Wireless Sensor Networks(WSNs) consist a set of sensor nodes whose primary task is to sense and relay the data to sink. Sensor nodes are powered by a battery, and most of the energy is consumed for the relay of the data. The closer the nodes are from the sink, the more the data will be relayed, and the faster the energy will be consumed, which results in energy-hole problem. The introduction of a mobile sink for collecting the data from the nodes can avoid the energy-hole problem. Particle Swarm Optimization-based Rendezvous Point Selection(PSO-RPS) is proposed, which considers the data delivery delay and traffic rate constraints of sensor nodes for rendezvous point selection, and finds an optimal number of rendezvous points by particle swarm optimization. On this basis, the delay-ef?cient trajectory of mobile sink for data collection is built. Simulation results show that the proposed PSO-RPS algorithm can effectively control the path length and reduce the time delay of data collection.