Cluster - Oriented Model for Data Collection in Mobile IoT Networks
Alexander Ivanovich Vodyaho, Abbas Saddam Ahmed, Nataly Alexandrovna Zhukova, Aung Myo Thaw · 2020
This paper describes secure data collection of mobiles devices by the combination of clustering and fog techniques. The main purpose of the data collection model is to improve not only secure communication between IoT devices, but also consider latency and energy consumption when transmitting data over network. The usage of secure algorithms and schemes provides secure selecting cluster head when collecting data, as well as provides energy-efficient routing. We evaluated proposed model by using various performance metrics such as security, energy consumption, number of alive nodes occurrence, and overall latency of network. By the result of simulation, the performance of our model better than existing clustering-based models in several aspects.