Wireless　Sensors　Network　(WSNs)　comprised　of　significant　numbers　of　miniatures　and　reasonable　sensor　nodes　which　sense　data　from　environment　that　require　multi-hop　and　direct　communication　to　send　aggregated　data　towards　the　base　station　through　cluster-head-node　supported　by　appropriated　routing　scheme.　The　random　choice　of　cluster-head-node　(CHN)　in　WSNs　is　based　on　node　residing　energy.　The　node　residing　energy　and　network　sustainability　are　the　hot　challenges　in　WSNs　routing.　There　are　many　deficiencies　in　LEACH-RP　(Routing　Protocol)　due　to　the　rapid　energy　consumption　of　ordinary　and　cluster-head-nodes　because　of　direct　communication　towards　the　base　station.　The　quick　draining　of　node　energy　creates　large　number　of　the　black　holes　in　the　network　core　causing　data　redundancy,　re-transmission　of　data　packet,　route　update　cost　and　E2E　delay.　The　LEACH-RP　faces　the　issues　of　data　redundancy　caused　by　a　single　sensor　node　in　a　short　time　and　adjacent　sensor　nodes　at　the　same　time.　In　the　proposed　approach,　the　mean　method　and　the　minimum　distance　(MD)　method　based　on　LEACH-RP　is　implemented　to　solve　the　issues　of　data　redundancy.　A　data　fusion　algorithm　(DF)　based　on　Cyclic　Neural　Networks(CNN)　is　implemented　on　LEACH　RP.　The　simulation　results　indicate　that　the　mean　method　&　minimum　distance　method　can　effectively　resolve　the　issues　of　data　redundancy　caused　by　a　single　sensor　node　in　a　short　time　and　the　data　fusion　algorithm　of　the　CNN　can　effectively　solve　the　problem　of　data　redundancy　generated　by　adjacent　sensor　nodes　at　the　same　time.