Providing a Solution to Reduce Energy Consumption in IoT-Based WSNs Based on Node Activity Management

Nowadays, the energy consumption of wireless sensor networks has increased dramatically due to the significant growth of these networks, especially their use in the Internet of Things. Also, reducing the energy consumption in these networks has been considered to protect the environment. Energy consumption in nodes is critical, and many research studies have been conducted to reduce it. Most methods are based on clustering and cluster selection, while this work presents a solution based on managin g nodes' activity. The nodes were scheduled so that almost all of them were active. The energy of all nodes should be consumed equally. The proposed solution was compared with the DSP-SR algorithm. The results demonstrated that the proposed method can work much better than DSP-SR. According to the evaluation, the proposed method had strengths such as optimal energy allocation and almost no dead nodes in the time periods.

Keywords:

internet of things , energy consumption , energy saving , activity level , sink node