Owing to their high accuracy and ease of formulation, there has been great interest in applying convex optimization techniques, particularly that of semidefinite programming (SDP)...
In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
We propose a hybrid model to alleviate the notorious problem of premature battery depletion in sensor networks: in a first stage, simple sensors are deployed over an area of inter...
Empirical studies on link blacklisting show that the delivery rate is very sensitive to the calibration of the blacklisting threshold. If the calibration is too restrictive (the th...
Flavio Fabbri, Marco Zuniga, Daniele Puccinelli, P...
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...