Open AccessProbabilistic and deterministic path selection in cognitive radio network
Author(s) -
Saifan Ramzi,
Msaeed Anood M.,
Darabkh Khalid A.
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0748
Subject(s) - cognitive radio , computer science , probabilistic logic , wireless , path (computing) , computer network , wireless network , path loss , spectrum management , throughput , protocol (science) , selection (genetic algorithm) , transmission (telecommunications) , radio spectrum , telecommunications , machine learning , artificial intelligence , medicine , alternative medicine , pathology
Cognitive radio (CR) plays an important and promising role in solving wireless spectrum scarcity problems by exploiting wireless spectrum bands that have been underutilised thus far. CR is a type of wireless communication in which wireless devices use environmental sensing to detect and change transmission parameters. The authors propose the probabilistic and deterministic path detection (PDPS) Protocol for CR networks in this study. PDPS aims to increase the probability of finding the path of best quality between any source and any destination. The performance of the proposed protocol is evaluated by conducting comprehensive simulation scenarios and experiments using a special simulator, which was built using Java. The simulation results highlight the benefits of the proposed path selection technique in comparison to state‐of‐the‐art protocols. Comparisons are carried out using several performance metrics; namely throughput, stability and end‐to‐end delay.