在协作频谱感知过程中，FC需要收集来自不同物联网设备的感知结果并利用一

In the process of collaborative spectrum sensing, FC needs to collect the sensing results from different IoT devices and use a certain fusion strategy to make a final decision, and then FC will broadcast the decision results to each IoT device. If the FC is set up in the cloud layer, the perception report of the terminal device may not be sent to the FC in time due to the delay problem, and it will also cause security problems such as data leakage. Therefore, we propose to set up a sub-fusion center on the edge layer to achieve data preprocessing, and upload the preprocessed data to the cloud or return the calculation results to the terminal device. As shown in Figure 2, S-FC can filter the perception reports of MIDs and only send the perception results of NIDs to FC. This reduces the total amount of data transmission, avoids data forwarding and transmission, and also reduces data theft and theft. The possibility of privacy leakage improves data security.

In the process of cooperative spectrum sensing, FC needs to collect the sensing results from different IOT devices and make the final decision by using a certain fusion strategy, and then FC transmits the decision results to each IOT device by broadcasting. If the FC is set up in the cloud, the perception report of the terminal equipment may not be sent to the FC in time due to the delay problem, and it will also cause security problems such as data leakage. Therefore, we propose to set up a sub fusion center on the edge layer to realize data preprocessing, upload the preprocessed data to the cloud or return the calculation results to the terminal device. As shown in Figure 2, s-fc can filter the sensing report of mids and only send the sensing results of NIDS to FC, which reduces the total amount of data transmission, avoids data forwarding and transmission, reduces the possibility of data theft and privacy disclosure, and improves the security of data.

In the process of cooperative spectrum sensing, FC needs to collect the sensing results from different IoT devices and make a final decision by using a certain fusion strategy, and then FC will broadcast the decision results to each IoT device. If FC is set up in the cloud, the perception report of terminal equipment may not be sent to FC in time due to the time delay, and it may also cause security problems such as data leakage. Therefore, we propose to set up a sub-fusion center on the edge layer to realize data preprocessing, and upload the preprocessed data to the cloud or return the calculation results to the terminal equipment. As shown in Figure 2, S-FC can filter the perception report of MIDs and only send the perception results of NIDs to FC, which reduces the total amount of data transmission, avoids data forwarding and transmission, reduces the possibility of data theft and privacy leakage, and improves data security.