Research Area:  Wireless Sensor Networks
Wireless sensor networks (WSNs) are composed of several nodes, distributed in a geographical region. Limited energy of nodes is the main challenge of WSNs. Hence, it is required to apply different methods to consume less energy for calculations and communications. One method to reduce energy consumption in WSNs is to reduce the number of packets transmitted in the network. Data aggregation technique can cause a decrease in the number of transmitted packets. In fact, the technique combines related data and prevents sending additional packets. In this paper, a secure data aggregation method based on a combination of star and tree structures is suggested. Here, the network is geographically divided into four equal parts, and a stable star structure is formed in each part. In the secure hybrid structure data aggregation (SHSDA) method, each node is assigned a parent for transmitting data. To improve the security of data, the lightweight symmetric encryption is applied, and a key is distributed between each parent node and its children. The encrypted data is sent from leaf nodes to parent nodes, and gradually reaches the root through a star structure. Then the data is transmitted to the base station using the tree structure. The proposed method has been simulated using NS2. The results reveal that the average energy consumption and data delivery delay of SHSDA are less compared with that of conventional methods. Also, SHSDA method causes a rise in packet delivery rate, throughput, and flexibility.
Author(s) Name:  Maryam Naghibi & Hamid Barati
Journal name:  Journal of Ambient Intelligence and Humanized Computing
Publisher name:  Springer
Volume Information:  volume 12, pages 10769–10788 (2021)
Paper Link:   https://link.springer.com/article/10.1007/s12652-020-02751-z