Mobile　security　is　one　of　the　most　fundamental　problems　in　Wireless　Sensor　Networks　(WSNs).　The　data　transmission　path　will　be　compromised　for　some　disabled　nodes.　To　construct　a　secure　and　reliable　network,　designing　an　adaptive　route　strategy　which　optimizes　energy　consumption　and　network　lifetime　of　the　aggregation　cost　is　of　great　importance.　In　this　paper,　we　address　the　reliable　data　aggregation　route　problem　for　WSNs.　Firstly,　to　ensure　nodes　work　properly,　we　propose　a　data　aggregation　route　algorithm　which　improves　the　energy　efficiency　in　the　WSN.　The　construction　process　achieved　through　discrete　particle　swarm　optimization　(DPSO)　saves　node　energy　costs.　Then,　to　balance　the　network　load　and　establish　a　reliable　network,　an　adaptive　route　algorithm　with　the　minimal　energy　and　the　maximum　lifetime　is　proposed.　Since　it　is　a　non-linear　constrained　multi-objective　optimization　problem,　in　this　paper　we　propose　a　DPSO　with　the　multi-objective　fitness　function　combined　with　the　phenotype　sharing　function　and　penalty　function　to　find　available　routes.　Experimental　results　show　that　compared　with　other　tree　routing　algorithms　our　algorithm　can　effectively　reduce　energy　consumption　and　trade　off　energy　consumption　and　network　lifetime.　©　2014　by　the　authors;　licensee　MDPI,　Basel,　Switzerland.