AI‐driven efficient and reliable routing mechanism for optical fiber communication and wireless sensor networks

Abstract

Wireless sensor networks is a comprehensive intelligent information system which integrates information acquisition, information transmission and information processing. It has been widely used in many fields. How to guarantee the quality of service is an important topic to make effective use of wireless sensor networks. Additionally, the applications of wireless sensor networks also put forward new requirements which are different from traditional networks. This paper adopts an energy‐efficient routing protocol with QoS guarantee for real‐time communication in wireless sensor networks. The energy‐efficient routing protocol transforms the real‐time requirements of application communication into the speed requirements of data packets and dynamically adjusts the transmission power and routing decision of nodes according to the data packet speed and network state. When the real‐time requirement of communication is high, it increases the transmission power of nodes and switching speed with increasing energy consumption and reducing system throughput. When the real‐time requirement of communication is low, it saves energy consumption and increases system throughput by reducing the transmission power of nodes. The associated structure includes dynamic speed allocator, delay estimator, forwarding policy, queue manager and neighbor manager. Experimental results show that the energy‐efficient routing protocol greatly reduces the loss rate and energy consumption of real‐time data communication delay.