Entropy theory of distributed energy for internet of things

By Zhong Lin Wang. Nano Energy, 2019

404 citations recorded by the source corpus.

Abstract Entropy was first introduced in thermodynamics for describing the statistical behavior of molecules. In this paper, we use the entropy theory to describe the distribution and powering of small electronics in the era of internet of things. We refer the power transmitted from power plants to utility units as “ordered” energy for fixed sites, while refer the energy harvested from environment as “random” energy. Our conclusion is that the “ordered” energy is able to solve part of the power need for distributed electronics for IoTs, but the remaining part has to be supplied by the “random” energy harvested from our living environment using resources such as solar, vibration, motion and even thermal. The entropy idea defines the role played by energy harvesting as it will become increasingly important owing to the ever expanding usage of distributed electronics at the time of intelligence.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/9966ba4b3394f1aae0105f36817efdf2437c5ca8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Long Liu
  2. Xinge Guo
  3. Chengkuo Lee
  4. Zhong Lin Wang
  5. Qiongfeng Shi
  6. Tao Jiang
  7. Jie An
  8. Xi Liang

In Electrical and Electronic Engineering

  1. Xinge Guo
  2. Chengkuo Lee
  3. Long Liu
  4. Tao Jiang
  5. Jie An
  6. Qiongfeng Shi
  7. Yawei Feng
  8. Xi Liang

In Mechanical Engineering

  1. Long Liu
  2. Xinge Guo
  3. Chengkuo Lee
  4. Zhong Lin Wang
  5. Qiongfeng Shi
  6. Tao Jiang
  7. Jie An
  8. Xi Liang

Citations in the corpus