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

Journal Title

Journal ISSN

Volume Title

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.

Description

Keywords

Channel assignment, delay prediction, mobile cognitive radio network, routing, signal collision

Citation

Source

IEEE Transactions on Industrial Informatics

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2099-12-31