Green degree of the smart object in IoT and its measure method

Author

Yulong Deng

Author_Institution

Coll. of Comput., Nanjing Univ. of Posts & Telecommun., Nanjing, China

fYear

2012

fDate

3-6 Dec. 2012

Firstpage

811

Lastpage

814

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CloudCom.2012.6427559

Filename

6427559