Tang, FeilongTang, CanYang, YanqinYang, L TZhou, TongLi, JieGuo, Minyi2021-06-041551-3203http://hdl.handle.net/1885/236752Cognitive 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.This work was supported in part by the National Natural Science Foundation of China projects under Grant 91438121, Grant 61373156, Grant 61672351, and Grant 61532013, in part by the National Basic Research Program (973 Program) under Grant 2015CB352403, and in part by the Huawei Technologies Co., Ltd., projects under Grant YB2015090040, Grant YBN2016090103 and Grant YB2015080089. Paper no. TII-15- 1713. (Corresponding author: F. Tang.)application/pdfen-AU© 2016 IEEE.Channel assignmentdelay predictionmobile cognitive radio networkroutingsignal collision201710.1109/TII.2016.26104082020-11-23