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MOBISYS
2004
ACM
14 years 8 months ago
Tracking Moving Devices with the Cricket Location System
We study the problem of tracking a moving device under two indoor location architectures: an active mobile architecture and a passive mobile architecture. In the former, the infra...
Adam Smith, Hari Balakrishnan, Michel Goraczko, Ni...
INFOCOM
2011
IEEE
13 years 3 days ago
QoF: Towards comprehensive path quality measurement in wireless sensor networks
Abstract—Due to its large scale and constrained communication radius, a wireless sensor network mostly relies on multi-hop transmissions to deliver a data packet along a sequence...
Jiliang Wang, Yunhao Liu, Mo Li, Wei Dong, Yuan He
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
13 years 7 months ago
Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study
— Data collection using Autonomous Underwater Vehicles (AUVs) is increasing in importance within the oceanographic research community. Contrary to traditional moored or static pl...
Ryan N. Smith, Arvind Pereira, Yi Chao, Peggy Li, ...
RTCSA
2008
IEEE
14 years 3 months ago
Real-Time Communications Over Cluster-Tree Sensor Networks with Mobile Sink Behaviour
· Modelling the fundamental performance limits of Wireless Sensor Networks (WSNs) is of paramount importance to understand the behaviour of WSN under worst-case conditions and to...
Petr Jurcík, Ricardo Severino, Anis Koubaa,...
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 8 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