Trust and grey model based data aggregation algorithm
Jun Wang, Wang Ni, N.A. Li, Yansui Du · International Journal of Sensor Networks · 2021
The reliability of data aggregation is an important problem in wireless sensor networks. Therefore, trust and grey model based data aggregation algorithm (TGDA) is proposed. The algorithm combines technologies such as trust mechanism, data prediction and data aggregation. Before initiating data aggregation, the cluster heads will detect the abnormal nodes whose trust value is lower than a certain value, and add them to the blacklist. According to the high time dependence of the data collected by sensor nodes, the grey model is used to predict the missing data of the abnormal nodes. Finally, the trusted data are aggregated. Simulation results show that compared with other algorithms, the algorithm can effectively improve the security and accuracy of data aggregation under the premise of ensuring the network life cycle.