Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Application Oriented Multi Criteria Optimization in WSNs Using on AHP

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

With the increasing number and variety of Wireless Sensor Network (WSN) applications the need to define a suitable protocol design model that fits their specific requirements and operation has become even more pressing. The traditional methods and the well known OSI layered model prove to be inadequate for WSNs. Utilizing cross layer interactions on the other hand leads to increased efficiency in operation and prolonging the network lifetime. Similarly, proper optimization can even further add to improving the performance and reducing energy consumption in WSN. However there is no common ground to compare the suggested solutions or there is no well defined methodology for determining the optimization parameters for each specific case. In this paper we discuss two major issues: the first one is definition of optimization parameters for WSN and check for their consistency, the second one is how the suggested approach can be incorporated in a cross layer framework to provide adaptivity to different application requirements while maximizing the network performance and prolonging the network lifetime.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Akyidiz I. F., Su W., Sankarasubramaniam Y., Cayirci E. (2002) A survey on sensor networks. IEEE Communications Magazine 40(8): 102–116

    Article  Google Scholar 

  2. Srivastava V., Motani M. (2005) Cross-layer design: A survey and the road ahead. IEEE Communications Magazine 43(12): 112–119

    Article  Google Scholar 

  3. Marrón P. J., Minder D. l., Lachenmann A., Rothermel K. (2005) TinyCubus: An adaptive cross-layer framework for sensor networks. IT - Information Technology 47(2): 87–97

    Article  Google Scholar 

  4. Melodia, T., Vuran, M. C., & Pompili, D. (2006). The state-of-the-art in cross-layer design for wireless sensor networks. Lecture notes in computer science (LNCS) (Vol. 3883), June 2006. Berlin: Springer.

  5. Bouabdallah-Othman F., Bouabdallah N., & Boutaba, R. (2009). Cross-layer design for energy conservation in wireless sensor networks. In IEEE ICC 2009. Dresden, Germany, June 2009

  6. Liu, S., Bai, Y., Sha, M., Deng, Q., & Qian, D. (2008). CLEEP: A novel cross-layer energy-efficient protocol for wireless sensor networks. In Proceedings of IEEE international conference on wireless communications, networking and mobile computing (WiCOM), IEEE Communications Society Press, October 12–14, 2008. Dalian, China.

  7. Yick J., Mukherjee B., Ghosal D. (2008) Wireless sensor network survey. Computer Networks 52(12): 2292–2330

    Article  Google Scholar 

  8. Marrón, P. J., Saukh, O., Krüger, M., & Große, C. (2005). Sensor network issues in the sustainable bridges project. European projects session of the 2nd European workshop on wireless sensor networks.

  9. Tian, J., & Coletti, L. (2003). Routing approach in CarTALK 2000 project. IST—mobile & wireless communications summit 2003, Paper No. 1047. Aveiro, Portugal. June 15–18, 2003.

  10. Morsink, P. R. P. et al. (2003). CarTALK 2000: Development of a cooperative ADAS based on vehicle-to-vehicle communication. In Proceedings of 10th world congress on ITS. Madrid. November 2003 (CarTALK project).

  11. Lachenmann, A., Marron, P. J., Minder, D., & Rothermel, K. (2005). An analysis of cross-layer interactions in sensor network applications. Intelligent Sensors, Proceedings of the sensor networks and information processing conference. December 5–8, 2005.

  12. European IST project CRUISE (2007). Deliverable no.:D112.1, Report on WSN applications, their requirements, application-specific WSN issues and evaluation metrics. IST-027738/ CRUISE, 2007.

  13. Zhang, P., Sadler, C. M., Lyon, S. A., & Martonosi, M. (2004). Hardware design experiences in ZebraNet. In Proceedings of the SenSys’04. Baltimore, MD.

  14. Shnayder, V., Chen, B., Lorincz, K., Fulford-Jones, T. R. F., & Welsh, M. (2005). Sensor networks for medical care. Technical Report TR-08-05. Division of Engineering and Applied Sciences, Harvard University.

  15. Huang, J. H., Amjad, S., & Mishra, S. (2005). CenWits: A sensor-based loosely coupled search and rescue system using witnesses. In Proceedings of the third international conference on embedded networked sensor systems (Sensys). San Diego, CA.

  16. Dietterle, R. (2005). The future combat systems (FCS) overview. In Military communications conference, 2005. MILCOM 2005. October 17–20, 2005. Atlantic City, NJ

  17. Karaca, O., & Sokullu, R. (2009). Comparative study of cross layer frameworks for wireless sensor networks. In Proceedings of WirelessVitae 2009. May 17–20, 2009. Aalborg, Denmark.

  18. Saaty T. L. (1980) The analytic hierarcy process. McGraw-Hill, New York

    Google Scholar 

  19. Sokullu, R., & Karaca, O. (2009). Simple and efficient cross layer framework concept for wireless sensor networks. In The 12th international symposium on wireless personal multimedia communications. September 7–10, 2009. Sendai, Japan.

  20. Sokullu, R., & Donertas, C. (2008). Combined effects of mobility, congestion and contention on network performance for IEEE 802.15.4 based networks. In ISCIS ‘08. 23rd international symposium (pp. 1–5). October 27–29, 2008.

  21. Shakkottai S., Rappaport T. S., Karlsson P. C. (2003) Cross-layer design for wireless networks. IEEE Communications magazine 41(10): 74–80

    Article  Google Scholar 

  22. Zhao, N., & Sun, L. (2007). Research on cross-layer frameworks design in wireless sensor networks. In ICWMC ‘07: Proceedings of the third international conference on wireless and mobile communications. March 2007.

  23. Mehta, A., Deepak, T. J., & Mehta A. Compendium of applications for wireless sensor networks. White paper submitted to Tata Consultancy Services, India.

  24. Fischione, C., Park, P., Di Marco, P. & Johansson, K. H. (2010). Design principles of wireless sensor networks protocols for control applications. Wireless based network control, Berlin: Springer.

  25. Ammari, H. M., & Das, S. K. (2006). Coverage, connectivity, and fault tolerance measures of wireless sensor networks. Lecture notes in computer science, 2006 (Vol. 4280/2006, pp. 35–49).

  26. Saaty T. L. (1994) How to make a decision: The analytic hierarchy process. Interfaces 24(6): 19–43

    Article  MathSciNet  Google Scholar 

  27. Pohekar S. D., Ramachandran M. (2004) Application of multi-criteria decision making tosustainable energy planning—a review. Renewable and Sustainable Energy Reviews 8: 365–381

    Article  Google Scholar 

  28. Zhang, C., Song, X., & Li, W. (2007). A model combined fuzzy optimum theory with analytical hierarchy process for engineering design. Fuzzy systems and knowledge discovery, Fourth international conference on, August 24–27, 2007 (pp. 447–454).

  29. Yin, Y., Shi, J., Li, Y., & Zhang, P. (2006) Cluster head selection using analytical hierarchy process for wireless sensor networks. IEEE 17th international symposium on personal, indoor and mobile radio communications, 2006 (pp. 1–5).

  30. Wu, X., Cho, J., d’Auriol, B. J., & Lee, S. (2007). Energy-aware routing for wireless sensor networks by AHP. Software technologies for embedded and ubiquitous systems (Vol. 4761/2007). Berlin: Springer (pp. 446–455).

  31. Wu, X., d’Auriol, B. J., Cho, J., & Lee, S. (2008). Optimal routing in sensor networks for in-home health monitoring with multi-factor considerations. In Proceedings of the 2008 sixth annual IEEE international conference on pervasive computing and communications (pp. 720–725). Hong Kong.

Download references

Author information

Authors and Affiliations

  1. Izmir Vocational School, Dokuz Eylul University, Buca, 35160, Izmir, Turkey

    Ozlem Karaca

  2. Department of Electrical and Electronics Engineering, Ege University, Bornova, 35100, Izmir, Turkey

    Radosveta Sokullu

  3. Department of Electronic Systems, Aalborg University, 9220, Aalborg, Denmark

    Neeli R. Prasad & Ramjee Prasad

Authors
  1. Ozlem Karaca
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Radosveta Sokullu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Neeli R. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ramjee Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ozlem Karaca.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Karaca, O., Sokullu, R., Prasad, N.R. et al. Application Oriented Multi Criteria Optimization in WSNs Using on AHP. Wireless Pers Commun 65, 689–712 (2012). https://doi.org/10.1007/s11277-011-0280-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-011-0280-0

Keywords

Search

Navigation