This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
P. S. Chandrashekhar Thejaswi, Junshan Zhang, Man-...
-- This paper presents an artificial ant-colony approach to distributed sensor wakeup control in wireless sensor networks (WSN) to accomplish the joint task of surveillance and tar...
Yan Liang, Jiannong Cao, Lei Zhang 0006, Rui Wang,...
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
In this paper, we propose a new design strategy based on the minimum mean-squared error (MMSE) in closedloop non-regenerative multiple-input multiple-output (MIMO) relaying system...