In Wireless Sensor Network (WSN), the sensor nodes aggregate the environment and transmit the aggregated data to the Cluster Head (CH) or aggregator. Even though various data aggregation model is introduced, the resource‐constrained issues in WSN are complex to solve in the research community. Therefore, the authorization and verification‐based data aggregation model is proposed in this research to perform the secure data transmission. The proposed network model contains three functioning blocks, such as sensor nodes, aggregators, and data centers, respectively. The proposed data aggregation model involves five different phases, setup and key generation phase, signing, verification, authorization, and data aggregation phase. The sensor node creates the ID and private key to perform the data communication between the Cluster Head and data center. The data center generates the control message and transfers the message to CH and the sensor node. Finally, the data aggregation is carried out using the trimodel Least Mean Square (LMS) filter to achieve the data aggregation in WSN. Moreover, the proposed authorization and verification‐based data aggregation model obtained a lower prediction error of 0.0526 and consumed higher energy of 0.5567 J with the computational and the communication cost as 0.008 second, and 0.0139 second, respectively.

中文翻译：

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无线传感器网络基于安全意识的授权和验证数据聚合模型

在无线传感器网络（WSN）中，传感器节点聚合环境并将聚合的数据传输到群集头（CH）或聚合器。即使引入了各种数据聚合模型，WSN中的资源受限问题在研究界也很难解决。因此，本研究提出了一种基于授权和验证的数据聚合模型来执行安全的数据传输。提出的网络模型包含三个功能模块，分别是传感器节点，聚合器和数据中心。提出的数据聚合模型涉及五个不同的阶段，即设置和密钥生成阶段，签名，验证，授权和数据聚合阶段。传感器节点创建ID和私钥，以执行群集头和数据中心之间的数据通信。数据中心生成控制消息，并将该消息传输到CH和传感器节点。最后，使用三模型最小均方（LMS）过滤器进行数据聚合，以实现WSN中的数据聚合。此外，所提出的基于授权和验证的数据聚合模型获得了较低的预测误差0.0526和消耗了较高的能量0.5567 J，计算和通信成本分别为0.008秒和0.0139秒。