Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
—There has been recent interest within the networking research community to understand how performance scales in cognitive networks with overlapping n primary nodes and m seconda...
In this paper, we analyze asymptotic delay-throughput performance of mobile ad-hoc networks comprising heterogeneous nodes with restricted mobility. In particular, we consider a s...
—We propose a distributed scheduling and active queue management mechanism for wireless ad hoc networks. The approach is based on a random access scheduler where the transmission...
In this paper, we propose a butterfly-graph based stream authentication scheme for lossy networks where the streaming packets could be lost in both random and burst ways. Due to t...