Priority-Based Optimal Resource Reservation Mechanism in Wireless Sensor Networks for Smart Grid

In smart grid, wireless sensor networks (WSNs) are becoming the mainstream of the IoT applications where power terminals can sense scalar data (such as temperature and humidity) and multimedia (such as audio and video) data. In some critical electricity business, these data are very important and must be sent in real time. The traditional IP network which adopts a “best-effort” transmission strategy cannot guarantee the quality of critical power business. Under the consideration of the existence of multiple heterogeneous data in WSNs, we separate the critical data according to the criticality of the business so that critical business can be processed in time. Then we propose an optimal resource reservation mechanism that allocates sufficient resources for critical data to achieve optimal utilization of resources, thereby reducing the latency of the entire system and improving the performance of grid system.