Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Abstract—The highly stochastic nature of wireless environments makes it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inferen...
—Code updates, such as those for debugging purposes, are frequent and expensive in the early development stages of wireless sensor network applications. We propose AdapCode, a re...
I-Hong Hou, Yu-En Tsai, Tarek F. Abdelzaher, Indra...
In the next generation backbone networks, IP/MPLS over optical networks, the ability to maintain an acceptable level of reliability has become crucial since a failure can result in...