A framework for data storage algorithms in cognitive radio sensor networks

Cognitive radios have attracted much attention from researchers lately due to their ability to increase spectrum utilization efficiency. Recently the idea of employing cognitive radios in wireless sensor networks was proposed resulting in what so called cognitive radio sensor networks (CRSNs). Many of the algorithms that used to be deployed successfully in WSNs may not work properly in the cognitive settings of CRSNs, many modifications should be introduced to these algorithms to make them eligible to work in CRSNs and show performance with comparable quality to that in the case of WSNs. One of these algorithms is data storage algorithms. In this paper we propose a framework and introduce the required modifications for these data storage algorithms to work properly in CRSNs, we apply our proposed modifications to 3 different data storage algorithms and show with simulation results how these modifications make the performance in CRSNs approaches the performance in normal WSNs.