Data aggregation mechanisms in the Internet of things: A systematic review of the literature and recommendations for future research

Internet of Things (IoT) as a new interesting subject in information technology enables data receiving and sending for each creature through the communication network. Also, network lifetime is the critical challenge in the IoT, which tries to lengthen the lifetime of the IoT. In this regard, data aggregation as an efficient method is used to decrease the number of transmissions among objects. The loss of data redundancy leads to lengthen the network lifetime and decrease the energy consumption. Although the data aggregation has a vital role in the IoT, there is not any systematic and comprehensive study about analyzing its important mechanisms. Therefore, this paper aims to study and review the present data aggregation mechanisms in the IoT systematically. The data aggregation mechanisms are categorized into three main groups, including tree-based, cluster-based and centralized. Also, the detailed comparison of the significant techniques in each class brings a recommendation for further studies.