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• W3048393000 abstract "In recent years, the Social Internet of Things (SIoT), which represents inseparable relationships between humans and devices, has become a hot research topic in wireless networks. As more heterogeneous devices will be connected, a higher frequency spectrum becomes a requirement. The cognitive radio (CR) technology can improve spectrum utilization in an opportunistic communication manner. However, dynamic spectrum availability and heterogeneous devices complicate routing design in CR-SIoT. Opportunistic routing (OR) can mitigate the drawbacks for routing design of cognitive radio social internet of things, CR-SIoT, by leveraging the broadcast nature of wireless channels; and thereby enhance the network performance. In this work, we propose an energy and trust aware OR in CR-SIoT, which jointly considers energy efficiency, trust and social features. In the proposed scheme, we exploit a new routing metric for selecting forwarding candidates based on optimal stopping theory and use network coding for the data transmission between trusted nodes for multiple types of flows in CR-SIoT. In addition, we propose a game-theoretic approach to allocate the trusted channel for CR-SIoT which is based on expected network gain. Extensive simulation results show that the proposed secure OR protocol performs better than existing routing protocols in CR-SIoT in terms of average energy cost per bit, packet delivery ratio (PDR), network lifetime, average delay, throughput and expected cost of routing." @default.
• W3048393000 created "2020-08-18" @default.
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• W3048393000 date "2020-10-01" @default.
• W3048393000 modified "2023-10-16" @default.
• W3048393000 title "TOT: Trust aware opportunistic transmission in cognitive radio Social Internet of Things" @default.
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• W3048393000 doi "https://doi.org/10.1016/j.comcom.2020.08.007" @default.
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