An Improved Artificial Bee Colony Algorithm in LoRa Wireless Communication System for Efficient Multimedia Transmission

• Published in: International Journal of Digital Multimedia Broadcasting Vol. 2018; no. 2018; pp. 1 - 9
• Main Authors: Song, Min, Li, Lili, Xu, Panfeng, Huang, Lidong, Song, Yan, Long, Yue
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Artificial intelligence; Communication networks; Communications systems; Computer simulation; Digital media; Fault diagnosis; Finite element method; Honey; Multimedia; Neural networks; Optimization algorithms; Power consumption; Radio equipment; Reputation management; Search algorithms; Streaming media; Swarm intelligence; Video communication; Video data; Video transmission; Wireless communications; Wireless networks; Wireless telecommunications equipment
• ISSN: 1687-7578; 1687-7586; 1687-7586
• DOI: 10.1155/2018/9678694

Video streaming communication networks will be a very important way to send multimedia information anytime and anywhere, and the construction of the network base station which transmits signals is crucial in future. However, there is a contradiction between the power consumption of LoRa nodes and the real-timeliness of mesh network. In order to solve the contradiction, this article aims to combine the mesh network of LoRa wireless communication system with an improved artificial bee colony algorithm. Specifically, an artificial bee colony algorithm, which is based on RBF radial basis neural network trained with random gradient method, is designed. Simulation results show that the proposed algorithm solves the contradiction between power consumption and real-timeliness effectively. When using this improved network system structure to send multimedia information, it shows obvious superiority in terms of the high efficiency and real-timeliness of multimedia transmission.