WirelessHART Routing Analysis Software

Winter, Juliana da Silva; Lima, Carolina; Müller, Ivan; Pereira, Carlos Eduardo; Netto, Joao C.

doi:10.1109/sbesc.2011.21

Cited by 18 publications

(6 citation statements)

References 7 publications

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“…As an analysis tool, we used a software for developing WH devices (Winter 2011). This software is able to obtain information related to the behavior of the WH network and the status of all the devices.…”

Section: Performance Analysis Of the Rf Transceiver Without Antenna Dmentioning

confidence: 99%

Antenna Diversity to Increase Reliability in Industrials Wireless Sensors Networks

Araújo

Netto

Salles

et al. 2020

J Control Autom Electr Syst

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Industrial WSNs are gradually gaining space in industry due to low cost of installation and maintenance. However, RF communications systems are prone to several propagation phenomena which can compromise reliability in terms of missed message deadlines. This work aims to increase the robustness of industrial WSN. In order to achieve this goal, it is necessary to correct inherent problems in wireless communications, some of which are channel noise, interference, and multipath fading. Multipath can be considered the main factor that makes communications in wireless sensor networks a real challenge when compared to other types of mediums, such as optical fiber, cable, or even directional radio transmissions. In this sense, antenna diversity is proposed as a solution to deal with these effects, with the aim of improving radio reliability to make the use of dense industrial WSN feasible. The potential of antenna diversity in WSN is not fully exploited in industrial applications. This article presents the combination of selection technique for industrial WSN through an algorithm that selects the transceiver port that has the highest link quality indicator and performs antenna switching in the radio modules. The results obtained are analyzed to verify the diversity gain by using antenna spatial diversity at reception and thus reduce packet error rate. The results corroborate with theory by increasing radio reliability in terms of diversity gain, quadrupling the received signal power when the correct antenna is chosen.

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Section: Performance Analysis Of the Rf Transceiver Without Antenna Dmentioning

confidence: 99%

Antenna Diversity to Increase Reliability in Industrials Wireless Sensors Networks

Araújo

Netto

Salles

et al. 2020

J Control Autom Electr Syst

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“…Stage 3 represents a worst case setting where only channels 16,17,18,19, and 20 are available for WH networking, while similarly as for stage 2 the IEEE 802.15.4 interference signal is configured to occupy channel 18. In this case, the observed packet losses are 35% while latency is 1.540 seconds.…”

Section: Wirelesshart Under Ieee 802154 Interferencementioning

confidence: 99%

Wireless Coexistence and Spectrum Sensing in Industrial Internet of Things: An Experimental Study

Winter

Müller

Soatti

et al. 2015

International Journal of Distributed Sensor Networks

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The adoption of dense wireless sensor networks in industrial plants is mandatorily paired with the development of methods and tools for connectivity prediction. These are needed to certify the quality (or reliability) of the network information flow in industrial scenarios which are typically characterized by harsh propagation conditions. Connectivity prediction must account for the possible coexistence of heterogeneous radio-access technologies, as part of the Industrial Internet of Things (IIoT) paradigm, and easily allow postlayout validation steps. The goal of this paper is to provide a practical evaluation of relevant coexistence problems that may occur between industrial networks employing standards such as WirelessHART IEC 62591, IEEE 802.15.4, and IEEE 802.11. A number of coexistence scenarios are experimentally tested using different radio platforms. For each case, experimental results are analyzed to assess tolerable interference levels and sensitivity thresholds for different configurations of channel overlapping. Finally, the problem of over-the-air spectrum sensing is investigated in real scenarios with heterogeneous industrial networks to enable a cognitive resource allocation that avoids intolerable interference conditions.

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“…If a collision occurs in one of the transmissions, there is another possibility, in a different scheduled link. In a second analysis the burst time of a particular device is tested for different time requirements, and through a software developed in previous work [11], the distribution of the links from our target device were obtained and monitored. It is possible to observe the NM efforts to allow sufficient opportunity for the device to be able to fit the deadline specified in the application.…”

Section: B Wirelesshart Spectrum Analysismentioning

confidence: 99%