Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
— We propose Computational Sensor Networks as a methodology to exploit models of physical phenomena in order to better understand the structure of the sensor network. To do so, i...
Thomas C. Henderson, Christopher A. Sikorski, Edwa...
Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
In this paper, we propose a new control method to cover the “holes” in wireless sensor networks. Many applications often face the problem of holes when some sensor nodes are d...
— In this paper, we define a mobile self-localization (MSL) problem for sparse mobile sensor networks, and propose an algorithm named Mobility Assisted MDS-MAP(P), based on Mult...