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Smart city article details
| Title | Cite: A Content Based Trust Evaluation Scheme For Data Collection With Internet Of Everything |
|---|---|
| ID_Doc | 13994 |
| Authors | Zheng Y.; Li Z.; Zeng Z.; Zhang S.; Xiong N.N.; Liu A. |
| Year | 2023 |
| Published | Information Sciences, 647 |
| DOI | http://dx.doi.org/10.1016/j.ins.2023.119424 |
| Abstract | Sensor–cloud system, as one of the vital components of the Internet of Everything, has increasingly gained popularity since it bridges the physical and cyber worlds. In the smart city, sensing devices are deployed to monitor the environment and the data aggregate at the roadside Aggregation Devices (ADs). Then, Mobile Vehicles (MVs) submit the data to the data center in an opportunistic routing way when passing ADs. We propose a Content based Intelligent Trust Evaluation (CITE) scheme for trustworthy data collection over large-scale sensor-cloud systems. In CITE scheme, unmanned Mobile Electric Vehicles (MEVs) are employed to visit some sensing devices and collect their data along the designed routing path. Then, a delicate comparison algorithm is proposed to determine the credibility of devices' data operations, and trust evaluation is based on it. Similarly, the trust of MVs is obtained by comparing the data reported from ADs with the data submitted to the data center. Moreover, to reduce the cost of MEVs, we also design a path planning algorithm. The simulation results show that the CITE scheme can identify reliable sensing devices and MVs with a rate of 87.3% and 100% and increase the collection rate by 25.2% on average compared with the previous strategies. © 2023 Elsevier Inc. |
| Author Keywords | Content based trust evaluation; Data collection; Sensor-cloud system; Trajectory optimization; Trust computing |
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