Abstract: An adaptive strategy based stable link selection algorithm is proposed in this paper, in which the stable neighbor metric and local movement metric are defined. On the basis, by use of the weighting method and weighting coefficients of the two metrics that are acquired by the fuzzy membership function, the stability probability of each link can be computed adaptively so as to find the most stable link or route in a route discovery. The simulation results show that the algorithm can effectively adapt to the network conditions, and outperforms the longevity factor based algorithm and the residual lifetime based algorithm in selecting stable links.