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Fuzzy Logic-Based Range-Free Localization for Wireless Sensor Networks in Agriculture

  • Arindam GiriEmail author
  • Subrata Dutta
  • Sarmistha Neogy
Chapter
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 995)

Abstract

Knowing the accurate location of nodes in wireless sensor networks (WSN) is a major concern in many location-dependent applications. Especially in agricultural monitoring, accurate location of the affected crop is required for effective use of fertilizers or pesticides. Low-cost and accurate localization algorithms need to be developed for such applications. Range-free localization like DV-Hop has become popular over the years due to its simplicity and that too without complicated hardware. This paper proposes a modified DV-Hop algorithm that improves the accuracy of localization, based on weights of anchors. In this algorithm, fuzzy logic is used to determine the weights of anchors. Simulation results also show that the proposed algorithm improves localization accuracy with respect to DV-Hop algorithm and its variants.

Keywords

Sensor network Localization algorithms DV-Hop Fuzzy logic 

References

  1. 1.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)CrossRefGoogle Scholar
  2. 2.
    Giri, A., Dutta, S., Neogy, S., Dahal, K., Pervez, Z.: Internet of things (IoT): a survey on architecture, enabling technologies, applications and challenges. In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, pp. 7:1–7:12 (2017)Google Scholar
  3. 3.
    Patwari, N., Ash, J.N., Kyperountas, S., Hero, A.O., Moses, R.L., Correal, N.S.: Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Process. Mag. 22(4), 54–69 (2005)CrossRefGoogle Scholar
  4. 4.
    Shanshan, W., Jianping, Y., Zhiping, C., Guomin, Z.: A RSSI-based self-localization algorithm for wireless sensor networks. J. Comput. Res. Dev. 45(1), 385–388 (2008)Google Scholar
  5. 5.
    Niculescu, D., Nath, B.: Ad hoc positioning system (APS) using AOA. In: INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies, vol. 3, pp. 1734–1743 (2003)Google Scholar
  6. 6.
    Shang, Y., Ruml, W.: Improved MDS-based localization. IEEE Infocom 4, 2640–2651 (2004)Google Scholar
  7. 7.
    He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of the 9th annual international conference on Mobile computing and networking, pp. 81–95 (2003)Google Scholar
  8. 8.
    Niculescu, D., Nath, B.: Ad hoc positioning system (APS). In: Global Telecommunications Conference, 2001. GLOBECOM’01. IEEE, vol. 5, pp. 2926–2931 (2001)Google Scholar
  9. 9.
    Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 4(2), 103–111 (1996)CrossRefGoogle Scholar
  10. 10.
    Guadane, M., Bchimi, W., Samet, A., Affes, S.: Enhanced range-free localization in wireless sensor networks using a new weighted hop-size estimation technique. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–5 (2017)Google Scholar
  11. 11.
    Hadir, A., Zine-Dine, K., Bakhouya, M., El Kafi, J.: An optimized DV-hop localization algorithm using average hop weighted mean in WSNs. In: 2014 5th Workshop on Codes, Cryptography and Communication Systems (WCCCS), pp. 25–29 (2014)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Haldia Institute of TechnologyHaldiaIndia
  2. 2.National Institute of TechnologyJamshedpurIndia
  3. 3.Jadavpur UniversityKolkataIndia

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