Title :
Green degree of the smart object in IoT and its measure method
Author_Institution :
Coll. of Comput., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
The attention over Green IT keeps rising. In this paper, an attempt to build a measure method for evaluating environment impact of IoT is made. First, the green degree of the smart object in IoT is defined and studied as a fuzzy problem. Then the measure of medium truth degree (MMTD) based on the medium mathematics (MM) is used to build the two dimensional quantification mapping of the smart object on its green features, including the power efficiency and the electromagnetic pollution index. Next, the distance ratio mean function is given as a measure method to the green degree of the smart object. Finally, an example is given to show how to measure the green degree of a smart object in a tiny IoT.
Keywords :
Internet of Things; fuzzy set theory; green computing; pollution; IOT; MM; MMTD; distance ratio mean function; electromagnetic pollution index; environment impact evaluation; fuzzy problem; green IT; green degree of smart object; green features; measure method; measure of medium truth degree; medium mathematics; power efficiency; two-dimensional quantification mapping; Electromagnetics; Green products; Mathematics; Pollution; Pollution measurement; Power demand; Power measurement; Electromagnetic Pollution; Green Degree; Green IT; IoT; Medium Mathematics; Power Efficiency; Smart Object;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4511-8
Electronic_ISBN :
978-1-4673-4509-5
DOI :
10.1109/CloudCom.2012.6427559
