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Data: 3-mag-2011
Autori: Toscano, Emanuele
Titolo: Industrial Wireless Sensor Networks: Research Challenges and Novel Solutions
Abstract: Industrial Wireless Sensor Networks have peculiarities that distinguish them from typical WSNs. A notable difference is that in industrial deployments real-time performance is by far more critical than energy efficiency. Moreover, industrial WSNs usually have to be integrated with wired industrial networks, because there are critical data flows that cannot be transmitted over the wireless medium. This thesis investigates novel network architectures, assessment techniques and communication protocols aimed at delivering real-time performance to power- and energy-constrained sensor nodes, even in large and dense deployments where nodes could not be directly covered by a sink. At first, a brief overview of the existing communication protocols for WSNs is given, followed by a discussion about the differences between classical and industrial WSNs and the main issues that research must address in the field of industrial WSNs. Then, different techniques and protocols working at different layers of the protocol stack are presented in order to deal with these research issues. In particular, the problem of robustness to interferences of IEEE 802.15.4 based communication is addressed by providing a methodology for experimental on-site assessments in industrial networks. The problem of scalability is addressed at the MAC layer, by introducing the support to multichannel superframe scheduling into the IEEE 802.15.4 protocol. The problem of highly increasing energy efficiency while introducing only a predictable delay is addressed by means of two topology management protocols which run between the MAC and the Routing layer. Finally, the problem of predictable end-to-end data delivery is addressed by providing a chain-based communication protocol, which not only supports integration with a wired industrial infrastructure, but also takes advantage of it to deliver real-time performance.
InArea 09 - Ingegneria industriale e dell'informazione

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