Primary User-Aware Optimal Discovery Routing for Cognitive Radio Networks
Author's Department
Electronics & Communications Engineering Department
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https://ieeexplore.ieee.org/document/8340861
Document Type
Research Article
Publication Title
IEEE Transactions on Mobile Computing
Publication Date
1-1-2019
doi
10.1109/TMC.2018.2828104
Abstract
Routing protocols in multi-hop cognitive radio networks (CRNs) can be classified into two main categories: local and global routing. Local routing protocols aim at decreasing the overhead of the routing process while exploring the route by choosing, in a greedy manner, one of the direct neighbors. On the contrary, global routing protocols choose the optimal route by exploring the whole network to the destination paying the flooding overhead cost. In this paper, we propose a primary user-aware k -hop routing scheme where k is the discovery radius. This scheme can be plugged into any CRN routing protocol to adapt, in real time, to network dynamics like the number and activity of primary users. The aim of this scheme is to cover the gap between local and global routing protocols for CRNs. It is based on balancing the routing overhead and the route optimality, in terms of primary users avoidance, according to a user-defined utility function. We analytically derive the optimal discovery radius ( k ) that achieves this target. Evaluations on NS2 with a side-by-side comparison with traditional CRNs protocols show that our scheme can achieve the user-defined balance between the route optimality, which in turn reflected on throughput and packet delivery ratio, and the routing overhead in real time.
First Page
193
Last Page
206
Recommended Citation
APA Citation
Seddik, K. G.
(2019). Primary User-Aware Optimal Discovery Routing for Cognitive Radio Networks. IEEE Transactions on Mobile Computing, 18(1), 193–206.
10.1109/TMC.2018.2828104
https://fount.aucegypt.edu/faculty_journal_articles/368
MLA Citation
Seddik, Karim Gomaa
"Primary User-Aware Optimal Discovery Routing for Cognitive Radio Networks." IEEE Transactions on Mobile Computing, vol. 18,no. 1, 2019, pp. 193–206.
https://fount.aucegypt.edu/faculty_journal_articles/368