Scheduling Algorithm for Power Wireless Sensor Networks Considering Service Priority and Delay Constraints

Abstract

The power wireless sensor network integrates wireless communication and intelligent sensing technology to monitor the operating status of power equipment in real-time, thereby improving the stability and safety of the power system. However, numerous sensor data flows may lead to network congestion and end-to-end delays. In addition, in the power system, monitoring data has different delay constraints and reliability requirements, and it is necessary to divide the flow into different priorities for transmission. Therefore, this paper proposes a scheduling algorithm for power wireless sensor networks that considers service priority. We construct a power wireless sensor network model that includes network topology, queue length and problem definition. Data flow priority and delay constraints are met by introducing queue weight factors and virtual queues. The Lyapunov optimisation method maximises the throughput of the priority classification-based power wireless sensor network. Moreover, the queue stability of the scheduling algorithm is theoretically proved. The simulation results show that the proposed algorithm can ensure the stability of all queues and strictly meet the priority and delay constraints of various data flows in the network.