Abstract
Location information of nodes is one of the basis for many applications in Wireless Sensor Networks (WSNs). In this paper, based on the implementation of the original DV-Hop localization algorithm and two variations: DV-Hop with Correction (CDV-Hop) and Improved DV-Hop (IDV-Hop), we investigate the impact of Irregular Radio and Faulty Nodes on the performance of localization. This study designs a new system model by considering Irregular Radio and random Faulty Nodes. With this new model, extensive experiments are used to conduct the investigation. From the simulation results, it is observed that both Irregular Radio and Faulty Nodes adversely affect the localization accuracy. By this investigation, the obtained conclusion can be used to direct localization algorithm design under a more realistic scenario and providing better parameter configuration for a given WSN.
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Notes
- 1.
NetTopo (online at http://sourceforge.net/projects/nettopo/) is an open source software for simulating and visualizing WSNs.
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Acknowledgments
This work is supported by Guangdong University of Petrochemical Technology through Internal Project 2012RC106, the National Natural Science Foundation of China Grant 61401107, and the International and Hong Kong, Macao & Taiwan collaborative innovation platform and major international cooperation projects of colleges in Guangdong Province (No. 2015KGJHZ026). It is also in part supported by the program for New Century Excellent Talents in University under Grant NCET-13-0940, the Natural Science Foundation of Hubei Province under Grant 2014CFB791, and the Research Plan Project of Hubei Provincial Department of Education under Grant T201206.
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Ran, X., Shu, L., Mukherjee, M., Wu, Y., Chen, Y., Sun, Z. (2018). Impact of Irregular Radio and Faulty Nodes on Localization in Industrial WSNs. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_5
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