Data Aggregation in IOT Networks for Energy Constrained Applications

Nikhat Parveen, S. S, B. Pattanaik, Balamurugan D
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Abstract

Recently, there has been a great deal of discussion about the Internet of Things (IoT), both in the classroom and in the field. Because the IoT relies on data, it can be challenging to compile all that data into a coherent whole. A high robust data transmission is the primary motivation for data aggregation systems, which seek to optimize delay, reliability, and energy consumption during data transmission. In this research, the study uses a hybrid data aggregation model for IoT that aims to improve the process of data aggregation for efficient data transmission in two different energy constrained networking applications. The entire simulation is conducted in a network simulator environment, and it is tested in terms of packet delivery rate and throughput. The results show an increase data rate and network throughput in various energy constrained applications.
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面向能源约束应用的物联网数据聚合
最近,无论是在课堂上还是在现场,都有很多关于物联网(IoT)的讨论。由于物联网依赖于数据,因此将所有数据汇编成一个连贯的整体可能具有挑战性。高鲁棒数据传输是数据聚合系统的主要动力,它寻求优化数据传输过程中的延迟、可靠性和能耗。在本研究中,该研究使用了一种物联网混合数据聚合模型,旨在改进数据聚合过程,以便在两种不同的能量受限网络应用中高效传输数据。整个仿真在网络模拟器环境中进行,并对其进行了分组传输速率和吞吐量方面的测试。结果表明,在各种能量受限的应用中,数据速率和网络吞吐量都有所提高。
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