Delay-Minimized Minimized Routing in Mobile Cognitive Networks for Time Time-Critical Applications
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 critical applications due tto o 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 delay-minimized routing (DMR) 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 routi 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 end-toend (e2e) delay for time--critical data transmission. NS2-based based simulation results demonstrate that at our DMR protocol significantly outperforms related proposals in terms of average e2e delay, throughput, and packet loss rate.