Visible to the public A Flexible Anti-Jamming Channel Hopping for Cognitive Radio Networks

TitleA Flexible Anti-Jamming Channel Hopping for Cognitive Radio Networks
Publication TypeConference Paper
Year of Publication2018
AuthorsChao, Chih-Min, Lee, Wei-Che, Wang, Cong-Xiang, Huang, Shin-Chung, Yang, Yu-Chich
Conference Name2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)
Keywordsanti-jamming channel hopping protocol, Anti-jamming strategy, channel hopping sequences, Cognitive radio, cognitive radio networks, Cognitive radio networks (CRNs), Cognitive Radio Security, Computer science, CRN, Extended Langford pairing (ELP), flexible anti-jamming channel hopping, frequency hop communication, jamming, LAA scheme, load awareness anti-jamming channel hopping scheme, Load modeling, Oceans, Protocols, pubcrawl, resilience, Resiliency, SU node, telecommunication security, Throughput, Topology, traffic load, wireless channels
Abstract

In cognitive radio networks (CRNs), secondary users (SUs) are vulnerable to malicious attacks because an SU node's opportunistic access cannot be protected from adversaries. How to design a channel hopping scheme to protect SU nodes from jamming attacks is thus an important issue in CRNs. Existing anti-jamming channel hopping schemes have some limitations: Some require SU nodes to exchange secrets in advance; some require an SU node to be either a receiver or a sender, and some are not flexible enough. Another issue for existing anti-jamming channel hopping schemes is that they do not consider different nodes may have different traffic loads. In this paper, we propose an anti-jamming channel hopping protocol, Load Awareness Anti-jamming channel hopping (LAA) scheme. Nodes running LAA are able to change their channel hopping sequences based on their sending and receiving traffic. Simulation results verify that LAA outperforms existing anti-jamming schemes.

URLhttps://ieeexplore.ieee.org/document/8590961
DOI10.1109/CANDARW.2018.00107
Citation Keychao_flexible_2018