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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.<\/jats:p>","DOI":"10.1155\/2018\/9678694","type":"journal-article","created":{"date-parts":[[2018,12,3]],"date-time":"2018-12-03T18:31:37Z","timestamp":1543861897000},"page":"1-9","source":"Crossref","is-referenced-by-count":2,"title":["An Improved Artificial Bee Colony Algorithm in LoRa Wireless Communication System for Efficient Multimedia Transmission"],"prefix":"10.1155","volume":"2018","author":[{"given":"Yan","family":"Song","sequence":"first","affiliation":[{"name":"College of Physics, Liaoning University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7459-5655","authenticated-orcid":true,"given":"Lidong","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Physics, Liaoning University, Shenyang, 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