: Creating Better Experiences in Unimaginable Ways, Nov 21, 2013, http://blogs.cisco.com/ioe/the-internet-of-everything-creating-better-experiences-in-unimaginable-ways/#more-131793 4

Sample IoT Applications Smart Grid Smart Health Smart Home Smart Cities Smart Industries Smart TV Smart Watch Smart Car Smart Kegs 5

What s s Smart? IoT = Instrument, Interconnect, Intelligently process (3 I s) Old: Smart = Can think Can compute Now: Smart = Can find quickly, Can Delegate Communicate = Networking Smart Grid, Smart Meters, Smart Cars, Smart homes, Smart Cities, Smart Factories, Smart Smoke Detectors, Think Communicate 6

4 Levels of Smartness 1. Passive: Communicate only when queried. Passive RFID, QR codes (Nirjeeva) Bangalore 1km 2. Active: Communicate when needed. Sensors. Home automation (1-4 sense) 3. Aware: Action based on simple computation. E.g., tele-health (5-sense) 4. Autonomous: Can make decisions based on rules. E.g., autonomous cars, smart grid (Human) Ref: http://go.gigaom.com/rs/gigaom/images/gigaomresearch_the_internet_of_things_report.pdf 7

Internet of Brains Brain-to-Brain Interface A person s brain can send signals to other person s brain Useful for handicap people to communicate with others Ref: http://homes.cs.washington.edu/~rao/brain2brain/experiment.html 8

Why IoT Now? IoT = Sensing + Communication + Computation 1. Micro-Sensors: Temperature, Moisture, Pressure, air quality, 2. Tags: Radio Frequency Id (RFID), Quick Response (QR) Codes, 3. Energy Efficient Communication: Small or no batteries, Personal area communication (PAN), Bluetooth, ZigBee, 4. Micro-Computing: Micro multi-core chips, Raspberry Pi, Intel Galileo, Arduino, 5. Cloud Computing: Little or no local computing 6. Open/Small operating systems: Linux Ref: CTIA, Mobile Cyber security and the Internet of Things, http://www.ctia.org/docs/default-source/default-document-library/ctia-iot-white-paper.pdf 9

Funding 10

Google Trends EU invests in IoT US invests in Smart grid Google buys Nest IoT Internet of Things Around for 10 years IERC-European Research Cluster on the Internet of Things funded under 7 th Framework in 2009 Internet of European Things US interest started in 2009 w $4B funding for smart grid in American Recovery and Reinvestment Act of 2009 11

Research Funding for IoT 70 M in European Research program FP7 Internet of European Things Networking and Information Technology Research and Development (NITRD) Group of 15 Federal agencies: NSF, NIH, NASA, DOE, DARPA, ONR, Recommends supplement to the president s annual budget CPS is one of the areas recommended by NITRD starting 2012 Smart infrastructure Smart Grid, Smart Bridges, Smart Cars, tele-operational surgical robots, Smart Buildings March 2014: 45M for IoT research in UK by David Cameron Ref: NITRD, http://www.nitrd.gov/ 12

Business Opportunities Components: Sensors, wireless radios, protocols, Smart Objects: Smart TV, Camera, Watch, Systems: Buildings, Cars, Health, Network service providers: ISP Application Service Providers: Monitoring, Analytics, Apps, Sensors Actuators μp Datalinks Systems Data Analytics Applications 13

Venture Activities in IoT $1.1B invested in IoT startups by VCs in 153 deals in 2013 Quantified Self: Know your body and mind Healthcare sensors: Wearable clock, sleep monitors Energy management Home Automation: Kitchenware, locks, Environmental monitoring: Air Quality sensors, personal weather stations January 2014: Google buys NEST for 3.3B May 2014: $150M in VC investments in IoT by Cisco Ref: http://www.cbinsights.com/blog/internet-of-things-investing-snapshot/ http://www.zdnet.com/cisco-invests-150m-in-internet-of-things-startups-7000028964/ 14

Recent IoT Products NEST Thermostat Corventis: Wireless Cardiac Monitor WEMO Remote Tractive Pet Tracker Ninja Blocks Revolve Home Automation ThingWorx Application Platform Lings Cloud Platform Mbed Development Platform Xively Remote Access API Intel Quark Processor AllJoyn S/W Framework 15

IoT Research Challenges 1. Naming and Addressing: Advertising, Searching and Discovery 2. Service Orchestration 3. Power/Energy/Efficient resource management. Energy harvesting 4. Things to Cloud: Computation and Communication Gateways 5. Miniaturization: Sensors, CPU, network 6. Big Data Analytics: 35 ZB of data $2B in value by 2020 7. Semantic technologies: Information and data models for interoperability 8. Virtualization: Multiple sensors aggregated, or a sensor shared by multiple users 9. Privacy/Security/Trust/Identity/Anonymity Target Pregnancy Prediction 10. Heterogeneity/Dynamics/Scale 16

Internet of Harmful Things Imagine, as researchers did recently at Black Hat, someone hacking your connected toilet, making it flush incessantly and closing the lid repeatedly and unexpectedly. 17

Beacons Advertizing based on proximity Peripherals (your phone) broadcasts its presence if Bluetooth is turned on Primary aim of these broadcasts is to allow device discovery Advertising packets consist of a header and max 27B of payload with multiple TLV-encoded data items May include signal strength Distance ios7 iphones can send/received ibeacons Can be used for customized advertising, indoor location, geofencing PayPal uses this to identify you. You can pay using a PIN and your phone. 18

Power per MB Type Bit rate TX Power mjoules/mb 802.11b 11Mb 50mW 36.4 802.11g 54Mb 50mW 7.4 802.11a 54Mb 200mW 29.6 802.15.1 Bluetooth 1Mb 1mW 8.0 802.15.3 55Mb 200uW 0.03 Once connected, Bluetooth classic maintains connections even when there is no data. Low power but not low enough. 19

Energy efficiency Datalink Issues Need to decrease energy/bit by a factor of 1000 Energy/bit has gone down by a factor of 2 per year Either wait ten years or design better protocols Small messages Need low overhead Limited computing Light weight protocols lightweight Encryption, authentication, security Quality of Information (QoI) 20

Ant-Sized IoT Passive Radios Computer + Sensor + Radio in 3.7x1.2 mm from Stanford Can be added to dollar bills, band-aids, tools, Monitor temperature, location 3 m range Extremely low power No battery required (Similar to passive RFID Continuously monitor every part of the body of every patient Ref: http://www.computerworld.com/article/2682854/stanfords-ant-sized-radios-could-connect-the-world.html? source=ctwnle_nlt_pm_2014-09-12#tk.rss_all http://web.stanford.edu/~arbabian/home/welcome.html 21

Networking Issues Large number 32-bit or 48-bit addressing not sufficient 32-bit IPv4 addresses too small 48-bit IEEE 802 too small 128-bit IPv6 addresses too large. Tiny things do not have energy to transmit such large addresses. 16-bit local addresses and 64-bit global addresses 6LowPAN, 6-to-NonIP 22

Last 100m Protocols The Last Mile: Mobile and Broadband Access revolution Smart Grid, Smart Cities, Smart Industries The last 100m: Smart home The last meter: Smart Healthcare, Smart Wearable's Last 100 m Gateway Last Mile 23

Recent Protocols for IoT Mgmt IEEE 1905, 1451 Applications Smart Health Smart Grid Smart Transport Session MQTT CoAP AMQP Routing 6LowPAN RPL 6-to-Non-IP Datalink ZigBee Smart HomePlug GP Weightless WiFi Bluetooth Smart NFC DASH7 ANT+ Sensor Multicast Security Oath 2.0 Open Authentication Ref: http://tools.ietf.org/html/draft-rizzo-6lo-6legacy-00, http://en.wikipedia.org/wiki/oauth, http://en.wikipedia.org/wiki/ant%2b http://en.wikipedia.org/wiki/near_field_communication, http://en.wikipedia.org/wiki/weightless_%28wireless_communications%29 24

Legacy IoT Protocols BACnet: Building Automation and Control Network LonWorks: Local Operating Network (like BACnet) ModBus: Modicon (Schneider Electric) s Serial Bus KNX: Home and Building Automation Standard Z-Wave: Wireless Communication for Home Automation M-Bus: Bus for remote reading of gas and electric meters ANSI CI12.20: Electric Meter Accuracy and Performance DLMS: Device Language Message Specification COSEM: Company Specification for Energy Metering 25

Standardization Almost every standards body is working on IoT: IEEE, IETF, ITU, ETSI, IPSO, Seven organizations joined together to avoid duplication: ARIB, ATIS, CCSA, ETSI, TIA, TTA, TTC onem2m Ref: http://www.onem2m.org 26

Fog Computing Ref: http://community.spiceworks.com/topic/254392-fog-computing-replaces-cloud-as-new-tech-buzzword 27

Fog Computing (Cont) Location Aware and Location Sensitive Low latency Computing in micro clouds Computing in the edge Computing everywhere Fog Geographically distributed => Everywhere/Anywhere Large Scale Mobility Real-Time Ref: F. Bonomi, et al., Fog Computing and Its Role in the Internet of Things, ACM MCC 12, August 17, 2012, Helsinki, Finland 28

Micro-Clouds on Cell-Towers Users Distributed Micro-Datacenters Operated by ISPs Cloud/Enterprise Datacenters Network New Business Opportunities: Domain 2.0, Datacenters on Towers, IoT, NFV, FV, Elastic Networks 29 29

The Problem Statement Massively Distributed Application Use Cases Automatic Application Deployment and Delivery Platform Application Service Providers (ASPs) AppFabric Distributed Virtual Infrastructure Virtual Hosts Enterprise Datacenter Virtual Storage OpenStack Virtual Network Virtual WAN Services OpenDayLight Virtual Hosts Virtual Storage EC2 Virtual Network Cloud Datacenter Resource Providers (ISPs, CSPs) ISP Network Network POP Micro- Datacenters 30

Services in a Cloud of Clouds Application Service Developers Application Architects Application Deployment Administrators Application Service Providers AppFabric Application Service (AAS) abstraction AppFabric Application Workflow (AAW) abstraction AppFabric Application Cloud (AAC) abstraction Northbound Interface AppFabric Platform AppFabric Resource Driver (OpenStack) AppFabric Resource Driver (OpenDayLight) AppFabric Resource Driver (EC2) Southbound Interface Virtual Hosts Virtual Storage OpenStack Virtual Network Virtual WAN Services OpenDayLight Virtual Hosts Virtual Storage EC2 Virtual Network Resource Providers Enterprise Datacenter Cloud Datacenter ISP Network Network POP Micro- Datacenters 31

Summary 1. Less than 1% of things are connected IoT is a big opportunity for academics and industry 2. Smart Grid and Energy management is leading the change. 3. Smartness comes from communication capability since the computation can be delegated 4. Right at the knee: Academic and Startup Research opportunities in almost subfields of computing including hardware development, data analytics, security, and networking. 5. Cloud computing everywhere leads to fog computing and multi-cloud computing AppFabric 32

Acronyms 6LowPAN IPv6 over Low Powered Personal Area Network AMQP Advanced Message Queueing Protocol ANSI American National Standards Institute ANT A proprietary open access multicast wireless sensor network ANT+ Interoperability function added to ANT API Application Programming Interface ARIB Association of Radio Industries and Businesses (Japan) BACnet Building Automation and Control Network CI12.20 ANSI Standard for Electric Meter Accuracy and Performance CoAP Constrained Application Protocol COSEM Company Specification for Energy Metering CPS Cyber Physical Systems CPU Central Processing Unit CTIA Cellular Telecommunication Industries Association DARPA Defense Advance Research Project Agency DASH7 ISO 18000-7 RFID standard for sensor networks 33

Acronyms (Cont) DLMS Device Language Message Specification DoE Department of Energy ETSI European Telecommunications Standards Institute GreenPHY Green Physical Layer HomePlug-GP HomePlug Green PHY IEEE Institute for Electrical and Electronic Engineers IERC IoT-European Research Cluster IETF Internet Engineering Task Force IoT Internet of Things IP Internet Protocol IPSO IP for Smart Objects IPv4 Internet Protocol version 4 IPv6 Internet Protocol version 6 ISP Internet Service Provider ITU International Telecommunications Union 34

Acronyms (Cont) KNX Building automation protocol MQTT Message Queue Telemetry Transport NASA National Aeronautical and Space Administration NEST Name of a product NFC Near field communication NIH National Institute of Health NITRD Networking and Info Tech Research and Development NonIP Non-Internet Protocol NSF National Science Foundation OAuth Open Authorization protocol from IETF onem2m One Machine to Machine ONR Office of Naval Research PAN Personal area network QoI Quality of information 35

Acronyms (Cont) QR Quick Response RFID Radio Frequency Identifier RPL Routing Protocol for Low Power and Lossy Networks TV Television UK United Kingdom US United States VC Venture Capital WiFi Wireless Fidelity ZB Ziga-Byte 36