Research and development of the dynamic multi-connection wireless sensor network model

Abstract

Wireless Sensor Networks (WSNs) consist of sensors connected wirelessly to collect information from the environment and transmit data to a central processing unit. WSNs are widely applied in healthcare, industry, and automation due to their ability to provide real-time information at a low cost. This research proposes a Dynamic Multi-Connection Wireless Sensor Network (DMC WSN) model integrated with Time Division Multiple Access (TDMA) to allocate transmission time efficiently, avoid signal interference, and enhance communication performance in production environments. Simulation results indicate that, when neither TDMA nor power control is employed, both the weakest sensor capacity and the average capacity are at their lowest levels. When the Max-Min algorithm is applied for power control, capacity is improved. Conversely, when TDMA is utilized, even without power control, both the weakest sensor capacity and the average capacity reach their highest levels. This demonstrates that TDMA significantly improves communication efficiency and ensures stable capacity for the DMC WSN model in production environments.