The　quality　of　data　in　wireless　sensor　networks　has　a　significant　impact　on　decision　support,　and　data　cleaning　is　an　effective　way　to　improve　data　quality.　However,　if　the　data　cleaning　strategies　are　not　correctly　designed,　it　might　result　in　an　unsatisfactory　cleaning　effect　with　increased　system　cleaning　costs.　Initially,　data　quality　evaluation　indicators　and　their　measurement　methods　in　wireless　sensor　networks　were　introduced.　We　then　explored　the　impact　of　relationship　between　different　indicators　which　are　used　in　the　quality　assessment.　Finally,　data　cleaning　strategy　for　wireless　sensor　networks　based　on　the　relationship　between　data　quality　indicators　was　proposed　by　comparing　and　analyzing　data　cleaning　schemes　with　different　orders.　The　experimental　results　showed　that　the　proposed　data　cleaning　strategy　can　effectively　improve　data　availability　and　have　a　better　cleaning　effect　in　wireless　sensor　networks　for　the　same　cleaning　cost.