期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：17
出版社：Journal of Theoretical and Applied
摘要：Reliable and high throughput data delivery in cognitive radio sensor networks (CRSN) remain an open challenge owing to the inability of the source to quickly identify and react to challenges in spectrum availability. The paper proposes a novel congestion control scheme called Enhanced congestion detection and avoidance (ECODA) for CRSN to operate in a mobile framework. It articulates a clustered HEED based mechanism in an effort to exploit the available spectrum on the principles of the cognitive radio technology. The ECODA involves a threefold methodology in order that it uses a dual buffer threshold and weighted buffer difference for congestion detection and a bottleneck-node-based source sending rate control and multi-path loading balancing. The attempt owes to evaluate its performance on a NS2 platform and bring out the improvement in indices through the use of the congestion avoidance mechanism. The results project far reaching impacts in the sense it portrays the viability of the procedure and allows it for exploring fresh applications in this domain.
关键词：Cognitive radio sensor networks; ECODA; Clustered HEED; Throughput
