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» Learning from sensor network data
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147
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IJACTAICIT
2010
237views more  IJACTAICIT 2010»
14 years 12 months ago
Path Planning of Mobile Robot Based on Modification of Vector Field Histogram using Neuro-Fuzzy Algorithm
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neu...
Ali H. Hamad, Fatima B. Ibrahim
135
Voted
INFOCOM
2006
IEEE
15 years 8 months ago
LEDS: Providing Location-Aware End-to-End Data Security in Wireless Sensor Networks
Abstract— Providing end-to-end data security, i.e., data confidentiality, authenticity, and availability, in wireless sensor networks (WSNs) is a non-trivial task. In addition t...
Kui Ren, Wenjing Lou, Yanchao Zhang
187
Voted
TMC
2012
13 years 5 months ago
Fast Data Collection in Tree-Based Wireless Sensor Networks
—We investigate the following fundamental question—how fast can information be collected from a wireless sensor network organized as tree? To address this, we explore and evalu...
Özlem Durmaz Incel, Amitabha Ghosh, Bhaskar K...
SECON
2008
IEEE
15 years 9 months ago
Enhancing the Data Collection Rate of Tree-Based Aggregation in Wireless Sensor Networks
— What is the fastest rate at which we can collect a stream of aggregated data from a set of wireless sensors organized as a tree? We explore a hierarchy of techniques using real...
Özlem Durmaz Incel, Bhaskar Krishnamachari
109
Voted
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 9 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor