Abstract
Cognitive radios is popular to solve the spectrum scarcity problem. In this paper, we investigate the channel assignment problem in the cognitive radio sensor networks. Due to the inherent power and resource constraints of wireless sensor networks, energy efficiency is the primary concern for networks design. Firstly, a model of data transmission and channel state is described to estimate the predicted residual energy. Secondly, we propose a FOA-based channel assignment. Lastly, we compare our algorithm with other two optimization-based channel assignment algorithms with the proposed method. Simulations results show that FOA-based channel assignment performances with the other two algorithms with respect to residual energy.
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