{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:45:01Z","timestamp":1776444301377,"version":"3.51.2"},"reference-count":50,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T00:00:00Z","timestamp":1667347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Universitas Mathla'ul Anwar Banten","award":["1600"],"award-info":[{"award-number":["1600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>Wireless sensor network is a network consisting of many sensor nodes that function to scan certain phenomena around it. WSN has quite a large problem in the form of delay and data loss which results in low WSN performance. This study aims to improve WSN performance by developing a cluster-based routing protocol. The cluster formation is carried out in several stages. The first is the formation of the cluster head which is the channel reference to be used by node members by means of probability calculations. The second determines the closest node using the Euclidean approach when looking for the closest member of the node to the cluster head. The third is determination of the node members by means of single linkage grouping by looking for proximity to CH. The performance of the proposed MCCH method is then tested and evaluated using QoS parameters. The results of this research evaluation use QoS parameters for testing the MCCH method, channel 1 throughput 508.165, channel 2 throughput 255.5661, channel 3 throughput 479.8289, channel 4 throughput 646.5618.<\/jats:p>","DOI":"10.3390\/jsan11040073","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T03:53:07Z","timestamp":1667447587000},"page":"73","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Improved Performance on Wireless Sensors Network Using Multi-Channel Clustering Hierarchy"],"prefix":"10.3390","volume":"11","author":[{"given":"Robby","family":"Rizky","sequence":"first","affiliation":[{"name":"Student of Doctoral Information Sistem, Diponegoro University, Semarang 45777, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Mustafid","sequence":"additional","affiliation":[{"name":"Doktor Information Sistem, Diponegoro University, Semarang 45777, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teddy","family":"Mantoro","sequence":"additional","affiliation":[{"name":"Media\u2014Tech Lab, Departement of Computer Science, Sampoerna University, Jakarta 12780, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.comcom.2022.02.001","article-title":"Group acknowledgement mechanism for beacon-enabled wireless sensor networks","volume":"187","author":"Santhameena","year":"2022","journal-title":"Comput. 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