To　improve　the　node　energy　utilization　and　extend　the　lifetime　of　the　network,　a　clustering　node　sleep　scheduling　algorithm　with　particle　swarm　optimization　(CNSS-PSO)　in　wireless　sensor　networks　(WSNs)　is　presented　by　combining　clustering　algorithm　and　sleep　scheduling　algorithm.　In　CNSS-PSO,　the　binary　encoding　mechanism　is　used　and　mutation　and　crossover　operators　of　the　genetic　algorithm　are　introduced.　The　maintenance　of　network　coverage　and　the　optimization　goals　of　the　reduction　of　energy　consumption　are　taken　into　account,　and　a　corresponding　discrete　particle　swarm　optimization　method　is　constructed.　Simulation　results　show　that　CNSS-PSO　improves　the　effectiveness　of　the　network　energy　consumption　and　it　has　better　performance　on　the　network　coverage　maintenance　with　effectively　extending　the　lifetime　of　the　network.