{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:24:31Z","timestamp":1760243071588,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2015,9,18]],"date-time":"2015-09-18T00:00:00Z","timestamp":1442534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s150924125","type":"journal-article","created":{"date-parts":[[2015,9,21]],"date-time":"2015-09-21T02:25:40Z","timestamp":1442802340000},"page":"24125-24142","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks"],"prefix":"10.3390","volume":"15","author":[{"given":"Vicente","family":"D\u00edaz","sequence":"first","affiliation":[{"name":"Centro de Investigaci\u00f3n en Tecnolog\u00edas Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Universidad Polit\u00e9cnica de Madrid, Calle Alan Turing 3, 28031 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9-Fern\u00e1n","family":"Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n en Tecnolog\u00edas Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Universidad Polit\u00e9cnica de Madrid, Calle Alan Turing 3, 28031 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N\u00e9stor","family":"Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n en Tecnolog\u00edas Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Universidad Polit\u00e9cnica de Madrid, Calle Alan Turing 3, 28031 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9809-636X","authenticated-orcid":false,"given":"Ra\u00fal","family":"Del Toro","sequence":"additional","affiliation":[{"name":"Centro de Autom\u00e1tica y Rob\u00f3tica, Universidad Polit\u00e9cnica de Madrid, Carretera Campo Real Km. 0.2, 28500 Arganda del Rey, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,9,18]]},"reference":[{"key":"ref_1","unstructured":"Petersen, S., and Aakvaag, N. Wireless Instrumentation for Safety Critical Systems. Available online: http:\/\/www.sintef.no\/globalassets\/project\/pds\/reports\/sintef-a26762-wireless-instrumentation-for-safety-critical-systems.-technology-standards-solutions-and-future-trends.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1007\/978-3-319-09147-1_58","article-title":"Wireless Sensor Networks in Next Generation Communication Infrastructure: Vision and Challenges","volume":"Volume 8582","author":"Murgante","year":"2014","journal-title":"Computational Science and Its Applications\u2014ICCSA 2014"},{"key":"ref_3","unstructured":"National Institute of Standards and Technology (2013). Foundations for Innovation in Cyber-Physical Systems, Energetics Incorporated. Technical Report."},{"key":"ref_4","unstructured":"Lee, E.A., and Seshia, S.A. Introduction to Embedded Systems: A Cyber-Physical Systems Approach. Available online: http:\/\/leeseshia.org\/releases\/LeeSeshia_DigitalV2_ 0.pdf."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Zhou, G., He, T., Krishnamurthy, S., and Stankovic, J.A. (2004, January 6\u20139). Impact of Radio Irregularity on Wireless Sensor Networks. Proceedings of The 2nd International Conference on Mobile Systems, Applications, and Services (MobiSys \u201904), Boston, MA, USA.","DOI":"10.1145\/990064.990081"},{"key":"ref_6","unstructured":"Kotian, R., Exarchakos, G., and Liotta, A. (October, January 29). Assessment of proactive transmission power control for wireless sensor networks. Proceedings of the 9th International Conference on Body Area Networks, London, UK."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.comnet.2014.12.016","article-title":"Reliability in wireless sensor networks: A survey and challenges ahead","volume":"79","author":"Mahmood","year":"2015","journal-title":"Comput. Netw."},{"key":"ref_8","unstructured":"Kusy, B., Richter, C., Hu, W., Afanasyev, M., Jurdak, R., Brunig, M., Abbott, D., Huynh, C., and Ostry, D. (2011, January 12\u201314). Radio diversity for reliable communication in WSNs. Proceedings of the 2011 10th International Conference on Information Processing in Sensor Networks (IPSN), Chicago, IL, USA."},{"key":"ref_9","first-page":"54","article-title":"Connectivity control in WSN based on fuzzy logic control","volume":"Volume 11","author":"Huang","year":"2014","journal-title":"ACM SIGBED Review\u2014Special Issue on the 6th Workshop on Adaptive and Reconfigurable"},{"key":"ref_10","unstructured":"Sun SPOT World-Home. Available online: http:\/\/sunspotdev.org\/."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1007\/978-3-642-02161-9_3","article-title":"Engineering Self-Adaptive Systems through Feedback Loops","volume":"Volume 5525","author":"Cheng","year":"2009","journal-title":"Software Engineering for Self-Adaptive Systems"},{"key":"ref_12","first-page":"1","article-title":"Localized and energy-efficient topology control in wireless sensor networks using fuzzy-logic control approaches","volume":"2014","author":"Huang","year":"2014","journal-title":"Math. Probl. Eng."},{"key":"ref_13","unstructured":"IBM, An Architectural Blueprint for Autonomic Computing. Available online: http:\/\/www-03.ibm.com\/autonomic\/pdfs\/AC Blueprint White Paper V7.pdf."},{"key":"ref_14","unstructured":"The DEMANES Consortium ARTEMIS JU-GA: 269334. D4.3: Specification and Software Detail Description of Reference Embedded Software. Available online: http:\/\/www.demanes.eu\/sites\/default\/files\/DEMANES_D4.3_02_00_20140114.pdf."},{"key":"ref_15","unstructured":"G-Node. Available online: https:\/\/www.sownet.nl\/index.php\/products\/gnode\/."},{"key":"ref_16","unstructured":"Waspmote\u2014Wireless Sensor Network 802.15.4 ZigBee 6LoWPAN 3G\/GPRS Bluetooth Low Energy Open Source Sensor Device | Libelium. Available online: http:\/\/www.libelium.com\/products\/waspmote\/."},{"key":"ref_17","unstructured":"Intel \u00aeGalileo Gen 2 Development Board. Available online: http:\/\/www.intel.com\/content\/www\/us\/en\/embedded\/products\/galileo\/galileo-overview.html."},{"key":"ref_18","unstructured":"Raspberry Pi\u2014Teach, Learn, and Make with Raspberry Pi. Available online: https:\/\/www.raspberrypi.org\/."},{"key":"ref_19","unstructured":"Xia, F., Vinel, A., Gao, R., Wang, L., and Qiu, T. (2013). Evaluating IEEE 802.15.4 for cyber-physical systems."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/15\/9\/24125\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:48:50Z","timestamp":1760215730000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/15\/9\/24125"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,18]]},"references-count":19,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2015,9]]}},"alternative-id":["s150924125"],"URL":"https:\/\/doi.org\/10.3390\/s150924125","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2015,9,18]]}}}