Article citationsMore>>

Lee, W., Cho, S., Chu, P., Vu, H., Helal, S., Song, W., Jeong, Y.-S. and Cho, K. (2016) Automatic Agent Generation for IoT-Based Smarthouse Simulator. Neurocomputing, 209, 14-24.
https://doi.org/10.1016/j.neucom.2015.04.130

has been cited by the following article:

• TITLE: Presence Aware Power Saving Mode (PA-PSM) Enhancement for IoT Devices for Energy Conservation

  AUTHORS: Abdul Saleem, David Jazani, Hong Qing Yu

  KEYWORDS: Automation Controller, IoT, Energy Consumption, Arduino Uno R3

  JOURNAL NAME: Open Journal of Energy Efficiency, Vol.8 No.3, September 4, 2019

  ABSTRACT: The Internet of Things has brought a vision to turn the digital object into smart devices by adding an intelligence system and thereafter connecting them to the internet world. These smart devices accumulate environmental information with the help of sensors and act consequently without human intervention. The Internet of Thing is a rapidly growing industry with expected 50 - 200 billion smart devices to connect to the internet. Multi-billions of smart devices will produce a substantial amount of data to provide services to human society, although, it will lead to increase energy consumption at the highest level and drive to high energy bills. Moreover, the flood of IoT devices may also lead to energy scarcity. IoT is nowadays mainly focused on the IT industry and researchers believe the next wave of IoT may connect 1 trillion sensors by 2025. Even if these sensors would have 10 years of battery life, it will still require 275 million batteries to be replaced every day. Therefore, it is a necessity to reduce energy consumption in smart devices. “Presence Aware Power Saving Mode (PA-PSM) Enhancement for IoT Devices for Energy Conservation”, a proposed novel approach in this research paper by the help of a proposed algorithm in this research paper to reduce power consumption by individual devices within smart homes. In the proposed approach, a centralized automation controller keeps the less priority smart devices into deep sleep mode to save energy and experiments suggest the proposed system may help to reduce 25.81% of the energy consumed by smart devices within the smart home.