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» Probabilistic Self-Localization for Sensor Networks
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IS
2007
13 years 7 months ago
Evaluation of probabilistic queries over imprecise data in constantly-evolving environments
Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a database system, and a...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
AINA
2007
IEEE
14 years 2 months ago
Efficient Hybrid Channel Access for Data Intensive Sensor Networks
In this paper, we introduce novel probabilistic transmission protocols for data intensive wireless sensor networks. The protocols combine a randomized transmission scheme with sch...
Chih-Kuang Lin, Vladimir Zadorozhny, Prashant Kris...
ALGOSENSORS
2008
Springer
13 years 9 months ago
Algorithms for Location Estimation Based on RSSI Sampling
In this paper, we re-examine the RSSI measurement model for location estimation and provide the first detailed formulation of the probability distribution of the position of a sens...
Charalampos Papamanthou, Franco P. Preparata, Robe...
VLDB
2005
ACM
110views Database» more  VLDB 2005»
14 years 1 months ago
U-DBMS: A Database System for Managing Constantly-Evolving Data
In many systems, sensors are used to acquire information from external environments such as temperature, pressure and locations. Due to continuous changes in these values, and lim...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet