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IJCAI
2003
15 years 3 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...
MOBIHOC
2008
ACM
16 years 1 months ago
Self-monitoring for sensor networks
Local monitoring is an effective mechanism for the security of wireless sensor networks (WSNs). Existing schemes assume the existence of sufficient number of active nodes to carry...
Dezun Dong, Yunhao Liu, Xiangke Liao
OPODIS
2010
14 years 12 months ago
Self-stabilizing (k, r)-Clustering in Wireless Ad-hoc Networks with Multiple Paths
Abstract. Wireless Ad-hoc networks are distributed systems that often reside in error-prone environments. Self-stabilization lets the system recover autonomously from an arbitrary ...
Andreas Larsson, Philippas Tsigas
IPSN
2010
Springer
15 years 8 months ago
Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture
Motion capture using wireless inertial measurement units (IMUs) has many advantages over other techniques. Achieving accurate tracking with IMUs presents a processing challenge, e...
A. D. Young, M. J. Ling, D. K. Arvind
MOBIHOC
2012
ACM
13 years 4 months ago
EV-Loc: integrating electronic and visual signals for accurate localization
Nowadays, an increasing number of objects can be represented by their wireless electronic identifiers. For example, people can be recognized by their phone numbers or their phone...
Boying Zhang, Jin Teng, Junda Zhu, Xinfeng Li, Don...