Wireless　sensor　networks　(WSNs)　have　referred　to　many　fields　involving　target　tracking　systems,　however,　energy　efficiency　issues　always　suffer　bottleneck.　In　the　literature,　mobility　collector　is　utilised　to　prolong　the　network　lifetime,　meanwhile,　data　collection　strategies　are　investigated　through　combining　contributed　data　and　transmitted　distances.　For　contributed　data,　the　quantisation　technology　plays　an　important　role　for　energy　efficiency.　Considering　the　uncertainty　of　sensing　data　from　nodes,　we　proposed　distributed　algorithm　to　select　cluster　members　to　gather　data　with　mathematical　analysis.　We　formulate　an　optimisation　for　target　tracking　to　maximise　utilisation　of　data　quality　by　information　matrix.　As　a　result,　we　proposed　rendezvous-based　data　collection　(RDC)　algorithm　which　not　only　integrates　above　positive　factors　to　track　a　target　but　also　maintains　WSNs＇　functions.　Furthermore,　we　analyze　two　stages　for　data　collection　in　WSNs.　Simulations　verify　that　the　proposed　schemes　achieve　energy　saving　and　energy　balance　for　target　tracking.