This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Mobility is redefining the hardware and software fabric of distributed systems. Wireless communication allows network hosts to participate in a distributed computation while on t...
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
Hybrid systems have emerged as an appropriate formalism to model embedded systems as they capture the theme of continuous dynamics with discrete control. Under this paradigm, distr...
Madhukar Anand, Sebastian Fischmeister, Yerang Hur...