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The existing congestion control methods, FTLP and FEWPBRC consider the frequency of packet transmission and decide on the output transmission rate of the sink. In the Fuzzy-Based QoS Alert Bottleneck Mechanism, the probability of congestion is predicted by using a fuzzy inference system with three special congestion indicators, and the traffic rate is adjusted based on the priority of the real-time and non-real-time applications. The FBQACC is simulated using the NS2 simulator and it gives an improvement in the average throughput FTLP and FEWPBRC by 7.1499% and 6.3327%, respectively. Similarly, FBQACC reduces average delay compared to FTLP and FEWPBRC by 11.074% and 7.8128%, respectively. The proposed work also gives a minimized average packet loss percentage compared to the existing congestion control methods. <\/jats:p>","DOI":"10.1142\/s0218126622501985","type":"journal-article","created":{"date-parts":[[2022,4,17]],"date-time":"2022-04-17T15:43:31Z","timestamp":1650210211000},"source":"Crossref","is-referenced-by-count":24,"title":["Wireless Multimedia Sensor Network QoS Bottleneck Alert Mechanism Based on Fuzzy Logic"],"prefix":"10.1142","volume":"31","author":[{"given":"Achyut","family":"Shankar","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8726-4495","authenticated-orcid":false,"given":"K.","family":"Sumathi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, KSR Institute for Engineering and Technology, Tiruchencode, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Pandiaraja","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, M. 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