Sensor Design Using Simulation Tools

Article Menu

/ajax/scifeed/subscribe

Open Access Feature Paper Article

Simulation Tool for the Analysis of Cooperative Localization Algorithms for Wireless Sensor Networks

Department of Mechanical Engineering, University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain

Department of Computer Science and Numerical Analysis, University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain

Department of Communications and Networking, School of Electrical Engineering, Aalto University, FI-00076 Aalto, Finland

Author to whom correspondence should be addressed.

Received: 31 May 2019 / Revised: 21 June 2019 / Accepted: 26 June 2019 / Published: 27 June 2019

Abstract

Within the context of the Internet of Things (IoT) and the Location of Things (LoT) service, this paper presents an interactive tool to quantitatively analyze the performance of cooperative localization techniques for wireless sensor networks (WSNs). In these types of algorithms, nodes help each other determine their location based on some signal metrics such as time of arrival (TOA), received signal strength (RSS), or a fusion of them. The developed tool is intended to provide researchers and designers a fast way to measure the performance of localization algorithms considering specific network topologies. Using TOA or RSS models, the Crámer-Rao lower bound (CRLB) has been implemented within the tool. This lower bound can be used as a benchmark for testing a particular algorithm for specific channel characteristics and WSN topology, which allows determination if the necessary accuracy for a specific application is possible. Furthermore, the tool allows us to consider independent characteristics for each node in the WSN. This feature allows the avoidance of the typical "disk graph model," which is usually applied to test cooperative localization algorithms. The tool allows us to run Monte-Carlo simulations and generate statistical reports. A set of basic illustrative examples are described comparing the performance of different localization algorithms and showing the capabilities of the presented tool. View Full-Text

► ▼ Show Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

SciFeed

Share and Cite

MDPI and ACS Style

Ruz, M.L.; Garrido, J.; Jiménez, J.; Virrankoski, R.; Vázquez, F. Simulation Tool for the Analysis of Cooperative Localization Algorithms for Wireless Sensor Networks. Sensors 2019, 19, 2866. https://doi.org/10.3390/s19132866

AMA Style

Ruz ML, Garrido J, Jiménez J, Virrankoski R, Vázquez F. Simulation Tool for the Analysis of Cooperative Localization Algorithms for Wireless Sensor Networks. Sensors. 2019; 19(13):2866. https://doi.org/10.3390/s19132866

Chicago/Turabian Style

Ruz, Mario L., Juan Garrido, Jorge Jiménez, Reino Virrankoski, and Francisco Vázquez. 2019. "Simulation Tool for the Analysis of Cooperative Localization Algorithms for Wireless Sensor Networks" Sensors 19, no. 13: 2866. https://doi.org/10.3390/s19132866

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

For more information on the journal statistics, click here.

Multiple requests from the same IP address are counted as one view.

Article Access Map by Country/Region