IJMLC 2015 Vol.5(6): 458-461 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2015.5.6.552

Secure Localization Approach in Wireless Sensor Network

Sayyed Majid Mazinani and Mosayeb Safari

Abstract—Wireless sensor networks have consisted of more than thousands nodes, which have been jointed together for achieving some specific reasons. The sensor information send to a base station named sink and supply with AC power. In most cases, the place of nodes is important for the network performance because of this reason we are using locating. Locating is one of techniques that have been used in wireless networks. Security and accuracy are the bases of locating applications. Practical wireless networks are faced with destructive interference, which have considerable effects on locating performance. In this article, a great and benign locating plane is introduced in order to reduce the effect of enemy attacks in wireless networks. The proposed method is consisting of two steps. In first step, the correctness investigation has been designed on the base of making a table with valid nodes in the base station. In second step, the mean square of Taylor series is used for estimation the sensor node places. The results of simulation verified the performance gain of our proposed scheme.

Index Terms—Wireless sensor networks, robust locating, min square.

Sayyed Majid Mazinani is with Electrical Department of Imam Reza International University, Mashhasd, Iran (e-mail: smajidmazinani@hotmail.com).
Mosayeb Safari is with Imam Reza International University, Mashhasd, Iran (e-mail: mosayeb_safari@yahoo.com).

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Cite: Sayyed Majid Mazinani and Mosayeb Safari, "Secure Localization Approach in Wireless Sensor Network," International Journal of Machine Learning and Computing vol.5, no. 6, pp. 458-461, 2015.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net