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Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models by Chen, Pin-Yu; Cheng, Shin-Ming; Hsu, Hui-Yu is a scholarly article available to read on EtoBox.

What is Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models about?

To fully empower sensor networks with cognitive Internet of Things (IoT) technology, efficient medium access control protocols that enable the coexistence of cognitive sensor networks with current wireless infrastructure are as essential as the cognitive power in data fusion and processing due to shared wireless spectrum. Cognitive radio (CR) is introduced to increase spectrum efficiency and support such an endeavor, which thereby becomes a promising building block toward facilitating cognitive IoT. In this paper, primary users (PUs) refer to devices in existing wireless infrastructure, and secondary users (SUs) refer to cognitive sensors. For interference control between PUs and SUs, SUs adopt dynamic spectrum access and power adjustment to ensure sufficient operation of PUs, which inevitably leads to increasing latency and poses new challenges on the reliability of IoT communications. To guarantee operations of primary systems while simultaneously optimizing system performance in cognitive radio ad hoc networks (CRAHNs), this paper proposes interference-aware flooding schemes exploiting global timeout and vaccine recovery schemes to control the heavy buffer occupancy induced by p

Author

Chen, Pin-Yu; Cheng, Shin-Ming; Hsu, Hui-Yu

Published

2017

Language

EN