An energy-efficient routing algorithm for real-time wireless sensor networks

As a part of Cyber Physical Systems(CPSs), Wireless Sensor Networks (WSNs) have been widely used in many real-time applications. Due to the limited resources, constraints of the sensor nodes and the requirements of Quality of Service (QoS), it's of vital importance to design an energy-efficient routing algorithm while meeting the real-time requirements. In this work, we use Particle Swarm Optimization(PSO) to optimize the phase of clustering so as to improve the energy-efficiency, and we also propose the dynamic priority based on data types to schedule the inter-cluster data communication to meet the real-time requirements.