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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 11 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
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...
IROS
2007
IEEE
93views Robotics» more  IROS 2007»
13 years 11 months ago
Computational sensor networks
— 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...
SENSYS
2003
ACM
13 years 10 months ago
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
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...
ICDCSW
2008
IEEE
13 years 11 months ago
Mobility Control for Complete Coverage in Wireless Sensor Networks
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...
Zhen Jiang, Jie Wu, Robert Kline, Jennifer Krantz
ICRA
2007
IEEE
180views Robotics» more  ICRA 2007»
13 years 11 months ago
Mobile Sensor Networks Self Localization based on Multi-dimensional Scaling
— 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...
Changhua Wu, Weihua Sheng, Ying Zhang