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» Approximately uniform random sampling in sensor networks
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INFOCOM
2007
IEEE
14 years 1 months ago
Randomized k-Coverage Algorithms For Dense Sensor Networks
— We propose new algorithms to achieve k-coverage in dense sensor networks. In such networks, covering sensor locations approximates covering the whole area. However, it has been...
Mohamed Hefeeda, M. Bagheri
ECAI
2004
Springer
14 years 24 days ago
Generating Random Bayesian Networks with Constraints on Induced Width
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
Jaime Shinsuke Ide, Fabio Gagliardi Cozman, Fabio ...
IPSN
2004
Springer
14 years 23 days ago
How to distribute sensors in a random field?
In this paper, we study the optimal way of distributing sensors in a random field to minimize the estimation distortion. We show that this problem is equivalent to certain proble...
Xin Zhang, Stephen B. Wicker
INFOCOM
2006
IEEE
14 years 1 months ago
Is Deterministic Deployment Worse than Random Deployment for Wireless Sensor Networks?
— Before a sensor network is deployed, it is important to determine how many sensors are required to achieve a certain coverage degree. The number of sensor required for maintain...
Honghai Zhang, Jennifer C. Hou
SAC
2010
ACM
14 years 2 months ago
A wavelet-based sampling algorithm for wireless sensor networks applications
This work proposes and evaluates a sampling algorithm based on wavelet transforms with Coiflets basis to reduce the data sensed in wireless sensor networks applications. The Coi...
André L. L. de Aquino, Ricardo A. R. Olivei...