Wireless　sensor　networks　(WSNs)　have　found　extensive　applications　across　various　fields,　significantly　enhancing　the　convenience　in　our　daily　lives.　Hence,　an　in-creasing　number　of　researchers　are　directing　their　attention　toward　the　performance　of　sensor　nodes,　with　a　particular　emphasis　on　addressing　the　coverage　challenges　in　WSNs.　Node　coverage　plays　a　crucial　role　in　determining　the　detection　performance　of　WSNs,　making　it　imperative　to　attain　maximum　coverage　with　a　given　number　of　sensor　nodes.　This　paper　applies　the　Tumbleweed　Algorithm　(TA)　to　the　coverage　problem　in　WSNs　and　validates　its　effectiveness　through　simulation　experiments.　The　results　demonstrate　its　unique　advantages　in　global　search　and　avoiding　local　optima,　providing　a　new　solution　for　the　WSN　coverage　problem　and　offering　valuable　references　for　future　research　and　practical　applications.　The　TA　algorithm　simulates　the　lifecycle　of　tumbleweed　from　seedling　to　mature　plant　and　includes　the　concept　of　growth　cycles.　This　paper　compares　the　TA　algorithm　with　PSO,　GWO,　DE,　BOA,　SCA,　and　AOA,　setting　different　numbers　of　wireless　sensor　nodes　and　varying　sensing　radii　for　the　experiments.　The　experimental　results　show　that　the　TA　algorithm　significantly　improves　coverage　rates　under　various　configurations　and　consistently　outperforms　other　commonly　used　algorithms.　©　2025,　Taiwan　Ubiquitous　Information　CO　LTD.　All　rights　reserved.