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We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchange state information. Since communication costs can be significant, we seek conditions under which communication of state information among nodes can be minimized while still ensuring that the optimization process converges. In prior...
The inherent properties of wireless sensor networks (WSN) disqualify most classic methods targeting timeliness guarantees. Assumptions of such methods as well as a restrictive notion of timeliness borrowed from classic real-time systems clash with the indeterminism of realistic scenarios. In this paper, we introduce a generalized notion of timeliness which allows to provide meaningful performance...
Traffic matrix has the benefit of offering an over view of the whole network and computes the desired OD flow volume efficiently compared to direct measurement. Former algorithms of traffic matrix estimation mainly focus on inference techniques but lack the update information at different time intervals. Link weight change method could reflect the dynamic updates thus becomes a future direction. The...
Signal processing methods for speech enhancement are of vital interest for many equipment. In particular, beamforming algorithms, which perform spatial filtering to separate signals that have overlapping frequency content but are originated from different spatial locations, are important for a wide range of applications. In this paper, a particular beamforming algorithm based on the signal-to-noise...
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