D. F. Larios, J. Barbancho, F. J. Molina, C. León


Locating nodes is a fundamental problem in wireless networks with hundreds of devices deployed in a wide area. This is especially relevant for mobile nodes. Wireless sensor nodes are usually powered by small batteries, solar panels or piezoelectric generators, so that, and consequently, power consumption is the main constraint to deal with. But classic localization techniques do not consider the problem of energy consumption as a key point. This paper presents a novel low power and range-free localization technique based on distributed fuzzy logic and cooperative processing among a set of fixed nodes and its neighbours. This feature permits better accuracy with less power consumption than most relevant localization techniques.


  1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., and Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4):393-422.
  2. Antoine-Santoni, T., Santucci, J. F., de Gentili, E., Silvani, X., and Morandini, F. (2009). Performance of a protected wireless sensor network in a fire. analysis of fire spread and data transmission. Sensors, 9(8):5878-5893.
  3. Awad, A., Frunzke, T., and Dressler, F. (2007). Adaptive distance estimation and localization in wsn using rssi measures. In 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools, DSD 2007, pages 471-478. Sponsors: Drager; Conference code: 72733; Cited By (since 1996): 11.
  4. Boukerche, A., Oliveira, H. A. B. F., Nakamura, E. F., and Loureiro, A. A. F. (2008). Secure localization algorithms for wireless sensor networks. IEEE Communications Magazine, 46(4):96-101. Cited By (since 1996): 11.
  5. Bulusu, N., Heidemann, J., and Estrin, D. (2000). Gps-less low-cost outdoor localization for very small devices. IEEE Personal Communications, 7(5):28-34.
  6. Chiang, S. Y. and Wang, J. L. (2009). Localization in wireless sensor networks by fuzzy logic system. In 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009, volume 5712 LNAI, pages 721-728.
  7. Chung, W. Y., Lee, Y. D., and Jung, S. J. (2008). A wireless sensor network compatible wearable u-healthcare monitoring system using integrated ecg, accelerometer and spo2. In 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, pages 1529-1532.
  8. Gao, G. Q. and Lei, L. (2010). An improved node localization algorithm based on dv-hop in wsn. In Northeastern University, volume 4, pages 321-324.
  9. He, T., Krishnamurthy, S., Stankovic, J. A., Abdelzaher, T., Luo, L., Stoleru, R., Yan, T., Gu, L., Hui, J., and Krogh, B. (2004). Energy-efficient surveillance system using wireless sensor networks. MobiSys 2004 - Second International Conference on Mobile Systems, Applications and Services, pages 270-283.
  10. Polastre, J., Szewczyk, R., and Culler, D. (2005). Telos: enabling ultra-low power wireless research. In Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on, pages 364 - 369.
  11. Rajaee, S., Almodarresi, S. M. T., Sadeghi, M. H., and Aghabozorgi, M. (2008). Energy efficient localization in wireless ad-hoc sensor networks using probabilistic neural network and independent component analysis. In 2008 International Symposium on Telecommunications, IST 2008, pages 365-370.
  12. Riquelme, J. A. L., Soto, F., Suardáz, J., Sánchez, P., Iborra, A., and Vera, J. A. (2009). Wireless sensor networks for precision horticulture in southern spain. Computers and Electronics in Agriculture, 68(1):25-35.
  13. Rong, P. and Sichitiu, M. L. (2006). Angle of arrival localization for wireless sensor networks. In Sensor and Ad Hoc Communications and Networks, 2006. SECON 7806. 2006 3rd Annual IEEE Communications Society on, volume 1, pages 374-382.
  14. Tubaishat, M., Peng, Z., Qi, Q., and Yi, S. (2009). Wireless sensor networks in intelligent transportation systems. Wireless Communications and Mobile Computing, 9(3):287-302.
  15. Wu, S. H. and Zhang, N. T. (2007). Two-step toa estimation method for uwb based wireless sensor networks. Ruan Jian Xue Bao/Journal of Software, 18(5):1164-1172.
  16. Xiufang, F., Zhanqiang, G., Mian, Y., and Shibo, X. (2008). Fuzzy distance measuring based on rssi in wireless sensor network. In Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008, pages 395-400.
  17. Yick, J., Mukherjee, B., and Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12):2292-2330.

Paper Citation

in Harvard Style

F. Larios D., Barbancho J., J. Molina F. and León C. (2011). LOCALIZATION METHOD FOR LOW POWER CONSUMPTION SYSTEMS . In Proceedings of the International Conference on Data Communication Networking and Optical Communication System - Volume 1: DCNET, (ICETE 2011) ISBN 978-989-8425-69-0, pages 22-31. DOI: 10.5220/0003518000220031

in Bibtex Style

author={D. F. Larios and J. Barbancho and F. J. Molina and C. León},
booktitle={Proceedings of the International Conference on Data Communication Networking and Optical Communication System - Volume 1: DCNET, (ICETE 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Data Communication Networking and Optical Communication System - Volume 1: DCNET, (ICETE 2011)
SN - 978-989-8425-69-0
AU - F. Larios D.
AU - Barbancho J.
AU - J. Molina F.
AU - León C.
PY - 2011
SP - 22
EP - 31
DO - 10.5220/0003518000220031