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We present an asymptotically optimal solution for feedback based distributed adaptive transmit beamforming in wireless sensor networks. This solution utilizes feedback provided by a remote receiver in order to estimate optimum phase offsets of individual carrier signals. In a mathematical simulation we show that the global random search approach, which was applied in prior studies of this scenario, is outperformed by the proposed algorithm. Furthermore, we study the performance and feasibility of distributed adaptive transmit beamforming for two mobility models and derive the maximum possible velocities of nodes for both approaches.