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A WSAN typically connects sensors, actuators, and controllers in industrial facilities, such as steel mills, oil refineries, chemical plants, and infrastructures implementing complex monitoring and control processes. IEEE 802.15.4\u2013based WSANs operate at low power and can be manufactured inexpensively, which makes them ideal where battery lifetime and costs are important. Recent studies have shown that the selection of network parameters has a significant effect on network performance. However, the current practice of parameter selection is largely based on experience and rules of thumb involving a coarse-grained analysis of expected network load and dynamics or measurements during a few field trials, resulting in non-optimal decisions in many cases. In this work, we develop P-SAFE (Parameter Selection and Adaptation FramEwork), which optimally selects the network parameters based on the application quality-of-service demands and adapts the parameter configuration at runtime to consistently satisfy the dynamic requirements. We implement P-SAFE and evaluate it on three physical testbeds. Experimental results show that our solution can significantly better meet the application quality-of-service demand compared to the state of the art.<\/jats:p>","DOI":"10.1145\/3388240","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T11:53:33Z","timestamp":1593431613000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Parameter Self-Adaptation for Industrial Wireless Sensor-Actuator Networks"],"prefix":"10.1145","volume":"20","author":[{"given":"Junyang","family":"Shi","sequence":"first","affiliation":[{"name":"State University of New York at Binghamton, Binghamton, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mo","family":"Sha","sequence":"additional","affiliation":[{"name":"State University of New York at Binghamton, Binghamton, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,6,26]]},"reference":[{"volume-title":"Retrieved","year":"2012","author":"IEEE","key":"e_1_2_1_1_1"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2015.2476915"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1080829.1080836"},{"volume-title":"Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (IECON\u201913)","author":"Aminian Mikael Johansson B.","key":"e_1_2_1_4_1"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2240116.2240123"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.talanta.2008.05.019"},{"volume-title":"Proceedings of the International Conference on Information Processing (IPSN\u201911)","year":"2011","author":"Boano Carlo Alberto","key":"e_1_2_1_7_1"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1182807.1182838"},{"volume-title":"TrueTime: Simulation of Networked and Embedded Control Systems. 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