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Searching for the internet of things: where it is and what it looks like

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Abstract

The Internet of Things (IoT), in general, is a compelling paradigm that aims to connect everyday objects to the Internet. Nowadays, IoT is considered as one of the main technologies which contribute towards reshaping our daily lives in the next decade. IoT unlocks many exciting new opportunities in a variety of applications in research and industry domains. However, many have complained about the absence of the real-world IoT data. Unsurprisingly, a common question that arises regularly nowadays is “Does the IoT already exist?”. So far, little has been known about the real-world situation on IoT, its attributes, the presentation of data, and user interests. To answer this question, in this work, we conduct an in-depth analytical investigation on real IoT data. More specifically, we identify IoT data sources over the Web and develop a crawler engine to collect large-scale real-world IoT data for the first time. We make the results of our work available to the public in order to assist the community in the future research. In particular, we collect the data of nearly two million Internet connected objects and study trends in IoT using a real-world query set from an IoT search engine. Based on the collected data and our analysis, we identify the typical characteristics of IoT data. The most intriguing finding of our study is that IoT data is mainly disseminated using Web Mapping while the emerging IoT solutions such as the Web of Things are currently not well adopted. On top of our findings, we further discuss future challenges and open research problems in the IoT area.

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Notes

  1. http://www.gartner.com/newsroom/id/3114217

  2. http://www.flightradar24.com

  3. http://www.thingful.net

  4. http://graphofthings.org

  5. https://www.shodan.io

  6. www.xively.com

  7. www.thingspeak.com/

  8. https://sen.se/mother

  9. http://flightradar24.com

  10. www.marinetraffic.com

  11. www.waze.com/livemap

  12. rastrack.co.uk

  13. https://personal.xively.com/dev/docs/api/

  14. https://github.com/webofthings

  15. https://github.com/nodesign/weio/tree/master/examples

  16. https://wotkit.sensetecnic.com/wotkit/

  17. http://flightradar24.com

  18. http://www.arrivabus.co.uk/journeyplanner/help/en?tpl=livemap

  19. https://www.waze.com

  20. http://we-io.net

  21. https://github.com/webofthings

  22. https://github.com/webofthings/webofthings-projects-directory/wiki/Web-of-Things-Projects-Directory

  23. http://cs.adelaide.edu.au/~ali/iot/data1.zip

  24. http://coap.technology/

  25. http://trends.google.com/

  26. http://www.alexa.com

  27. http://wisp.wikispaces.com/

References

  1. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805

    Article  MATH  Google Scholar 

  2. Blackstock M, Lea R (2012) Iot mashups with the wotkit. In: Proceedings of the 3rd international conference on the internet of things (IOT 2012). IEEE, pp 159–166

  3. Castro M, Jara AJ, Skarmeta AF (2012) An analysis of m2m platforms: challenges and opportunities for the internet of things. In: Proceedings of the 6th international conference on innovative mobile and internet services in ubiquitous computing (IMIS 2012). IEEE, pp 757–762

  4. Da Xu L, He W, Li S (2014) Internet of things in industries: a survey. IEEE Trans Ind Inf 10(4):2233–2243

    Article  Google Scholar 

  5. Ebrahimi M, Shafieibavani E, Wong RK, Chi C-H (2015) A new meta-heuristic approach for efficient search in the internet of things. In: Proceedings of the 12th IEEE international conference on services computing (SCC 2015). IEEE, pp 264– 270

  6. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (iot): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29(7):1645–1660

    Article  Google Scholar 

  7. Haklay M, Singleton A, Parker C (2008) Web mapping 2.0: the neogeography of the geoweb. Geography Compass 2(6):2011–2039

    Article  Google Scholar 

  8. Jiang L, Da Xu L, Cai H, Jiang Z, Bu F, Xu B (2014) An iot-oriented data storage framework in cloud computing platform. IEEE Trans Ind Inf 10(2):1443–1451

    Article  Google Scholar 

  9. Kanhabua N, Blanco R, Nørvåg K, et al (2015) Temporal information retrieval. Found Trends®; Inf Retr 9(2):91–208

    Article  Google Scholar 

  10. Kim J, Lee J, Kim J, Yun J (2014) M2m service platforms: survey, issues, and enabling technologies. IEEE Commun Surv Tutorials 16(1):61–76

    Article  Google Scholar 

  11. Kortuem G, Kawsar F, Fitton D, Sundramoorthy V (2010) Smart objects as building blocks for the internet of things. IEEE Internet Comput 14(1):44–51

    Article  Google Scholar 

  12. Ma Y, Rao J, Hu W, Meng X, Han X, Zhang Y, Chai Y, Liu C (2012) An efficient index for massive iot data in cloud environment. In: Proceedings of the 21st ACM international conference on information and knowledge management (CIKM 2012), pp 2129–2133

  13. Nitti M, Atzori L, Cvijikj I (2015) Friendship selection in the social internet of things: challenges and possible strategies. IEEE Internet Things J 2(3):240–247

    Article  Google Scholar 

  14. Ostermaier B, Romer K, Mattern F, Fahrmair M, Kellerer W (2010) A real-time search engine for the web of things. In: Proceedings of the 2nd internet of things conference (IOT 2010). IEEE, pp 1–8

  15. Pang Z, Chen Q, Tian J, Zheng L, Dubrova E (2013) Ecosystem analysis in the design of open platform-based in-home healthcare terminals towards the internet-of-things. In: Proceedings of the 15th international conference on advanced communication technology (ICACT 2013), pp 529–534

  16. Perera C, Zaslavsky A, Christen P, Compton M, Georgakopoulos D (2013) Context-aware sensor search, selection and ranking model for internet of things middleware. In: Proceedings of the 14th IEEE international conference on mobile data management (MDM 2013), vol 1. IEEE, pp 314–322

  17. Pintus A, Carboni D, Piras A (2012) Paraimpu: a platform for a social web of things. In: Proceedings of the 21st international companion conference on World Wide Web (WWW 2012), pp 401–404

  18. Qin Y, Sheng QZ, Falkner NJG, Dustdar S, Wang H, Vasilakos AV (2016) When things matter: a survey on data-centric internet of things. J Netw Comput Appl 64:137–153

    Article  Google Scholar 

  19. Qin Y, Sheng QZ, Zhang WE (2015) SIEF efficiently answering distance queries for failure prone graphs. In: Proceedings of the 18th international conference on extending database technology (EDBT), pp 145–156

  20. Raggett D (2015) The web of things: challenges and opportunities. Computer 48(5):26–32

    Article  Google Scholar 

  21. Shemshadi A, Yao L, Qin Y, Sheng QZ, Zhang Y (2015) Ecs: A framework for diversified and relevant search in the internet of things. In: Proceedings of the 15th international conference on web information systems engineering (WISE). Springer, pp 448–462

  22. Urbanek S, Rubner Y (2012) emdist: earth mover’s distance. R package version 0.3-1

  23. Want R, Schilit BN, Jenson S (2015) Enabling the internet of things. Computer 48(1):28–35

    Article  Google Scholar 

  24. Welbourne E, Battle L, Cole G, Gould K, Rector K, Raymer S, Balazinska M, Borriello G (2009) Building the internet of things using rfid: the rfid ecosystem experience. IEEE Internet Comput 13(3):48–55

    Article  Google Scholar 

  25. Whitmore A, Agarwal A, Da Xu L (2014) The internet of things–a survey of topics and trends. Inf Syst Front 17(2):261–274

    Article  Google Scholar 

  26. Wu G, Talwar S, Johnsson K, Himayat N, Johnson KD (2011) M2m: From mobile to embedded internet. IEEE Commun Mag 49(4):36–43

    Article  Google Scholar 

  27. Yao L, Sheng QZ (2013) Correlation discovery in web of things. In: Proceedings of the 22nd international companion conference on World Wide Web (WWW 2013), pp 215–216

  28. Yao L, Sheng QZ, Qin Y, Wang X, Shemshadi A, He Q (2015) Context-aware point-of-interest recommendation using tensor factorization with social regularization. In: Proceedings of the 38th international ACM SIGIR conference on research and development in inf. retrieval (SIGIR), pp 1007–1010

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Authors and Affiliations

  1. The University of Adelaide, Adelaide, Australia

    Ali Shemshadi, Quan Z. Sheng & Wei Emma Zhang

  2. Macquarie University, Sydney, Australia

    Quan Z. Sheng

  3. The University of Huddersfield, Huddersfield, England

    Yongrui Qin

  4. Nanyang Technological University, Singapore, Singapore

    Aixin Sun

  5. The University of New South Wales, Sydney, Australia

    Lina Yao

Authors
  1. Ali Shemshadi
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  2. Quan Z. Sheng
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  3. Yongrui Qin
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  4. Aixin Sun
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  5. Wei Emma Zhang
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  6. Lina Yao
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Correspondence to Ali Shemshadi.

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Shemshadi, A., Sheng, Q.Z., Qin, Y. et al. Searching for the internet of things: where it is and what it looks like. Pers Ubiquit Comput 21, 1097–1112 (2017). https://doi.org/10.1007/s00779-017-1034-0

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  • DOI: https://doi.org/10.1007/s00779-017-1034-0

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