Introducing mobile sink in wireless sensor networks（ WSNs） can avoid network congestion and energy hole and reduce energy consumption of network

but it lead to large delay because of limitation of moving speed.Aiming at this problem

path optimization strategy of mobile sink under delay constrains is proposed. Adjustable node weight is designed according to relationship between delay and energy consumption of network. The optimal node weight is obtained through simulated annealing genetic algorithm. The sink nodes and the optimal moving path are acquired through iteration procedure based on the optimal node weight. Simulation results show that the strategy can reduce energy consumption network and have fast convergence under the premise of meeting delay constrains.