Optimum Sensing Technique and Approach for Low Power Consumption Network

This paper presents a technique to integrate energy efficient ubiquitous sensors to work in a network for optimum control. This optimization technique can reduce power consumption by using wireless communicating sensors with a supervisor control. This supervisory control of the sensors gives it an a...

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Bibliographic Details
Main Authors: Jabbar, H., Taewan Kim, Jin-Suk Kang, Jangho Lee, Hyosik Yang, Meeyoung Sung, Gyunleen Park, Taikyeong Jeong
Format: Conference Proceeding
Language:English
Subjects:
Computer networks
Energy consumption
Intelligent sensors
Pervasive computing
Robot sensing systems
Sensor systems
Supervisory control
Telecommunication computing
Temperature sensors
Wireless sensor networks
Online Access:Request full text
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Summary:This paper presents a technique to integrate energy efficient ubiquitous sensors to work in a network for optimum control. This optimization technique can reduce power consumption by using wireless communicating sensors with a supervisor control. This supervisory control of the sensors gives it an advantage of being controllable from any embedded, desktop or Internet platform. Sensors for different purposes can work together to form a network which can be implemented in many environment like homes, city, hospitals and remote locations like mountains, forests etc. We employed an optimized sensing system and algorithm which reduced the number of sensors and power consumption.
DOI:10.1109/SERA.2007.103