Intelligent-Based Mobility Models for Data Management in Wireless Sensor Networks | SpringerLink
Skip to main content
Springer Nature Link
Log in

Intelligent-Based Mobility Models for Data Management in Wireless Sensor Networks

  • Chapter
Intelligent Systems for Knowledge Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 252))

  • 1175 Accesses

Abstract

Wireless sensor networks (WSNs) are proposed as powerful means for fine grained monitoring in different classes of applications at very low cost and for extended periods of time. Among various solutions, supporting WSNs with intelligent mobile platforms for handling the data management, proved its benefits towards extending the network lifetime and enhancing its performance. The mobility model applied highly affects the data latency in the network as well as the sensors’ energy consumption levels. Intelligent-based models taking into consideration the network runtime conditions are adopted to overcome such problems. In this chapter, existing proposals that use intelligent mobility for managing the data in WSNs are surveyed. Different classifications are presented through the chapter to give a complete view on the solutions lying in this domain. Furthermore, these models are compared considering various metrics and design goals.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 17159
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 21449
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
JPY 21449
Price includes VAT (Japan)
  • 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: A survey. Computer Networks 38, 393–422 (2002)

    Article  Google Scholar 

  2. Culler, D., Estrin, D., Srivastava, M.: Introduction: Overview of sensor networks. IEEE Computer 37, 41–49 (2004)

    Google Scholar 

  3. Estrin, D., Govindan, R., Heidemann, J., Kumar, S.: Next century challenges: Scalable coordination in sensor networks. In: Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), pp. 263–270 (1999)

    Google Scholar 

  4. Grossglauser, M., Tse, D.N.C.: Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Transactions on Networking 10, 477–486 (2002)

    Article  Google Scholar 

  5. Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: A survey. IEEE Wireless Communications 11, 6–28 (2004)

    Article  Google Scholar 

  6. Datta, N.N., Gopinath, K.: A survey of routing algorithms for wireless sensor networks. Journal of Indian Institute of Science 86, 569–598 (2006)

    Google Scholar 

  7. Jiang, Q., Manivannan, D.: Routing protocols for sensor networks. In: Proceedings of the 1st IEEE Consumer Communications and Networking Conference (CCNC), January 2004, pp. 93–98 (2004)

    Google Scholar 

  8. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1, 660–670 (2002)

    Article  Google Scholar 

  9. Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F.: Directed diffusion for wireless sensor networking. IEEE/ACM Transactions on Networking 11, 2–16 (2003)

    Article  Google Scholar 

  10. Zhao, W., Ammar, M.H.: Message ferrying: Proactive routing in highly-partitioned wireless ad hoc networks. In: 9th IEEE Workshop on Future Trends of Distributed Computing Systems (FTDCS) (May 2003)

    Google Scholar 

  11. Kansal, A., Somasundara, A.A., Jea, D.D., Srivastava, M.B., Estrin, D.: Intelligent fluid infrastructure for embedded networks. In: Proceedings of the 2nd International Conference on Mobile Systems, Applications, and Services, MobiSys (2004)

    Google Scholar 

  12. Pentland, A., Fletcher, R., Hasson, A.: Daknet: Rethinking connectivity in developing nations. Computer 37, 78–83 (2004)

    Article  Google Scholar 

  13. Small, T., Haas, Z.J.: The shared wireless infostation model: a new ad hoc networking paradigm (or where there is a whale, there is a way). In: Proceedings of the 4th ACM International Symposium on Mobile Ad hoc Networking and Computing, MobiHoc (2003)

    Google Scholar 

  14. Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L.S., Rubenstein, D.: Energy-efficient computing for wildlife tracking: Design tradeoffs and early experiences with zebranet. ACM SIGOPS Operating Systems Review 36, 96–107 (2002)

    Article  Google Scholar 

  15. Akkaya, K., Younis, M., Bangad, M.: Sink repositioning for enhanced performance in wireless sensor networks. Computer Networks 49, 512–534 (2005)

    Article  Google Scholar 

  16. Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., Wang, Z.M.: Controlled sink mobility for prolonging wireless sensor networks lifetime. ACM/Elsevier Wireless Networks (to appear) (2007)

    Google Scholar 

  17. Bi, Y., Sun, L., Ma, J., Li, N., Khan, I.A., Chen, C.: Hums: An autonomous moving strategy for mobile sinks in data-gathering sensor networks. EURASIP Journal on Wireless Communications and Networking 2007 (2007)

    Google Scholar 

  18. Chen, J.M.C., Yu, K.: Designing energy-efficient wireless sensor networks with mobile sinks. In: Workshop on World-Sensor-Web (WSW) at ACM SenSys (2006)

    Google Scholar 

  19. Gandham, S.R., Dawande, M., Prakash, R., Venkatesan, S.: Energy efficient schemes for wireless sensor networks with multiple mobile base stations. In: Proceedings of the IEEE Global Telecommunications Conference, GLOBECOM (2003)

    Google Scholar 

  20. Luo, J., Hubaux, J.P.: Joint mobility and routing for lifetime elongation in wireless sensor networks. In: Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM) (March 2005)

    Google Scholar 

  21. Wang, W., Srinivasan, V., Chua, K.: Using mobile relays to prolong the lifetime of wireless sensor networks. In: Proceedings of the 11th Annual International Conference on Mobile Computing and Networking, MobiCom (2005)

    Google Scholar 

  22. Wang, Z.M., Basagni, S., Melachrinoudis, E., Petrioli, C.: Exploiting sink mobility for maximizing sensor networks lifetime. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, HICSS (2005)

    Google Scholar 

  23. Bi, Y., Niu, J., Sun, L., Huangfu, W., Sun, Y.: Moving schemes for mobile sinks in wireless sensor networks. In: Proceedings of the IEEE International Performance, Computing, and Communications Conference, IPCCC (2007)

    Google Scholar 

  24. Sun, L., Bi, Y., Ma, J.: A moving strategy for mobile sinks in wireless sensor networks. In: 2nd IEEE Workshop on Wireless Mesh Networks, WiMesh (2006)

    Google Scholar 

  25. Jun, H., Zhao, W., Ammar, M.H., Zegura, E.W., Lee, C.: Trading latency for energy in densely deployed wireless ad hoc networks using message ferrying. Ad Hoc Networks 5, 444–461 (2007)

    Article  Google Scholar 

  26. Jain, S., Shah, R.C., Brunette, W., Borriello, G., Roy, S.: Exploiting mobility for energy efficient data collection in wireless sensor networks. Mobile Networks and Applications 11, 327–339 (2006)

    Article  Google Scholar 

  27. Shah, R.C., Roy, S., Jain, S., Brunette, W.: Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks. Ad Hoc Networks 1, 215–233 (2003)

    Article  Google Scholar 

  28. Vahdat, A., Becker, D.: Epidemic routing for partially connected ad hoc networks. Technical Report CS-200006, Duke University, Durham, NC (April 2000)

    Google Scholar 

  29. Spyropoulos, T., Psounis, K., Raghavendra, C.S.: Single-copy routing in intermittently connected mobile networks. In: Proceedings of the 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON (2004)

    Google Scholar 

  30. Diggavi, S., Grossglauser, M., Tse, D.: Even one-dimensional mobility increases ad hoc wireless capacity. In: Proceedings of the IEEE International Symposium on Information Theory, ISIT (2002)

    Google Scholar 

  31. Chakrabarti, A., Sabharwal, A., Aazhang, B.: Using predictable observer mobility for power efficient design of sensor networks. In: 2nd International Workshop on Information Processing in Sensor Networks, IPSN (2003)

    Google Scholar 

  32. Baruah, P., Urgaonkar, R., Krishnamachari, B.: Learning enforced time domain routing to mobile sinks in wireless sensor fields. In: Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (2004)

    Google Scholar 

  33. Chatzigiannakis, I., Kinalis, A., Nikoletseas, S.: Sink mobility protocols for data collection in wireless sensor networks. In: 4th ACM International Workshop on Mobility Management and Wireless Access, MobiWac (2006)

    Google Scholar 

  34. Kansal, A., Rahimi, M., Estrin, D., Kaiser, W., Pottie, G.J., Srivastava, M.B.: Controlled mobility for sustainable wireless sensor networks. In: Proceedings of the 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON (2004)

    Google Scholar 

  35. Basagni, S., Carosi, A., Petrioli, C.: Controlled vs. uncontrolled mobility in wireless sensor networks: Some performance insights. In: Proceedings of the IEEE 66th Vehicular Technology Conference (2007)

    Google Scholar 

  36. Tirta, Y., Lau, B., Malhotra, N., Bagchi, S., Li, Z., Lu, Y.: Controlled mobility for efficient data gathering in sensor networks with passively mobile nodes. Sensor Network Operations 3.2, 92–113 (2006)

    Google Scholar 

  37. Gu, Y., Bozdag, D., Ekici, E., Ozguner, F., Lee, C.: Partitioning based mobile element scheduling in wireless sensor networks. In: Proceedings of the 2nd Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON (2005)

    Google Scholar 

  38. Ngai, E.C.H., Lin, J., Lyu, M.R.: Delay-minimized route design for wireless sensor-actuator networks. In: Proceedings of the IEEE Wireless Communications and Networking Conference, WCNC (2007)

    Google Scholar 

  39. Somasundara, A.A., Ramamoorthy, A., Srivastava, M.B.: Mobile element scheduling with dynamic deadlines. IEEE Transactions on Mobile Computing 6, 395–410 (2007)

    Article  Google Scholar 

  40. Goldenberg, D., Lin, J., Morse, A.S., Rosen, B., Yang, Y.R.: Towards mobility as a network control primitive. In: Proceedings of the 5th ACM International Symposium on Mobile Ad hoc Networking and Computing, MobiHoc (2004)

    Google Scholar 

  41. Wang, G., Cao, G., Porta, T.L.: Movement-assisted sensor deployment. In: Proceedings of the 23rd IEEE Conference on Computer Communications (2004)

    Google Scholar 

  42. Batalin, M.A., Rahimi, M., Yu, Y., Liu, D., Kansal, A., Sukhatme, G.S., Kaiser, W.J., Hansen, M., Pottie, G.J., Srivastava, M., Estrin., D.: Call and response: Experiments in sampling the environment. In: Proceedings of the 2nd ACM SenSys (2004)

    Google Scholar 

  43. Priyantha, N.B., Balakrishnan, H., Demaine, E., Teller, S.: Mobile-assisted localization in wireless sensor networks. In: Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM (2005)

    Google Scholar 

  44. Solomon, M.: Algorithms for the vehicle routing and scheduling problem with time window constraints. Operations Research 35 (1987)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre for Intelligent Systems Research, Deakin University, Australia

    Samer Hanoun & Saeid Nahavandi (SMIEEE)

Authors
  1. Samer Hanoun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saeid Nahavandi (SMIEEE)
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str.Wyb.Wypsianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Faculty of Management and Economics, Gdansk University of Technology, Str.Narutowicza 11/12, 80-233, Gdansk, Poland

    Edward Szczerbicki

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Hanoun, S., Nahavandi (SMIEEE), S. (2009). Intelligent-Based Mobility Models for Data Management in Wireless Sensor Networks. In: Nguyen, N.T., Szczerbicki, E. (eds) Intelligent Systems for Knowledge Management. Studies in Computational Intelligence, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04170-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04170-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04169-3

  • Online ISBN: 978-3-642-04170-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation