Feed Forward Neural Network-Based Sensor Node Localization in Internet of Things

  • Ajay Kumar
  • V. K. Jain
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 710)


Internet of Things and wireless sensor networks have attracted worldwide researchers because of their various applications in different fields. Specifically, in IoT, knowledge of location is a very critical issue which deals with identifying the position of deployed node in the sensor network. It is extremely advantageous to propose scalable, cost efficient, and proficient localization procedure for IoT. This paper provides a sensor positioning algorithm named centroid algorithm which is a range-free position identifying scheme. The centroid of the polygon is used to compute the coordinates of estimate position to get better node location precision and further neural networks such as feed forward have been implemented to improve the accuracy. A comparison of centroid algorithm and feed forward neural network-based localization has been done and found that the neural network promises better results for higher localization accuracy.


Centroid algorithm Global positioning system Neural networks Internet of Things Wireless sensor networks 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of CSECollege of Engineering and Technology, Mody University of Science and TechnologyLakshmangarhIndia

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