Utlu, İhsanKozat, Süleyman Serdar2018-04-122018-04-122016http://hdl.handle.net/11693/37697Date of Conference: 16-19 May 2016Conference Name: IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016In this paper, we consider the problem of distributed estimation over adaptive networks with reduced load on communication resources. Novel diffusion strategies are presented that achieve up to three orders-of-magnitude reduction in the communication load on the network, while matching the state-of-the-art in performance. Specifically, the information transfer between the nodes of the network is conditioned on the level-crossings of the diffused parameter. We perform the mean stability analysis of the proposed algorithm, and provide numerical examples to verify the theoretical results.TurkishDistributed estimationEvent-triggered communicationLevel-crossing quantizationConference Paper10.1109/SIU.2016.7496080