An adaptive ensemble localization approach for sensor nodes in WSN-IoT

Sharma, Ravi and Prakash, Shiva (2020) An adaptive ensemble localization approach for sensor nodes in WSN-IoT. EAI Endorsed Transactions on Energy Web, 7 (29): e5. ISSN 2032-944X

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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.

Item Type: Article
Uncontrolled Keywords: WSN-IoT, Range Based, Beacon Node, Localization Accuracy, Convergence Rate, Location Error
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 16 Sep 2020 13:57
Last Modified: 16 Sep 2020 13:57
URI: https://eprints.eudl.eu/id/eprint/373

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