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Sensor-based optimization multi-decision model for sustainable smart cities
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AI
DOI：10.1016/j.seta.2023.103452.png)
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摘要
En 中文
The development of intelligent applications using sensing technology in cooperation with the Internet of Things (IoT). In combination, they allow Internet users to get the necessary data from cloud systems by transmitting information from objects to web servers. The community demands, such as response times and reliable remote connections for accessing the information from IoT networks. Although, the majority of proposed solutions provide the optimal way to direct network traffic toward cloud storage. However, most of them are still needed to manage resources efficiently while handling huge amounts of data. Moreover, distributed IoT services must be intelligent and also be secure against malicious data access. This study introduces an autonomous approach using trusted sensing technologies to provide reliable remote sensing and aggregation for future-generation systems. In the first phase, the proposed model looks at an artificial intelligence-based method for negotiation between IoT devices and mobile stations for transferring the data. The second phase involves the creation of a robust security method that supports digital certificates for peer-to-peer mutual authentication. Additionally, to maintain the integrity of certificates, they are sent securely in the form of a chain. Finally, a combination of trust and privacy is used while storing data on cloud servers. Simulation-based experiments have shown that the proposed model significantly outperforms I-AREOR and MCNA in terms of energy consumption, packet delivery ratio, malicious threats, and overhead.
Keyword:
Internet of things
Real-time monitoring
Multi-decisions
Sustainable management
Smart cities
期刊
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7
论文数:
4.5K
被引数:
2.2W
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