A5049211438- IoT and Edge/Fog Computing
- Smart Grid Energy Management
- UAV Applications and Optimization
- Green IT and Sustainability
- Electric and Hybrid Vehicle Technologies
- Power Line Communications and Noise
- Opportunistic and Delay-Tolerant Networks
- Water Quality Monitoring Technologies
- IoT Networks and Protocols
- Distributed Control Multi-Agent Systems
- Cloud Computing and Resource Management
- Energy Efficiency and Management
- Electric Vehicles and Infrastructure
- Energy, Environment, and Transportation Policies
- Smart Grid Security and Resilience
- Advanced Battery Technologies Research
- Advanced Neural Network Applications
Oklahoma State University
2017-2022
Australian National University
2016
Mobile edge computing (MEC) is an emerging technology to support resource-intensive yet delay-sensitive applications using small cloud-computing platforms deployed at the mobile network edges. However, existing MEC techniques are not applicable situation where number of users increases explosively or facilities sparely distributed. In view this insufficiency, unmanned aerial vehicles (UAVs) have been employed improve connectivity ground Internet Things (IoT) devices due their high altitude....
Abstract Industrial Internet of Things (IIoT) is performed based on the multiple sourced data collection, communication, management and analysis from industrial environment. The can be generated at every point in manufacturing production process by real-time monitoring, connection interaction field through various sensing devices, which creates a big environment for industry. To collect, transfer, store analyse such efficiently economically, several challenges have imposed to conventional...
Energy efficient lamps offer significant energy savings throughout their life. However, there is a variety of saving available and it unclear which impacts the environment least lifecycle under different use patterns. Different patterns have impact on lifetime each light globe alternative therefore affect life cycle globe. This paper undertakes series Life Cycle Assessments two lighting choices (Light Emitting Diodes Compact Florescent Lamps) range conditions. It was found that environmental...
In this paper, we study how datacenter energy cost can be effectively reduced in the wholesale electricity market via cooperative power procurement. Intuitively, by aggregating workloads across a group of datacenters, overall demand uncertainty datacenters reduced, resulting less chance being penalized when participating market. We use game theory to model procurement process as game, and show saving benefits aggregation. Then, allocation scheme based on marginal contribution each total...
UAV-enabled mobile edge computing (MEC) is a emerging technology to support resource-intensive yet delay-sensitive applications with clouds (ECs) deployed in the proximity users and UAVs served as base stations air. The formulated optimization problems therein are highly nonconvex thus difficult solve. To tackle nonconvexity, successive convex approximation (SCA) technique has been widely used solve for by transforming objective functions constraints into suitable surrogates. However,...
In this paper, we study how datacenter energy cost can be effectively reduced in the wholesale electricity market via cooperative power procurement. Intuitively, by aggregating workloads and renewables across a group of datacenters, overall demand uncertainty datacenters reduced, resulting less chance being penalized when participating market. We use game theory to model procurement process as game, show saving benefits aggregation. Then, allocation scheme based on marginal contribution each...