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SENSYS
2003
ACM
14 years 19 days 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...
JCIT
2010
172views more  JCIT 2010»
13 years 2 months ago
Conditional Sensor Deployment Using Evolutionary Algorithms
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
M. Sami Soliman, Guanzheng Tan
MOBIHOC
2009
ACM
14 years 8 months ago
Energy-efficient capture of stochastic events by global- and local-periodic network coverage
We consider a high density of sensors randomly placed in a geographical area for event monitoring. The monitoring regions of the sensors may have significant overlap, and a subset...
Shibo He, Jiming Chen, David K. Y. Yau, Huanyu Sha...
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 7 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
VTC
2010
IEEE
135views Communications» more  VTC 2010»
13 years 5 months ago
Biconnecting a Network of Mobile Robots Using Virtual Angular Forces
This paper proposes a new solution to the problem of self-deploying a network of wireless mobile robots with simultaneous consideration to several criteria, that are, the fault-tol...
Arnaud Casteigts, Jeremie Albert, Serge Chaumette,...