Paper Info
Title
Boundary Helps: Reliable Route Selection With Directional Antennas in Cognitive Radio Networks
Abstract
The unpredictable activities of primary users (PUs) make the channel availabilities in cognitive radio networks (CRNs) very unstable, which causes routing in CRNs to be more difficult than in traditional wireless networks. Specifically, when a source node needs to select a route to reach the destination, the “optimal” route during the route selection phase may not be optimal in the data transmission phase. In this paper, we propose a novel routing protocol based on the traditional source routing protocols. We consider the angle dimension by assuming that directional antennas are equipped on every node, which facilitate the marking of boundaries of PUs. We use the USRP/Gnuradio testbed to show the sensing result differences of different directions at the boundary area of a PU. For every optional route between a source and a destination node, we evaluate its reliability and other performance by evaluating the PU areas it passes through, and by estimating the possible transmission rate. Based on these parameters, we propose an algorithm for route selection, considering both the reliability and delay. Our routing protocol only requires very limited piggyback information, and it is highly adaptable under the dynamic channel availabilities. We evaluate our approach through extensive simulations.
Year
DOI
Venue
2015
10.1109/TVT.2014.2364549
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
cognitive radio networks,usrp/gnuradio,boundary nodes,directional antennas,routing,interference,signal to noise ratio,simulation,availability,radio,antennas,algorithms,routing protocols
Wireless network,Dynamic Source Routing,Computer science,Computer network,Electronic engineering,Directional antenna,Source routing,Geographic routing,Route poisoning,Cognitive radio,Routing protocol
Journal
Volume
Issue
ISSN
PP
99
0018-9545
Citations 
PageRank 
References 
3
0.42
11
Authors
3
Name
Order
Citations
PageRank
Ying Dai1324.00
Jie Wu28307592.07
Yaxiong Zhao31157.18