Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Sensor networks are meant for sensing and disseminating information about the environment they sense. The criticality of a sensed phenomenon determines it’s importance to the en...
Many sensor network applications require that each node’s sensor stream be annotated with its physical location in some common coordinate system. Manual measurement and configu...
Nissanka B. Priyantha, Hari Balakrishnan, Erik D. ...
Wireless sensor networks consist of a large number of tiny sensors that have only limited energy supply. One of the major challenges in constructing such networks is to maintain l...
We analyze limited wavelength translation in all-optical, wavelength division multiplexed (WDM) wraparound mesh networks, where upto W wavelengths, each of which can carry one circ...