Energy-Efficient Task Offloading in Edge Computing with Energy Harvesting
Sonali Deshpande, Nilima Kulkarni · 2023
The number of devices is growing quickly because of the Internet of Things (IoT) and cloud computing concepts. Mobile edge computing (MEC) has come up and attracted extensive recognition. These devices are power inhibited and bound with processing capability. The number of tasks performed on the device requires lots of energy and computing capabilities. In some cases, these devices are forbidden from executing high power supply-demanded application and application which requires large amounts of data processing. For both cloud servers and mobile devices, energy efficiency has become one of the most pressing challenges. To address this issue related to power and computational capability different techniques are overviewed like edge hardware design, storage devices for energy, edge computing architecture, and operating system which are based on energy-aware concept. In order to enable constant energy monitoring, flexible placement, less human interference, and simple maintenance, it is crucial to provide a sustainable and autonomous power supply. Extensive research has been done in recent years to create energy-autonomous systems for the IoT using energy-harvesting (EH) technology as a workable and economically viable replacement for batteries. A brief description of possible energy harvesting systems is provided in the proposed chapter. Possible power densities and approaches for reducing edge device power consumption are outlined. So that energy harvesting solutions will be sufficient to meet the power requirements. The current work aimed to see how to increase energy efficiency for mobile devices in energy harvesting systems with Device to device offloading capabilities, this chapter provides a comprehensive review of information on offloading strategies and protocols which gives an idea about the current work in the area.