{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:10:56Z","timestamp":1760242256033,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,3,10]],"date-time":"2017-03-10T00:00:00Z","timestamp":1489104000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Foundation of Jiangxi Educational Committee","award":["GJJ160626","GJJ150695"],"award-info":[{"award-number":["GJJ160626","GJJ150695"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>In this paper, we jointly consider the inhomogeneity and spatial dimension in large scale wireless networks. We study the effects of topology on the throughput capacity. This problem is inherently dif\ufb01cult since it is complex to handle the interference caused by simultaneous transmission. To solve this problem, we, according to the inhomogeneity of topology, divide the transmission into intra-cluster transmission and inter-cluster transmission. For the intra-cluster transmission, a spheroidal percolation model is constructed. The spheroidal percolation model guarantees a constant rate when a power control strategy is adopted. We also propose a cube percolation mode for the inter-cluster transmission. Different from the spheroidal percolation model, a constant transmission rate can be achieved without power control. For both transmissions, we propose a routing scheme with \ufb01ve phases. By comparing the achievable rate of each phase, we get the rate bottleneck, which is the throughput capacity of the network.<\/jats:p>","DOI":"10.3390\/info8010032","type":"journal-article","created":{"date-parts":[[2017,3,10]],"date-time":"2017-03-10T09:39:55Z","timestamp":1489138795000},"page":"32","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["The Effects of Topology on Throughput Capacity of Large Scale Wireless Networks"],"prefix":"10.3390","volume":"8","author":[{"given":"Qiuming","family":"Liu","sequence":"first","affiliation":[{"name":"School of Software Engineering, Jiangxi University of Science and Technology, 1180 Shuanggang Road, Nanchang 330013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuejing","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Meteorology, Jiangxi Vocational and Technical College of Information Application, 58 Qixiang Road, Nanchang 330043, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohong","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Jiangxi University of Science and Technology, 1180 Shuanggang Road, Nanchang 330013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,3,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1109\/18.825799","article-title":"The capacity of wireless networks","volume":"46","author":"Gupta","year":"2000","journal-title":"IEEE Trans. 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