Location
https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php
Event Website
In this research project majorly we concentrated on the role of energy consumption in edge deveces. We discussed about challenges, energy efficient methods and case study on IoT devices.
Document Type
Event
Start Date
26-4-2021 5:00 PM
Description
The Internet of Things (IoT) has been the key for many advancements in next-generation technologies for the past few years. With a conceptual grouping of ecosystem elements such as sensors, actuators, and smart objects connected to perform complex operations to perform environmental monitoring, intelligent transport system, smart building, smart cities, and endless other possibilities. Edge computing helps the IoT’s reach even further and be more robust by connecting multiple censored devices through the internet and forming powerful computational capabilities. Unfortunately, this computation level comes at a cost as the devices are constantly being used to communicate and perform specific actions. Energy efficiency has focused on finding the optimal way to utilize the latest technologies while retaining the battery power’s longevity. In this paper, we present an outline of the difficulties engaged with planning energy-efficient IoT edge devices and depict recent research that has proposed promising answers that address these challenges. First, we analyze the challenges that IoT devices bring in terms of energy consumption. Next, we discuss the different approaches such as computation offloading, modifying the IoT devices’ designs, and the number of algorithms that help reduce energy consumption and few latest technologies. Finally, we will look at the case study that outlines the energy-saving techniques in smart grids, smart cities, electric vehicles, smart home devices, and VR/AR in real time to apply the concepts proposed.Advisors(s): Dr. Kun SuoTopic(s): IoT/Cloud/Networking
Included in
GR-38 Energy Cost and Efficiency on Edge Computing: Challenges and Vision
https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php
The Internet of Things (IoT) has been the key for many advancements in next-generation technologies for the past few years. With a conceptual grouping of ecosystem elements such as sensors, actuators, and smart objects connected to perform complex operations to perform environmental monitoring, intelligent transport system, smart building, smart cities, and endless other possibilities. Edge computing helps the IoT’s reach even further and be more robust by connecting multiple censored devices through the internet and forming powerful computational capabilities. Unfortunately, this computation level comes at a cost as the devices are constantly being used to communicate and perform specific actions. Energy efficiency has focused on finding the optimal way to utilize the latest technologies while retaining the battery power’s longevity. In this paper, we present an outline of the difficulties engaged with planning energy-efficient IoT edge devices and depict recent research that has proposed promising answers that address these challenges. First, we analyze the challenges that IoT devices bring in terms of energy consumption. Next, we discuss the different approaches such as computation offloading, modifying the IoT devices’ designs, and the number of algorithms that help reduce energy consumption and few latest technologies. Finally, we will look at the case study that outlines the energy-saving techniques in smart grids, smart cities, electric vehicles, smart home devices, and VR/AR in real time to apply the concepts proposed.Advisors(s): Dr. Kun SuoTopic(s): IoT/Cloud/Networking
https://digitalcommons.kennesaw.edu/cday/spring/graduateresearch/6