Leveraging sensor data content to assure sensor device trustworthiness in Mobile Edge Computing
- Resource Type
- Conference
- Authors
- Yoon, John
- Source
- 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Fog and Mobile Edge Computing (FMEC), 2017 Second International Conference on. :147-152 May, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Mobile communication
Edge computing
Monitoring
Data analysis
Microcontrollers
Protocols
Security
Data Approximation
Integrity of Sensor Data
Trustworthiness of Sensor Devices
Tolerance and Trigger Zones
- Language
One of the challenging characteristics of Fog and Mobile Edge Computing (FMEC) is the trustworthiness among the wireless sensor nodes. In FMEC, sensors participate in data analytics by collaborating with each other. Sensors are communicating as far as they are paired each other or the radio pipe addresses are matched. Once paired, microcontrollers units (MCUs) are allowed to transmit sensor data to a FMEC computing device. The trustworthiness of incoming sensor data is very significant to sensor data analytics. The sensor data trustworthiness determines the quality of the sensor data analytics and the accuracy of FMEC computing. However, the current techniques do not assure satisfactorily the trustworthiness of the sensors in part because MCUs are unexpectedly joining in and disappearing from FMEC computing. This paper proposes a new data approximation approach to train sensors, and to trigger for reputation and trustworthiness about sensor data. The contribution of this approach includes a sensor data content-driven trustworthiness assurance about participating sensor devices.