I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments

• Published in: Computers in industry Vol. 65; no. 1; pp. 187 - 199
• Main Authors: Giménez, Pablo, Molina, Benjamín, Calvo-Gallego, Jaime, Esteve, Manuel, Palau, Carlos E.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 01.01.2014; Elsevier; Elsevier Sequoia S.A
• Subjects: Applied sciences; Computer architecture; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Exact sciences and technology; General equipment and techniques; Indoor environments; Industrial environments; Industrial safety; Instruments, apparatus, components and techniques common to several branches of physics and astronomy; Intelligent systems; Physics; Radiocommunications; Real time; Sensor Observation Service (SOS); Sensor Web Enablement (SWE); Sensors; Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing; Software; Studies; Telecommunications; Telecommunications and information theory; Wireless networks; Wireless Sensor Networks (WSNs); Wireless Sensor Networks (WSNs); Sensor Web Enablement (SWE); Industrial safety; Sensor Observation Service (SOS); Indoor environments; Industrial environments; Scalability; Modular system; Measurement sensor; Outdoor installation; Real time; Intelligent sensors; Indoor installation; World wide web; Wireless network; Internet; Safety; Sensor array; Service oriented; Viability
• ISSN: 0166-3615; 1872-6194
• DOI: 10.1016/j.compind.2013.09.002

Sensor Web Enablement (SWE) technologies have been successfully applied to a great variety of outdoor scenarios but, in practical terms, little effort has been applied for indoor environments, and even less in the field of industrial applications. This article presents an intelligent SWE application for an indoor and industrial scenario, with the aim of improving and increasing the levels of human safety. The base low-level architecture is built on top of wireless sensor networks (WSN) connected to a Sensor Observation Service (SOS). Higher layers in the architecture include services that make real time decisions based on the collected data. Both simulation and experimental results are presented. The paper shows the viability of our approach in terms of performance, scalability, modularity and safety.