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IoT connectivity and solutions Slide 1 IoT connectivity and solutions Slide 2 IoT connectivity and solutions Slide 3 IoT connectivity and solutions Slide 4 IoT connectivity and solutions Slide 5 IoT connectivity and solutions Slide 6 IoT connectivity and solutions Slide 7 IoT connectivity and solutions Slide 8 IoT connectivity and solutions Slide 9 IoT connectivity and solutions Slide 10 IoT connectivity and solutions Slide 11 IoT connectivity and solutions Slide 12 IoT connectivity and solutions Slide 13 IoT connectivity and solutions Slide 14 IoT connectivity and solutions Slide 15 IoT connectivity and solutions Slide 16 IoT connectivity and solutions Slide 17 IoT connectivity and solutions Slide 18 IoT connectivity and solutions Slide 19 IoT connectivity and solutions Slide 20 IoT connectivity and solutions Slide 21 IoT connectivity and solutions Slide 22 IoT connectivity and solutions Slide 23 IoT connectivity and solutions Slide 24 IoT connectivity and solutions Slide 25 IoT connectivity and solutions Slide 26 IoT connectivity and solutions Slide 27 IoT connectivity and solutions Slide 28 IoT connectivity and solutions Slide 29 IoT connectivity and solutions Slide 30
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Slides used in the tal on PhD School by University of Parma in Lerici.
http://phdschool.tlc.unipr.it/iot/2014/index.php/welcome/home.html

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IoT connectivity and solutions

  1. 1. 1 IoT Connectivity and solutions Dr Màrius Montón marius@worldsensing.com
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  7. 7. 7 Spider
  8. 8. What is IoT ? “The data are no longer in the computers. We have come to see that the computers are in the data" Trillions: Thriving In The Emerging Information Ecology
  9. 9. Things ● Addressable ● Connected to the Internet ● Sensor / Actuator → Event driven ● Intelligent (smart) ● Localizable (GNSS)
  10. 10. Forecast CISCO: “Internet of Things Forecasts Vary by an Order of Magnitude” online available at http://ipcarrier.blogspot.co.uk/2013/10/internet-of-things-forecasts-vary-by.html, October 2013
  11. 11. Forecast CISCO: “Internet of Things Forecasts Vary by an Order of Magnitude” online available at http://ipcarrier.blogspot.co.uk/2013/10/internet-of-things-forecasts-vary-by.html, October 2013
  12. 12. Why connected? Cloud Big Data Open data Knowledge Information Data Generate wisdom Value WISDOM What to do? What's hapenning? What's the meaning?
  13. 13. Verticals / Markets Buildings Smart Cities Automotive Consumer Health Automation Retail Construction Agriculture Energy Management
  14. 14. Verticals / Markets Buildings Smart Cities Automotive Consumer Health Automation Retail Construction Agriculture Energy Management Internet of Things
  15. 15. M2M Technologies - Wired ● SCADA ● HART ● Modbus ● IEC 62056-21 ● HTTP/TCP ● ... STANDARDS
  16. 16. M2M Technologies - Wireless ● Cellular (GSM, LTE) ● LPWA (SigFox, Weightless, LoRa, OnRamp) ● ANT ● DASH7 ● 802.11 (p, ah, ...) ● 802.15.4(e) – ZigBee - Wireless HART ● 802.15.1 – BT (Smart) ● ...
  17. 17. M2M Technologies - Overview WWiiFFii 880022..1111 LLPP WWiiFFii CCeelllluullaarr UUMMTTSS,, HHDDPPAA LLTTEE,, LLTTEE--AA WWiiFFii 880022..1111 LLPP WWiiFFii SShhoorrtt RRaannggee ZZiiggBBeeee 880022..1155..44 BBlluueeTTooootthh 880022..1155..11 LLPPWWAA SSiiggffooxx,, LLooRRaa,, WWeeiigghhttlleessss,, OOnnRRaammpp Mbps kbps bps 10 m 100 m 1 km 10 km
  18. 18. M2M Technologies - Overview Mbps kbps bps BBTT ZZwwaavveeZZiiggBBeeee AANNTT HHDDPPAA UUMMTTSS EEDDGGEE DDAASSHH77 WWiiFFiiaa WW-- HHAARRTT WWiiFFiiaacc LLTTEE WWiiFFiiaahh WWiiFFiipp WWeeiigghhttlleessss LLooRRaa SSiiggFFooxx OOnnRRaammpp 10 m 100 m 1 km 10 km
  19. 19. M2M Technologies - Overview Mbps kbps bps BBTT ZZwwaavveeZZiiggBBeeee AANNTT HHDDPPAA UUMMTTSS EEDDGGEE DDAASSHH77 WWiiFFiiaa WW-- HHAARRTT WWiiFFiiaacc LLTTEE WWiiFFiiaahh WWiiFFiipp WWeeiigghhttlleessss LLooRRaa SSiiggFFooxx OOnnRRaammpp 10 m 100 m 1 km 10 km
  20. 20. Low Power is the key ● New restrictions – Memory – CPU process – % duty cycling ● Every single bit is valuable © from “Balancing power consumption in IoT devices by using variable packet size ” by M. Domingo-Prieto et al. (2014)
  21. 21. What technology to use? © IEEE, from “Feasibility of Wi-Fi Enabled Sensors for Internet of Things,” by Serbulent Tozlu (2011)
  22. 22. Interoperability ● Cellular (GSM, LTE) ● LPWA (SigFox, Weightless, LoRa, OnRamp) ● ANT ● DASHa7 ● 802.11 (p, ah, ...) ● 802.15.4(e) – ZigBee - Wireless HART ● 802.15.1 – BT (Smart) ● ...
  23. 23. Interoperability ● Cellular (GSM, LTE) ● LPWA (SigFox, Weightless, LoRa, OnRamp) ● ANT ● DASHa7 ● 802.11 (p, ah, ...) ● 802.15.4(e) – ZigBee - Wireless HART ● 802.15.1 – BT (Smart) ● ... INTEROPERABILITY!!!
  24. 24. GW 1 GW 2 GW 3 1 1 1 2 2 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 Cloud 1 Cloud 2 Cloud 3
  25. 25. 1 1 1 2 App 1 App 2 App 3 2 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 Cloud 1 Cloud 2 Cloud 3
  26. 26. 1 1 1 2 App 1 App 2 App 3 2 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 Cloud 1 Cloud 2 Cloud 3 Virtualization QoS SLA Shared RAT
  27. 27. IoT Alliances ● AllJoin (https://allseenalliance.org/) – Free & Open source code – Common API over various transport layers
  28. 28. IoT Alliances ● Open Interconnect (http://openinterconnect.org) – Still close & unclear – Working on interoperability
  29. 29. Conclusions ● Vertical Technology convergence → Single solution (standard) for vertical market (maybe?) ● Basestation / concentrators → Utilities – Network Operators: Vodafone, Orange, etc. – Service Operators: Sigfox, Avertis, etc. – New challenges on Basestation / GW Side ● Virtualization of apps ● Shared Radio Interfaces ● QoS ● SLA
  30. 30. That's all Màrius Montón Innovation Manager, Worldsensing marius@worldsensing.com @mariusmonton
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Slides used in the tal on PhD School by University of Parma in Lerici. http://phdschool.tlc.unipr.it/iot/2014/index.php/welcome/home.html

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