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ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 5 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
MOBISYS
2004
ACM
16 years 5 months ago
Implementing Software on Resource-Constrained Mobile Sensors: Experiences with Impala and ZebraNet
ZebraNet is a mobile, wireless sensor network in which nodes move throughout an environment working to gather and process information about their surroundings [10]. As in many sen...
Ting Liu, Christopher M. Sadler, Pei Zhang, Margar...
IPPS
2008
IEEE
16 years 15 days ago
Mobility control schemes with quick convergence in wireless sensor networks
In the near future, wireless sensor networks (WSN) performing sensing and communication tasks will be widely deployed as technology rapidly advances. Communication is one of the e...
Xiao Chen, Zhen Jiang, Jie Wu
SEUS
2008
IEEE
16 years 14 days ago
M-Geocast: Robust and Energy-Efficient Geometric Routing for Mobile Sensor Networks
In this paper we investigate a practical routing solution for a new class of wireless sensor networks where any node can be mobile anytime. Assuming GPS-enabled sensor nodes we pro...
Lynn Choi, Jae Kyun Jung, Byong-Ha Cho, Hyohyun Ch...
COMSWARE
2007
IEEE
16 years 13 days ago
ExPLoIT: Exploiting Past Location Information and Transitivity for positioning in mobile sensor networks
— We present a novel distributed range-free technique called ExPLoIT for estimating geographical location of sensor nodes in mobile sensor networks. ExPLoIT is the rst positioning...
Christophe Baraer, Kaustubh S. Phanse, Johan Nykvi...