Trust based energy efficient data collection with unmanned aerial vehicle in edge network

2020 ◽  
Author(s):  
Bo Jiang ◽  
Guosheng Huang ◽  
Tian Wang ◽  
Jinsong Gui ◽  
Xiaoyu Zhu
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicle ◽  
Energy Efficient ◽  
Edge Network ◽  
Efficient Data ◽  
Aerial Vehicle ◽  
Efficient Data Collection

scholarly journals Energy-Efficient Data Collection Scheme for Environmental Quality Management in Buildings

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 57324-57333 ◽  
Author(s):  
Siguang Chen ◽  
Jiasheng Zhou ◽  
Xiaoyao Zheng ◽  
Xiukai Ruan
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Environmental Quality ◽  
Energy Efficient ◽  
Efficient Data ◽  
Efficient Data Collection

Energy Efficient Data Collection in Large-Scale Internet of Things via Computation Offloading

2019 ◽  
Vol 6 (3) ◽  
pp. 4176-4187 ◽  
Author(s):  
Guorui Li ◽  
Jingsha He ◽  
Sancheng Peng ◽  
Weijia Jia ◽  
Cong Wang ◽  
...  
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Large Scale ◽  
Computation Offloading ◽  
Efficient Data ◽  
Efficient Data Collection

scholarly journals Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges

2020 ◽  
Vol 9 (2) ◽  
pp. 21 ◽  
Author(s):  
Martins O. Osifeko ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Energy Efficient ◽  
State Of The Art ◽  
Future Internet ◽  
Future Research ◽  
Research Directions ◽  
Efficient Data ◽  
Future Research Directions ◽  
Efficient Data Collection

Smart, secure and energy-efficient data collection (DC) processes are key to the realization of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges in this domain have motivated research efforts towards providing cognitive solutions for IoT usage. One such solution, termed cognitive sensing (CS) describes the use of smart sensors to intelligently perceive inputs from the environment. Further, CS has been proposed for use in FIoT in order to facilitate smart, secure and energy-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different FIoT applications. We present some state-of-the-art approaches, potentials, and challenges of AI techniques for the identified solutions. This survey contributes to a better understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research directions in this regard.

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