A tree-based energy-aware data aggregation method in the Internet of Things using the firefly optimization algorithm

被引:2
作者
Zhang, Li [1 ]
机构
[1] Lishui Vocat & Tech Coll, Lishui 323000, Zhejiang, Peoples R China
关键词
Internet of Things; Data aggregation; Energy consumption; Firefly algorithm; Optimization; CLUSTER-HEAD SELECTION;
D O I
10.1007/s41939-023-00141-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Internet of Things enables objects to interact via data exchange to reach specific objectives. IoT applications rely heavily on data aggregation, e.g., systems for control and computation on the Internet. Due to the increasing number of IoT devices connected via wireless networks with limited resources, highly efficient data aggregation is essential to handle complicated queries from IoT applications. This paper proposes a novel method using the firefly optimization algorithm to decrease energy consumption, improve network lifetime, reduce delay, and increase the packet delivery rate. The base station acts as the root of the aggregation tree, while the intermediate nodes act as aggregators of their children's nodes. According to simulation results, we observed that the energy consumption, network lifetime, packet delivery rate, and delay had been improved up to 20%, 10%, 10%, and 5%, respectively, compared to previous works.
引用
收藏
页码:223 / 233
页数:11
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