Paper Info
Title
Effects of multiple collaborated data streams in wireless sensor networks
Abstract
Wireless sensor networks, in our paper, MICAz radio boards with sensors attached to them. Allow us to collect many information around us. When multiple collaborated input streams present, understanding the data with correct data fusion algorithms is important. In this paper, we will present the influences of the thresholds on data from wireless sensors. The hardware used in our project is the Berkeley mote MPR2400 and the MTS310 sensor board. The MIB600 is used as the Ethernet gateway interface for the motes. The MTS310 sensor is used successfully in the project to collect data from passing vehicles. The main topic of this project was to implement a form of machine learning by having the back end computer predict with high confidence that there is a vehicle present. The program MoteView is very efficient in configuring and surveying the motes in real time. This paper is an attempt to demonstrate the abilities of the current wireless sensor network technology.
Year
DOI
Venue
2009
10.1145/1566445.1566560
ACM Southeast Regional Conference 2005
Keywords
Field
DocType
vehicle present,berkeley mote,correct data fusion algorithm,wireless sensor network,ethernet gateway interface,current wireless,sensor network technology,wireless sensor,mts310 sensor board,data stream,mts310 sensor,sensor,fault tolerance,real time,fault tolerant,networks,algorithms,data fusion,machine learning
Sensor node,Fixed wireless,Wireless network,Key distribution in wireless sensor networks,Computer science,Visual sensor network,Computer network,Real-time computing,Wi-Fi array,Mobile wireless sensor network,Wireless sensor network
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Li Liu1405.28
Xiaoyan Hong21665163.41
Jingyuan Zhang365360.53