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Performance Evaluation of WSNs-Based Link Quality Estimation Metrics for Industrial Environments

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Book cover Advanced Technologies in Ad Hoc and Sensor Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 295))

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Abstract

Industrial wireless sensor network (WSN) is operating under severe conditions of electromagnetic interference (EMI) and multi-path interferences. Few existing simulation tools have dealt fairly with modeling EMI in industry site. Therefore, most of them are unable to meet the requirements of WSN simulation experiments. In this paper, the industrial environment is firstly categorized into different topographies, and the definition based upon the specific physical characteristics of the local surroundings is given to reflect both large-scale fading and multipath interference. The propagation model is well expressed by the one-slope path-loss model. The excellent agreement with a lognormal distribution is also obtained. Then the simulation environment is set up based on the on-site data in OPNET simulator. Finally, in order to obtain the best routing metric under different industrial environments, four commonly used link-quality metrics in WSNs: ETX, Hop Count, PRR and WMEWMA are investigated. The simulation results show that ETX is the most optimal routing metric on the overall performance. To the best of our knowledge, this paper is the first work to compare the performance between these link quality based metrics with networks of different qualities under different industrial conditions.

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Acknowledgments

The work is supported by National Natural Science Foundation of China (61170192), China-Canada joint research and development (R&D) projects and the Fundamental Research Funds for the Central Universities (2009DFA12100, No. XDJK2012C019).

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Correspondence to Li Li .

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Gao, G., Zhang, H., Li, L. (2014). Performance Evaluation of WSNs-Based Link Quality Estimation Metrics for Industrial Environments. In: Wang, X., Cui, L., Guo, Z. (eds) Advanced Technologies in Ad Hoc and Sensor Networks. Lecture Notes in Electrical Engineering, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54174-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-54174-2_7

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