Skip to main content

Automatic Sensor Configuration for Creating Customized Sensor Network

  • Conference paper
  • First Online:
Modern Trends and Techniques in Computer Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 285))

  • 910 Accesses

Abstract

A sensor network is expected to provide effective delivery of its services by taking an appropriate action based on one or more situations that it senses in the environment. However, due to the dynamism of application requirements and user context, it is often required to re-configure services from a sensor network to meet specific application needs. This paper is an attempt to enable dynamic adaptation of sensor network services with a web-based database consists of sensors’ MAC address, vendor ID and data frame. We propose a semantics-based architecture where ASC connects with sensor and matches the received data with the database and connects the sensor with the mobile device. ASC works on full-duplex communication to observe sensors as well as control mobile devices. Wide ranges of android and java libraries are capable to manipulate embedded systems from smart-phones. It’s application in the field of education, security and surveillance, environment research and military. In this paper, we represent the structure and functioning of ASC for Bluetooth devices and its applications.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)

    Article  Google Scholar 

  2. Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Comput. Netw. 52(12), 2292–2330 (2008)

    Article  Google Scholar 

  3. Balani, R., Han, C.C., Rengaswamy, R.K., Tsigkogiannis, I., Srivastava, M.: Multi-level software reconfiguration for sensor networks. In: Proceedings of International Conference on Embedded Software (EMSOFT’06), pp. 121–130. ACM Press, NY (2006)

    Google Scholar 

  4. Kramer, J., Magee, J.: Self-managed systems: an architectural challenge. In: Proceedings of International Conference on Future of Software Engineering (FOSE’07), pp. 259–268 (2007)

    Google Scholar 

  5. IBM: An architectural blueprint for autonomic computing. White Paper, June 2005

    Google Scholar 

  6. Marsh, D., Tynan, R., O’Kane, D., O’Hare, G.P.: Autonomic wireless sensor networks. Eng. Appl. Artif. Intell. 17(7), 741–748 (2004)

    Google Scholar 

  7. Stollberg, M.: SHAPE: service and software architectures, infrastructures and engineering. White Paper (2010)

    Google Scholar 

  8. Williams, B., Nayak, P.: A model-based approach to reactive self-configuring systems. In: Proceedings of AAAI’96, pp. 971–978 (1996)

    Google Scholar 

  9. Loo, B.T., Condie, T., Hellerstein, J.M., Maniatis, P., Roscoe, T., Stoica, I.: Implementing declarative overlays. ACM SIGOPS Operating Syst. Rev. 39(5), 90 (2005)

    Article  Google Scholar 

  10. Lim, A.: Distributed services for information dissemination in self-organizing sensor networks. J. Franklin Inst. 338(6), 707–727 (2001)

    Article  MATH  Google Scholar 

  11. Usländer, T.: Reference model for the ORCHESTRA architecture (RM-OA). Open Geospatial Consortium https://portal.opengeospatial.org/files (2005)

  12. Bulusu, N., Heidemann, J., Estrin, D., Tran, T.: Self-configuring localization systems: design and experimental evaluation. ACM Trans. Embedded Comput. Syst. (TECS) 3(1), 24–60 (2004)

    Article  Google Scholar 

  13. Clare, L., Pottie, G., Agre, J.: Self-organizing distributed sensor networks. Proc. SPIE 3713(229), 229–237 (1999)

    Article  Google Scholar 

  14. Stollberg, M.: SHAPE: service and software architectures, infrastructures and engineering. White Paper (2010)

    Google Scholar 

  15. Presser, M., Daras, P., Baker, N., Karnouskos, S., Gluhak, A., Krco, S., Diaz, C., Verbauwhede, I., Naqvi, S., Alvarez, F., Fernandez-Cuesta, A.: Real world internet. Position paper. Future Internet Assembly (2010)

    Google Scholar 

  16. Roggen, D., Förster, K., Calatroni, A., Holleczek, T., Fang, Y., Tröster, G., Lukowicz, P., Pirkl, G., Bannach, D., Kunze, K.: OPPORTUNITY: towards opportunistic activity and context recognition systems. In: Proceedings of the Third IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (2009)

    Google Scholar 

  17. Zhang, W., Hansen, K.: Semantic web based self-management for a pervasive service middleware. In: Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pp. 245–254. IEEE CS Press, Los Alamitos, CA (2008)

    Google Scholar 

  18. Spalazzese, R., Inverardi, P., Issarny, V.: A formalization of mediating connectors: towards on the fly interoperability. Technical Report, TRCS 004/2009, University of L’Aquila (2009)

    Google Scholar 

  19. Klopfer, M., Simonis, I.: SANY-an open service architecture for sensor networks: SANY Consortium, 2009

    Google Scholar 

  20. Botts, M., Percivall, G., Reed, C., Davidson, J.: OGC® sensor web enablement: overview and high level architecture. GeoSensor Networks, pp. 175–190 (2008)

    Google Scholar 

  21. Li, L., Taylor, K., A framework for semantic sensor network services. In”: Proceedings of International Conference on Service Oriented Computing (ICSOC’08), pp. 347–361 (2008)

    Google Scholar 

  22. Bröring, A., Janowicz, K., Stasch, C., Kuhn, W.: Semantic challenges for sensor plug and play. Web Wireless Geogr. Inf. Syst., LNCS 5886, 72–86 (2009)

    Article  Google Scholar 

  23. Uschold, M., Clark, P., Dickey, F., Fung, C., Smith, S., Uczekaj, S., Wilke, M., Bechhofer, S., Horrocks, I.: A semantic infosphere. Proceedings of International Semantic Web Conference (ISWC’03), pp. 882–896 (2003)

    Google Scholar 

  24. Wang, J., Jin, B., Li, J.: An ontology-based publish/subscribe system. In: Proceedings of Middleware’04, pp. 232–253 (2004)

    Google Scholar 

  25. Facca, F., Komazec, S., Zaremba, M.: Towards a semantic enabled middleware for publish/subscribe applications. In: Proceedings of IEEE International Conference on Semantic Computing (ICSC’08), pp. 498–503. IEEE CS Press, Los Alamitos (2008)

    Google Scholar 

  26. Qian, J., Yin, J., Shi, D., Dong, J.: Exploring a semantic publish/subscribe middleware for event-based SOA. In: Proceedings of IEEE Asia-Pacific Services Computing Conference, pp. 1269–1275. IEEE CS Press, Los Alamitos (2008)

    Google Scholar 

  27. Petrovic, M., Burcea, I., Jacobsen, H.: S-ToPSS: semantic Toronto publish/subscribe system. In: Proceedings of the 29th VLDB Conference, pp. 1104–1107 (2003)

    Google Scholar 

  28. Zeng, L., Lei, H.: A semantic publish/subscribe system. In: Proceedings of IEEE International Conference on E-Commerce Technology for Dynamic E-Business (CEC-East’04), pp. 32–39. IEEE CS Press, Los Alamitos (2004)

    Google Scholar 

  29. Lim, A.: Distributed services for information dissemination in self-organizing sensor networks. J. Franklin Inst. 338(6), 707–727 (2001)

    Article  MATH  Google Scholar 

  30. Rajan, D., Spanias, A., Ranganath, S., Banavar, M.K., Spanias, P.: Health monitoring laboratories by interfacing physiological sensors to mobile android devices. In: Frontiers in Education Conference, 2013 IEEE, pp. 1049–1055. ISSN: 0190-5848

    Google Scholar 

  31. Kanoun, K., Mamaghanian, H., Khaled, N., Atienza, D.: A real-time compressed sensing based personal cardiogram monitoring system. In: Design, Automation and Test in Europe Conference and Exhibition (DATE), 2011. ISSN: 1530-1591, ISBN: 978-1-61284-208-0

    Google Scholar 

  32. Pelegris, P., Banitsas, K., Orbach, T., Marias, K.: A novel method to detect heart beat rate using a mobile phone. In: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, pp. 5488 – 5491. ISSN: 1557-170X

    Google Scholar 

  33. Spanias, A., Atti, V.: Interactive online undergraduate laboratories using J-DSP. IEEE Trans. Educ. 48, 735–749. ISSN: 0018-9359

    Google Scholar 

  34. Mohammad, B., Elgabra, H., Ashour, R., Saleh, H.: Portable wireless biomedical temperature monitoring system: architecture and implementation. In: Innovations in Information Technology (IIT), 2013 9th International Conference. INSPEC Accession number: 13583533, pp. 95–100

    Google Scholar 

  35. Bande, V., Pop, S., Ciascai, I., Pitica, D.: Real-time sensor acquisition interfacing using MatLAB, pp. 189–192. ISBN: 978-1-4673-4757-0

    Google Scholar 

  36. Gervais, S.: Next smart sensors generation. Sensors Applications Symposium (SAS), 2011 IEEE, pp. 193-196. ISBN: 978-1-4244-8063-0

    Google Scholar 

  37. Kofi, A., Makinwa, A.: Smart CMOS temperature sensors. 3rd International workshop on advances in sensors and interfaces (IWASI 2009), p. 87. ISBN: 978-1-4244-4708-4

    Google Scholar 

  38. Blockly programming environment on https://code.google.com/p/blockly/

  39. Chun, S.-J., Seoul National University of Education: Development and Application of a Web-based Programming Learning System with LED Display Kits, chunsj@snue.ac.kr

    Google Scholar 

  40. Ryoo, J., The Pennsylvania State University-Altoona: Development and Application of a Web-based Programming Learning System with LED Display Kits, jryoo@psu.edu

    Google Scholar 

  41. Zephyr HXM BT—Bluetooth heart rate monitor, Zephyr Technologies, 2012 on http://www.zephyranywhere.com/products/hxm-bluetooth-heart-rate-monitor/

  42. Zhang, P., Chen, M., He, P.-J.: The study of interfacing wireless sensor networks to grid computing based on web service. Second international workshop on education technology and computer science (ETCS), 2010, vol. 1, pp. 439–442. ISBN: 978-1-4244-6388-6

    Google Scholar 

  43. Al-Ali, A.R., Aji, Y.R., Othman, H.F., Fakhreddin, F.T.: Wireless smart sensors networks overview. In: Second IFIP International Conference on Wireless and Optical Communications Networks (WOCN 2005), pp. 536–540. ISBN: 0-7803-9019-9

    Google Scholar 

  44. Ukil, A.: Towards networked smart digital sensors: a review. Industrial Electronics, 2008, (IECON 2008), 34th Annual Conference of IEEE, pp. 1798–1802. ISSN: 1553-572X

    Google Scholar 

  45. Barowski, L.A.: Chief Software Engineer, jGrasp. http://www.jgrasp.org/index.html

  46. Cross II, J.H.: Project Director, jGrasp. http://www.jgrasp.org/index.html

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ketul B. Shah .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Shah, K.B., Lee, Y. (2014). Automatic Sensor Configuration for Creating Customized Sensor Network. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06740-7_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06739-1

  • Online ISBN: 978-3-319-06740-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics