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Computational experiments are conducted to show the effect of RS deployments in different distribution scenarios. This article also shows the impact of placing RSs at optimal locations to serve given Mobile Stations (MSs) that are distributed arbitrarily in a given geographic region such that the cost is minimized, and the network coverage is maximized. The results obtained from the GSO algorithm are compared with k-means algorithm and it is observed that GSO performs better than k-means algorithm.<\/p>","DOI":"10.4018\/ijamc.2019070103","type":"journal-article","created":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T08:11:22Z","timestamp":1565165482000},"page":"39-67","source":"Crossref","is-referenced-by-count":0,"title":["Placement of Relay Stations in WiMAX Network Using Glowworm Swarm Optimization"],"prefix":"10.4018","volume":"10","author":[{"family":"Sangeetha J","sequence":"first","affiliation":[{"name":"M S Ramaiah Institute of Technology, Bengaluru, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1258-4758","authenticated-orcid":true,"given":"Keerthiraj","family":"Nagaraj","sequence":"additional","affiliation":[{"name":"University of Florida, Gainesville, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ram Prakash","family":"Rustagi","sequence":"additional","affiliation":[{"name":"Kammavari Sangha Institute of Technology, Bengaluru, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Balasubramanya Murthy K N","sequence":"additional","affiliation":[{"name":"PES University, Bengaluru, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJAMC.2019070103-0","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2010.5506112"},{"key":"IJAMC.2019070103-1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2009.5116805"},{"key":"IJAMC.2019070103-2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2010.100407"},{"issue":"1","key":"IJAMC.2019070103-3","article-title":"A Novel Clustering Algorithm using K-means (CUK).","volume":"25","author":"K. 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