Effects of multiple collaborated data streams in wireless sensor networks
Article No.: 88, Pages 1 - 4
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.
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- Effects of multiple collaborated data streams in wireless sensor networks
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Association for Computing Machinery
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Published: 19 March 2009
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