A Lightweight and Robust Multi-Dimensional Data Aggregation Scheme for IoT

Data aggregation technology plays a very important role in improving the efficiency of data collection of the Internet of Things (IoT). Most data collected by sensor nodes (SNs) in IoT is multi-dimensional. However, there are a few existing multi-dimensional data aggregation schemes, which are almost based on homomorphic encryption and not suitable for resource-constrained IoT smart devices. In addition, when SNs cannot upload in time for some reason, such as device error or network interruption, control center cannot get the correct aggregation result, i.e., robustness is not considered in most schemes. Therefore, we propose a lightweight and robust multi-dimensional data aggregation scheme for IoT. First, multi-dimensional data is packaged into one-dimensional data based on the Chinese Remainder Theorem, which greatly reduces communication and storage overhead. Second, the encryption in our scheme only uses addition operations without the costly additive homomorphic encryption. At the same time, our proposed scheme supports batch verification, which reduces the computation complexity of bilinear pairs by nearly half. Third, our scheme also supports dynamic SNs management and fault tolerance, enabling scalability and robustness. Finally, performance evaluation shows that our scheme has lower communication overhead and is more suitable for resource-constrained IoT scenarios.