On link quality aware routing for industrial wireless sensor networks

Silva, Bruno; Hancke, Gerhard P.

doi:10.1109/icit.2013.6505868

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…In process automation the plant can be too large for the MMW radio to fully cover the area. Thus we have to rely on multi-hop networks, and most likely even deploy router nodes, since the distance between sensor/actuator nodes may be too high (more than 20-30 meters) [17,18]. The available bandwidth on the other hand, should open new possibilities for advanced closed loop control.…”

Section: Ghz Mmw Communication Systems In Factorymentioning

confidence: 98%

Communication infrastructures in industrial automation: The case of 60 GHz millimeterWave communications

Athanasiou

Weeraddana

Fischione

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Wireless sensor networks for industrial automation applications must offer timely, reliable, and energy efficient communications at both low and high data rate. While traditional communication technologies between 2.4 GHz and 5 GHz are sometimes incapable to efficiently achieve the aforementioned goals, new communication strategies are emerging, such as millimeterWave communications. In this overview paper, the general requirements that factory and process automation impose on the network design are reviewed. Moreover, this paper presents and qualitatively evaluates the 60 GHz millimeterWave communication technology for automation. It is argued that the upcoming 60 GHz millimeterWave technology brings an enormous potential and can influence the design of the future communication infrastructures in factory and process automation.

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Section: Ghz Mmw Communication Systems In Factorymentioning

confidence: 98%

Communication infrastructures in industrial automation: The case of 60 GHz millimeterWave communications

Athanasiou

Weeraddana

Fischione

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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“…There are a number of monitoring applications which can benefit from sensor nodes deployed underground, such as underground pipeline monitoring and precision agriculture, where buried nodes communicate wirelessly through soil with sinks located aboveground. From an industrial perspective, since WSNs enable monitoring in various environments, it is of interest to determine the link characteristics for environments such as factories [9]- [11], and also to investigate efficient ways to integrate WSNs and Internet of Things into existing industrial network infrastructure [12]- [15]. Reliable data delivery, in particular, is a major concern in industrial settings [16].…”

Section: Introductionmentioning

confidence: 99%

Experimental Link Quality Characterization of Wireless Sensor Networks for Underground Monitoring

Silva

Fisher

Kumar

et al. 2015

IEEE Trans. Ind. Inf.

124

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Abstract-Wireless underground sensor networks (WUSNs) are a category of wireless sensor networks (WSNs) with buried nodes, which communicate wirelessly through soil with sensor nodes located aboveground. As the communication medium (i.e., soil) between traditional over-the-air WSNs and WUSNs differs, communication characteristics have to be fully characterized for WUSNs, specifically to enable development of efficient communication protocols. Characterization of link quality is a fundamental building block for various communication protocols. The aim of this paper is to experimentally investigate the link quality characteristics of the three communication channels available in WUSNs for underground pipeline monitoring to gain further insight into protocol development for WUSNs. To this end, received signal strength (RSS), link quality indicator (LQI), and packet reception ratio (PRR) are characterized for the three communication channels in WUSNs. The RSS and PRR results show that the underground-to-underground channel is highly symmetric and temporally stable, but its range is severely limited, and that the aboveground-to-underground/undergroundto-underground channels are asymmetric and exhibit similar temporal properties to over-the-air communication channels. Interestingly, the results show that RSS is a better indicator of PRR than LQI for all three channels under consideration.

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