Abstract
With the emerging new applications on the Internet of Things (IoT) and the abundant use of sensing devices with increased wireless spectrum utilization, it becomes tedious for reliable communication for unlicensed users. Due to spectrum availability dynamics, it is a potential challenge to devise a spectrum aware channel assignment and routing mechanism for unlicensed users called secondary users (SUs) in cognitive radio-enabled sensor networks. In the presented work, a mechanism for routing based on spectrum availability is proposed. The estimation of spectrum availability and spectrum quality is based on the distance and received signal strength indicator (RSSI). Routing is performed by allocating path weights and the optimal path is selected that has minimum path weight. The proposed work is evaluated for routing performance through simulations and it is found that the proposed work achieves a significant enhancement in the performance than the existing algorithm.KeywordsCognitive radioClusteringMinimum-costOptimal strategyRSSI
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