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Grid-Based Monte Carlo Localization for Mobile Wireless Sensor Networks

  • Qin TangEmail author
  • Jing Liang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

Localization is an important requirement for wireless sensor networks (WSNs), but the inclusion of GPS receivers in sensor network nodes is often too expensive. Therefore, many solutions focus on static networks and do not consider mobility. In this paper, we analyze the Monte Carlo location (MCL) algorithm and propose an improved method—grid-based MCL. It applies the mobility of nodes to reduce the sampling area and to build an internal grid to predict the behavior of nodes. We investigate the properties of our technology and analyze its performance. The simulation and analysis show that the proposed grid-based MCL not only reduces localization error, but also improves the sampling efficiency.

Keywords

WSNs Grid-based MCL Mobility 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (61671138, 61731006) and was partly supported by the 111 Project No. B17008.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

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