Research Area:  Wireless Sensor Networks
Complex task processing and frequent data communication in Wireless Multimedia Sensor Networks (WMSN) demand for energy-efficient and Quality of Service (QoS) guarantee to support new applications especially in the sensing layer of Internet-of-Vehicles. However, the WMSN is heterogeneous and the energy distribution is not uniform, the current routing protocols do not take energy consumption into account while ensuring QoS. Therefore, to make energy distribution more efficiently while ensuring QoS has become a challenging problem. In this paper, we propose an energy-efficient distributed adaptive cooperative routing (EDACR) for WMSN, taking into account the constraints of QoS and energy consumption. Particularly, we design a reinforcement learning based mechanism to perform QoS and energy balanced routing according to the knowledge of reliability and delay. The simulation results show that the energy consumption is reduced while ensuring QoS compared with the traditional cooperative protocol and the distributed adaptive cooperative routing protocol.
Author(s) Name:  Denghui Wang,Jian Liu,Dezhong Yao,
Journal name:  Computer Networks
Publisher name:  Elsevier B.V.
Volume Information:  Volume 178, 4 September 2020, 107313
Paper Link:   https://www.sciencedirect.com/science/article/pii/S1389128619313568