Delay-Minimized Routing in Mobile Cognitive Networks for Time-Critical Applications
Date
2017
Authors
Tang, Feilong
Tang, Can
Yang, Yanqin
Yang, L T
Zhou, Tong
Li, Jie
Guo, Minyi
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Publisher
IEEE Computer Society
Abstract
Cognitive radio significantly mitigates the spectrum scarcity for various applications built on wireless communication. Current techniques on mobile cognitive ad hoc networks (MCADNs), however, cannot be directly applied to time-critical applications due to channel interference, node mobility as well as unexpected primary user activities. In multichannel multiflow MCADNs, it becomes even worse because multiple links potentially interfere with each other. In this paper, we propose a delay-minimized routing (DMR) protocol for multichannel multiflow MCADNs. First, we formulate the DMR problem with the objective of delay minimization. Next, we propose a delay prediction model based on a conflict probability. Finally, we design the minimized path delay as a routing metric, and propose a heuristic joint routing and channel assignment algorithm to solve the DMR problem. Our DMR can find out the path with a minimal end-to-end (e2e) delay for time-critical data transmission. NS2-based simulation results demonstrate that our DMR protocol significantly outperforms related proposals in terms of average e2e delay, throughput, and packet loss rate.
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Keywords
Channel assignment, delay prediction, mobile cognitive radio network, routing, signal collision
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Source
IEEE Transactions on Industrial Informatics
Type
Journal article
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2099-12-31
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