Experimental Characterization of Wireless Sensor Networks for Industrial Applications

2008 ◽  
Vol 57 (8) ◽  
pp. 1537-1546 ◽  
Author(s):  
M. Bertocco ◽  
G. Gamba ◽  
A. Sona ◽  
S. Vitturi
2009 ◽  
Vol 40 (9) ◽  
pp. 1322-1336 ◽  
Author(s):  
Alessandra Flammini ◽  
Paolo Ferrari ◽  
Daniele Marioli ◽  
Emiliano Sisinni ◽  
Andrea Taroni

Sensors ◽  
2012 ◽  
Vol 12 (1) ◽  
pp. 806-838 ◽  
Author(s):  
Ivanovitch Silva ◽  
Luiz Affonso Guedes ◽  
Paulo Portugal ◽  
Francisco Vasques

2018 ◽  
Vol 10 (8) ◽  
pp. 2628
Author(s):  
Heekwon Yang ◽  
Byeol Kim ◽  
Joosung Lee ◽  
Yonghan Ahn ◽  
Chankil Lee

The communication technology ZigBee has been widely adopted in wireless sensor networks (WSNs) for a wide range of industrial applications. However, although ZigBee provides low-power, low-cost mesh networking, it cannot guarantee steady and predictable network performance as channels are time-variant and highly attenuated by man-made obstacles. The networks also suffer from interference, especially in the important 2.4 GHz industrial, scientific, and medical (ISM) band. These degraded channel characteristics increase the number of hops, thus increasing both the packet error rate and transmission delays. In this paper, we report the deployment of a ZigBee-based WSN inside an existing building duct system utilized for intelligent waste collection in an industrial environment. The Received Signal Strength (RSS) and path losses were measured, revealing that the duct communication channel acts as a very effective waveguide, providing a more reliable and consistent network performance than conventional free space channels.


2008 ◽  
Vol 09 (03) ◽  
pp. 231-254
Author(s):  
VALANCE PHUA ◽  
AMITAVA DATTA

Existing TDMA-based MAC protocols for wireless sensor networks are not specifically built to consider communication channels that are prone to fading. We describe the impact of periodically changing environment on small-scale fading effects in industrial indoor wireless networks. Using a site-specific ray tracer, we show that the position of nodes and the periodic movements of objects with constant velocities in the environment have significant impact on signal fading. Finding that fading is approximately periodic, we propose a TDMA-based MAC protocol for wireless sensor networks built for industrial applications that uses link state dependent scheduling. In our approach, nodes gather samples of the channel quality and generate prediction sets from the sample sets in independent slots. Using the prediction sets, nodes only wake up to transmit/receive during scheduled slots that are predicted to be clear and sleep during scheduled slots that may potentially cause a transmitted signal to fade. We simulate our proposed protocol and compare its performance with the well published Z-MAC protocol. We found that our protocol significantly improves packet throughput and energy consumption as compared to Z-MAC. We also found that in conditions which are not perfect under our assumptions, the performance of our protocol degrades gracefully.


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