Skip to main content
SpringerLink
Log in

A Smart City Fighting Pollution, by Efficiently Managing and Processing Big Data from Sensor Networks

  • Chapter
  • First Online:
Resource Management for Big Data Platforms

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

In this chapter, we will detail our view of a Smart City which benefits from the combined help of the sensors and of Big Data techniques, in order to fight pollution. We focus mostly on: (1) the management of a reliable and trustworthy mobile and static sensor network, which will gather the data; and (2) the spatial and temporal Big Data storage organization. We also point out hints about the way in which we envisage that the Smart City actions will be derived from the Big Data and the way in which they will actually be materialized by the Smart City’s actuators. We have a special section about what smart measures a Smart City should take, when it needs to fight against pollution. Among the future developments for our Smart City model, we see: (1) means to make the sensor network more resilient to insiders or outsiders’ attacks; (2) optimized high performance computing techniques, to determine a more accurate model for the Smart City’s intrinsic mechanisms; and also (3) designing models of interaction between weather forecast and the Smart City’s mechanisms in order to obtain accurate pollution forecast models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Almăşan, V.: Using peer-to-peer scalable techniques to increase service availability in SIP networks. PhD thesis, Universitatea Tehnică din Cluj-Napoca, Romania (2011)

    Google Scholar 

  2. Chang, F., Dean, J., Ghemawat, S., Hsieh, W.C., Wallach, D.A., Burrows, M., Chandra, T., Fikes, A., Gruber, R.E.: Bigtable: A Distributed Storage System for Structured Data. In OSDI, Seattle, WA, USA (2006)

    Google Scholar 

  3. Nicolae, B., Antoniu, G., Bougé, L., Moise, D., Carpen-Amarie, A.: BlobSeer: next generation data management for large scale infrastructures. J. Parallel Distrib. Comput. 71(2), 168–184 (2011)

    Article  Google Scholar 

  4. Chowdhury, M., Zaharia, M., Ma, J., Jordan, M.I., Stoica, I.: Managing data transfers in computer clusters with orchestra. In: SIGCOMM (2011)

    Google Scholar 

  5. Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J., McCauley, M., Franklin, M.J., Shenker, S., Stoica, I.: A Fault-tolerant Abstraction for In-memory Cluster Computing. In NSDI, San Jose, CA, USA (2012)

    Google Scholar 

  6. Corbett, J.C., Dean, J., Epstein, M., Fikes, A., Frost, C., Furman, J., Ghemawat, S., Gubarev, A., Heiser, C., Hochschild, P., Hsieh, W., Kanthak, S., Kogan, E., Li, H., Lloyd, A., Melnik, S., Mwaura, D., Nagle, D., Quinlan, S., Rao, R., Rolig, L., Saito, Y., Szymaniak, M., Taylor, C., Wang, R., Woodford, D.: Spanner: Google’s Globally-Distributed Database. In OSDI, Hollywood, CA, USA (2012)

    Google Scholar 

  7. Schwan, P.: Lustre—building a filesystem for 1000-node cluster. In: Proceedings of Linux Symposium (2003)

    Google Scholar 

  8. Weiser, M.: Some Computer Science Problems in Ubiquitous Computing. Communications of the ACM (1993)

    Google Scholar 

  9. Tudose, D., Patrascu, T.A., Voinescu, A., Tataroiu, R., Tapus, N.: Mobile sensors in air pollution measurement. In: Proceedings of the 18th Workshop on Positioning, Navigation and Communication (WNPC’11), Dresden, Germany, April 2011

    Google Scholar 

  10. Tataroiu, R., Tudose, D.: Remote monitoring and control of wireless sensor networks. In: Proceedings of the 17th International Conference of Control Systems and Computer Science (CSCS17), vol. 1, pp. 187–192. Bucharest, Romania (May 2009)

    Google Scholar 

  11. The MySQL database. http://dev.mysql.com/

  12. Davies, A., Fisk, H.: MySQL Clustering. MySQL Press (2006)

    Google Scholar 

  13. Sun Microsystems, I.: NFS: Network File System Protocol Specification. RFC 1094 (Standard) (1989)

    Google Scholar 

  14. Wilde, E.: Wilde’s WWW. Springer (1998)

    Google Scholar 

  15. Stoica, I., Morris, R., Karger, D., Kaashoek, F., Balakrishnan, H.: Chord: A Scalable Peer-To-Peer Lookup Service for Internet Applications. In: Proceedings of the 2001 ACM SIGCOMM Conference, pp. 149–160 (2001)

    Google Scholar 

  16. Ratnasamy, S., Francis, P., Handley, M., Karp, R., Schenker, S.: A scalable content-addressable network. In: SIGCOMM ’01: Proceedings of the 2001 conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, vol. 31, pp. 161–172. ACM Press, October 2001

    Google Scholar 

  17. Rowstron, A., Druschel, P.: Pastry: Scalable, decentralized object location and routing for large-scale peer-to-peer systems. In: IFIP/ACM International Conference on Distributed Systems Platforms (Middleware), pp. 329–350, Nov 2001

    Google Scholar 

  18. Zhao, B.Y., Huang, L., Stribling, J., Rhea, S.C., Joseph, A.D., Kubiatowicz, J.D.: Tapestry: A resilient global-scale overlay for service deployment. IEEE J. Sel. Areas Commun. 22(1), 41–53 (2004)

    Article  Google Scholar 

  19. SHA-1—Secure Hash Standard. http://www.itl.nist.gov/fipspubs/fip180-1.htm

  20. Dabek, F., Brunskill, E., Kaashoek, M.F., Karger, D., Morris, R., Stoica, I., Balakrishnan, H.: Building peer-to-peer systems with chord, a distributed lookup service. In: Proceedings of the 8th Workshop on Hot Topics in Operating Systems (HotOS-VIII), Schloss Elmau, Germany, IEEE Computer Society, May 2001

    Google Scholar 

  21. Borthakur, D., Gray, J., Sarma, J.S., Muthukkaruppan, K., Spiegelberg, N., Kuang, H., Ranganathan, K., Molkov, D., Menon, A., Rash, S., Schmidt, R., Aiyer, A.: Apache hadoop goes realtime at facebook. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, SIGMOD ’11, pp. 1071–1080. ACM, New York, NY, USA, (2011)

    Google Scholar 

  22. Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed file system. In: Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), MSST ’10, IEEE Computer Society, pp. 1–10. Washington, DC, USA (2010)

    Google Scholar 

  23. Ananthanarayanan, G., Ghodsi, A., Wang, A., Borthakur, D., Kandula, S., Shenker, S., Stoica, I.: PACMan: Coordinated Memory Caching for Parallel Jobs. In NSDI, San Jose, CA, USA (2012)

    Google Scholar 

  24. Johnson Space Center: Fault-Detection, Fault-Isolation and Recovery (FDIR) Techniques. NASA Engineering Network, Technique DFE-7 (1994)

    Google Scholar 

  25. Nithya, R., Kevin, C., Rahul, K., Lewis, G., Eddie, K., Deborah, E.: Sympathy for the Sensor Network Debugger. In: 3rd Embedded Networked Sensor Systems, pp. 255–267 (2005)

    Google Scholar 

  26. Linnyer Beatrys, R., Isabela, G.S, Leonardo, B.O., Hao, C.W., José Marcos S.N., Antonio A.F.L.: Fault Management in Event-Driven Wireless Sensor Networks. In: Proceedings of the 7th ACM international Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (2004). doi:10.1145/1023663.1023691

  27. Jinran, C., Shubha, K., Arun, S.: Distributed fault detection of wireless sensor networks. In: Proceedings of the 2006 Workshop on Dependability Issues in Wireless ad Hoc Networks and Sensor Networks (2006). doi:10.1145/1160972.1160985

  28. Benhamida, F.Z., Challal, Y., Koudil, M.: Efficient adaptive failure detection for query/response based wireless sensor networks. In: Wireless Days, IFIP (2011). doi:10.1109/WD.2011.6098190

  29. Kebin, L., Qiang, M., Xibin, Z., Yunhao, L.: Self-diagnosis for large scale wireless sensor networks. In: IEEE INFOCOM (2011)

    Google Scholar 

  30. Qiang, M., Kebin, L., Xin, M., Yunhao, L.: Sherlock is around: detecting network failures with local evidence fusion. In: IEEE INFOCOM (2012)

    Google Scholar 

  31. Alan, M., David, C., Joseph, P., Robert, S., John, A.: Wireless sensor networks for habitat monitoring. In: Proceedings of the 1st ACM international Workshop on Wireless Sensor Networks and Applications, WSNA (2002). doi:10.1145/570738.570751

  32. Jeongyeup, P., Chintalapudi, K., Govindan, R., Caffrey, J., Masri, D.: A wireless sensor network for structural health monitoring: performance and experience. In: Proceedings of the 2nd IEEE Workshop on Embedded Networked Sensors, pp. 1–9. EmNets (2005)

    Google Scholar 

  33. Clemens, L., Nagendra, B.B., Daniel, R., Gerhard T.: On-body activity recognition in a dynamic sensor network. In: Proceedings of the ICST 2nd international conference on Body area networks, BodyNets (2007)

    Google Scholar 

  34. Phillip, B.G., Brad, K., Yan, K., Suman, N., Srinivasan, S.: IrisNet: An architecture for a worldwide sensor web. IEEE Pervasive Comput. 2(4), 22–33 (2003). doi:10.1109/MPRV.2003.1251166

    Google Scholar 

  35. Adam, D., Richard, G., Sergio, A.M., Arnold, P., Mats, U.: Janus: an architecture for flexible access to sensor networks. In: Proceedings of the 1st ACM workshop on Dynamic interconnection of networks, DIN, pp. 48-52 (2005). doi:10.1145/1080776.1080792

  36. Mani, S., Mark, H., Jeff, B., Andrew, P., Sasank, R.: Wireless Urban Sensing Systems (2006)

    Google Scholar 

  37. Jung, Y.J., Lee, Y.K., Lee, D.G., Ryu, K.H., Nittel, S.: Air pollution monitoring system based on geosensor network. In: Geoscience and Remote Sensing Symposium, IGARSS (2008); IEEE International, vol. 3 (2009)

    Google Scholar 

  38. Kularatna, N., Sudantha, B.: An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements. IEEE Sens. J. 8(4) (2008)

    Google Scholar 

  39. Tsow, F., Forzani, E., Rai, A., Wang, R., Tsui, R., Mastroianni, S., Knobbe, C., Gandolfi, A.J., Tao, N.: A wearable and wireless sensor system for real-time monitoring of toxic environmental volatile organic compounds. IEEE Sens. J. 9(12) (2009)

    Google Scholar 

  40. Jeff, S., Peter, P., Jonathan, L., Mema, R., Margo, S., Matt, W.: Hourglass: An Infrastructure for Connecting Sensor Networks and Applications (2004)

    Google Scholar 

  41. Botts, M., Percivall, G., Reed, C., Davidson, J.: OGC Sensor Web Enablement: Overview and High Level Architecture, ed. pp. 175–190. Springer (2006)

    Google Scholar 

  42. Aman, K., Suman, N., Jie, L., Zhao, Feng: SenseWeb: an infrastructure for shared sensing. IEEE Multimedia 14(4), 8–13 (2007). doi:10.1109/MMUL.2007.82

    Article  Google Scholar 

  43. Shuo, G., Ziguo, Z., Tian, H.: FIND: faulty node detection for wireless sensor networks. In: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, pp. 253-266. Berkeley, California (2009). doi:10.1145/1644038.1644064

  44. Spark – lightning-fast cluster computing. http://spark-project.org/

  45. Silvia Stegaru: Failure and Abnormal Behaviour Detection in Wireless Sensor Networks. Master thesis (2013)

    Google Scholar 

  46. United States Environmental Protection Agency: Carbon Monoxide (CO). http://www.epa.gov/iaq/co.html

  47. Agency for Toxic Substances and Disease Registry: Medical Management Guidelines for Ammonia. http://www.atsdr.cdc.gov/mmg/mmg.asp?id=7&tid=2

  48. Healthy child, healthy world: Keep amonia out of your home. http://healthychild.org/easy-steps/keep-ammonia-out-of-your-home/

  49. New York Department of Health: Hydrogen Sulfide Chemical Information Sheet. http://www.health.state.ny.us/nysdoh/environ/btsa/sulfide.htm

  50. American Lung Association Energy Policy Development: Transportation Background Document. Prepared by M.J. Bradley & Associates LLC (2011)

    Google Scholar 

  51. WebMD Asthma Health Center: High Carbon Dioxide Levels May Up Asthma Rate. http://www.webmd.com/asthma/news/20040429/high-carbon-dioxide-levels-may-up-asthma-rate?lastselectedguid=%7b5FE

  52. Pollution Track. http://pollutiontrack.com/

Download references

Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, University Politehnica of Bucharest, Splaiul Independenei 313, Sector 6, Bucharest, Romania

    Voichita Iancu, Silvia Cristina Stegaru & Dan Stefan Tudose

Authors
  1. Voichita Iancu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Silvia Cristina Stegaru
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dan Stefan Tudose
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dan Stefan Tudose .

Editor information

Editors and Affiliations

  1. University Politehnica of Bucharest, Bucharest, Romania

    Florin Pop

  2. Cracow University of Technology, Cracow, Poland

    Joanna Kołodziej

  3. Second University of Naples, Naples, Caserta, Italy

    Beniamino Di Martino

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this chapter

Cite this chapter

Iancu, V., Stegaru, S.C., Tudose, D.S. (2016). A Smart City Fighting Pollution, by Efficiently Managing and Processing Big Data from Sensor Networks. In: Pop, F., Kołodziej, J., Di Martino, B. (eds) Resource Management for Big Data Platforms. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-44881-7_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-44881-7_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44880-0

  • Online ISBN: 978-3-319-44881-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation