Lightweight error correction technique in industrial IEEE802.15.4 networks

Abstract

Industrial Wireless Sensor Networks (IWSNs) are nowadays becoming more and more popular thanks to their flexibility and pervasive monitoring capabilities to support process automation and remote maintenance applications. In such a scenario, channel errors due to the wireless medium can result in data packet losses, and consequently in unreliable IWSN services. To mitigate the above reported problem, this paper presents a lightweight error correction scheme specially developed for IEEE802.15.4-based IWSNs. By adding error correction and detection information inside the IEEE802.15.4 MAC data frame, the proposed FEC scheme is able to guarantee a backward compatibility with the standard while providing advanced capabilities in recovering data packets affected by bit errors. In the paper the benefits of the proposed technique are first evaluated through simulated loss traces, then they are validated in a real environment by considering real loss traces collected in an electricity power plant. The proposed error correction scheme is able to recover around 50% of the data packets that would be lost in case of a standard communication without any error correction capability

Multi-criteria decision methods to support the maintenance management of complex systems

“…The use of sensors refers to the predictive maintenance policy which, according to Raza and Ulansky (2017), represents the most promising strategy for technical systems and production lines and can be applied whenever a deteriorating physical parameter such as vibration, pressure, voltage, or current can be quantitatively measured. Civerchia et al (2017) focus on the industrial internet of things (IIoT) and present an advanced monitoring solution based on sensors, designed to support advanced predictive maintenance applications. The results emphasise the potential of wireless sensor devices to monitor equipment status and highlight the usefulness of advanced and pervasive predictive maintenance to contain costs and avoid dangerous situations.…”