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Sensors 2015, 15(9), 24125-24142;

Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks

Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Universidad Politécnica de Madrid, Calle Alan Turing 3, 28031 Madrid, Spain
Centro de Automática y Robótica, Universidad Politécnica de Madrid, Carretera Campo Real Km. 0.2, 28500 Arganda del Rey, Spain
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Received: 30 June 2015 / Revised: 31 August 2015 / Accepted: 14 September 2015 / Published: 18 September 2015
(This article belongs to the Special Issue Cyber-Physical Systems)
Full-Text   |   PDF [2003 KB, uploaded 18 September 2015]   |  


The solutions to cope with new challenges that societies have to face nowadays involve providing smarter daily systems. To achieve this, technology has to evolve and leverage physical systems automatic interactions, with less human intervention. Technological paradigms like Internet of Things (IoT) and Cyber-Physical Systems (CPS) are providing reference models, architectures, approaches and tools that are to support cross-domain solutions. Thus, CPS based solutions will be applied in different application domains like e-Health, Smart Grid, Smart Transportation and so on, to assure the expected response from a complex system that relies on the smooth interaction and cooperation of diverse networked physical systems. The Wireless Sensors Networks (WSN) are a well-known wireless technology that are part of large CPS. The WSN aims at monitoring a physical system, object, (e.g., the environmental condition of a cargo container), and relaying data to the targeted processing element. The WSN communication reliability, as well as a restrained energy consumption, are expected features in a WSN. This paper shows the results obtained in a real WSN deployment, based on SunSPOT nodes, which carries out a fuzzy based control strategy to improve energy consumption while keeping communication reliability and computational resources usage among boundaries. View Full-Text
Keywords: wireless sensors networks; fuzzy logic; self-adaptive; cyber-physical systems wireless sensors networks; fuzzy logic; self-adaptive; cyber-physical systems

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Díaz, V.H.; Martínez, J.-F.; Martínez, N.L.; del Toro, R.M. Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks. Sensors 2015, 15, 24125-24142.

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