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- Title
A novel routing protocol for stable route selection in IoT networks.
- Authors
Darabkh, Khalid A.; Alzboun, Thara A.; Al-Tahaineh, Marwa H.
- Abstract
Recently, it has become critical to offer adequate spectrum bands for Internet of Things (IoT) applications. The convergence of Cognitive Radio Networks (CRNs) with IoT is a significant step toward a more intelligent world. Remarkably, cognitive radio has gained a great attention recently as of being essential in dealing with wireless spectrum scarcity problems. More and over, the continuously growing demand for wireless communication induces researchers to construct secondary networks using the wasted spectrum. Furthermore, the choice of routing algorithms used in CRN is a fundamental factor since they play an integral role in the best path selection and facilitate the communication process within the network. As a result, various studies have recently concentrated on the quality of service as one of the significant routing measures used to establish the optimum paths for Cognitive Radio Ad-hoc Networks (CRAHN). Hence, this work presents a routing protocol that considers route stability. Specifically, to achieve a high throughput, we have an efficient stability function being involved in constructing the routing paths, thereby not only improving the throughput, but also minimizing the possibility of network disconnections. This work supports the approach that focuses on building a fully distributed network where the nodes communicate less than the ordinary CRAHNs by presenting a routing protocol without a common control channel. Inevitably, several simulation experiments and scenarios are operated with a distinct Java simulator to evaluate the proposed protocol's performance. The results of the study show that our proposed protocol provides a significant improvement in throughput over its counterparts.
- Subjects
COGNITIVE radio; ROUTING algorithms; INTERNET of things; RADIO networks; ROUTE choice; QUALITY of service; WIRELESS communications
- Publication
Journal of Supercomputing, 2024, Vol 80, Issue 2, p2572
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-023-05570-z