Research Article
An adaptive ensemble localization approach for sensor nodes in WSN-IoT
@ARTICLE{10.4108/eai.13-7-2018.164100, author={Ravi Sharma and Shiva Prakash}, title={An adaptive ensemble localization approach for sensor nodes in WSN-IoT}, journal={EAI Endorsed Transactions on Energy Web}, volume={7}, number={29}, publisher={EAI}, journal_a={EW}, year={2020}, month={4}, keywords={WSN-IoT, Range Based, Beacon Node, Localization Accuracy, Convergence Rate, Location Error}, doi={10.4108/eai.13-7-2018.164100} }- Ravi Sharma
Shiva Prakash
Year: 2020
An adaptive ensemble localization approach for sensor nodes in WSN-IoT
EW
EAI
DOI: 10.4108/eai.13-7-2018.164100
Abstract
Localization is an essential module for most protocols and applications in Wireless Sensor Networks - Internet of Things (WSN-IoT). Among the well-known approaches available for WSN-IoT localization, the algorithm requires at least one, two, or three beacon nodes-based localization approaches. Many other localization protocols use a small set of beacon nodes for the localization of sensor nodes. However, still, the authors are not able to provide an accurate and reliable approach in the field of WSN-IoT. Thus, this work provides an adaptive ensemble localization approach in WSN-IoT. The proposed approach adaptively uses the concept of available single, two, and three beacons nodes-based localization approaches according to the number of available beacon nodes. By comparing available single, two, or three beacons nodes-based localization approaches the simulation results of the proposed work outperformed in terms of fast convergence rate, less erroneous and higher accuracy with reducing the line of sight problem.
Copyright © 2020 Ravi Sharma et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.