In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that ...
The problem of distributed multiuser medium access of a hierarchical cognitive radio network with multiple primary and secondary users is considered. Each primary user has a licen...
Simultaneous support of multiple video streaming sessions over a shared wireless network requires careful resource allocation to achieve high utilization while dynamically adaptin...
Abstract—In the existing works on distributed detection in sensor networks, local sensor nodes either quantize the observation or directly scale the analog observation and then t...