A Study on Localization in Wireless Sensor Network Using Neural Network

Authors

  • K. Madhumathi Assistant Professor, Department of Bachelor of Computer Applications, Anna Adarsh College for Women, Chennai, Tamil Nadu, India
  • T. Suresh Assistant Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.S1.1806

Keywords:

Wireless Sensor Network, Localization, Localization Algorithms, Neural Networks

Abstract

Wireless Sensor Network consists of large number of autonomous, small, low cost sensor nodes that are spatially distributed in areas of investigation like disaster management, Military, environmental monitoring etc. The main purpose of using those nodes is to collect information from source and process it in destination. But the data received in the destination are useless unless the exact location of source is not known. The task of finding physical coordinates of these sensor nodes in WSNs area is known as localization. One solution for the above problem is manual configuration of sensor but it is unfeasible if the area of deployment is large or inaccessible. Therefore, we use localization techniques which help to capture the location of nodes in wireless sensor network. This study analyses localization algorithms with their pros and cons.

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Published

28-10-2018

How to Cite

Madhumathi, K. ., & Suresh, T. . (2018). A Study on Localization in Wireless Sensor Network Using Neural Network. Asian Journal of Computer Science and Technology, 7(S1), 50–53. https://doi.org/10.51983/ajcst-2018.7.S1.1806