An Efficient Cluster-based Routing Protocol in Cognitive Radio Net-work
Fatima Zohra Benidris (LTT), Badr Benmammar (LTT), Leila, Merghem-Boulahia (ICD), Moez Esseghir (ICD)

TL;DR
This paper introduces a new cluster-based routing protocol for cognitive radio networks that adapts quickly to topology changes, improves route discovery, reduces message overhead, and minimizes routing delay, especially in large, sparse networks.
Contribution
The paper presents a novel clustering-based routing protocol specifically designed for cognitive radio ad hoc networks, enhancing efficiency and adaptability over existing methods.
Findings
Better route discovery success rate
Reduced message transmission overhead
Lower routing delay
Abstract
Cognitive Radio Networks (CRNs) are being studied intensively and gaining importance as spectrum is the heavily underutilized. CRN has the capability to exploit smartly the unutilized frequency spectrum. Recently, the research community started to work in the area of cognitive radio routing. In a flat topology, all nodes are of the same level and functionality, thus making it simple and efficient for smaller networks. However, when the network is large with sparse nodes, the routing information becomes more complex making cluster-based techniques really relevant to tackle such situations. In a cluster-based routing, all nodes in the network are dynamically organized into partitions called groups or clusters. In each cluster, a cluster head is chosen to help in the data transmission management and to maintain cluster membership information. This paper proposes a novel routing protocol…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Cooperative Communication and Network Coding · Mobile Ad Hoc Networks
