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PeerJ Comput Sci


Title:Sustainable development of multi-media communication path of broadcasting and hosting with a dynamic environment
Author(s):Hu Q;
Address:"College of Art and Design, Xi'an Mingde Institute Of Technology, Xi'an, China"
Journal Title:PeerJ Comput Sci
Year:2023
Volume:20230602
Issue:
Page Number:e1397 -
DOI: 10.7717/peerj-cs.1397
ISSN/ISBN:2376-5992 (Electronic) 2376-5992 (Linking)
Abstract:"To enrich people's lifestyles at home, the research on the transmission path of new media broadcasting and hosting programs has become a hot topic. The traditional statistical regression model has low prediction accuracy and weak generalization ability on such issues. Therefore, we propose an improved comprehensive path planning algorithm based on an ant colony algorithm to search for the optimal path of the multi-media transmission for broadcasting and hosting programs in a dynamic environment. Firstly, we improve the bidirectional search strategy, optimize the probability transition and extend the early search scope. Then, we utilize the allocation strategy of the wolf to change the updating rules of the pheromone. Finally, we take the shortest process time for listeners to obtain the broadcast program as the optimization goal and construct a comprehensive evaluation model. We also solve the optimal parameters to improve the overall performance of our method for finding out the excellent path of multi-media transmission in a dynamic environment. Experiment results show that our method can achieve the optimal route plans and we can demonstrate that the path planned by the improved ant colony algorithm is more reasonable, which can effectively avoid the optimum local problem and shorten the solution"
Keywords:Allocation strategy Ant colony algorithm Multi-media communication Path planning Two-way search strategy;
Notes:"PubMed-not-MEDLINEHu, Qiong eng 2023/06/22 PeerJ Comput Sci. 2023 Jun 2; 9:e1397. doi: 10.7717/peerj-cs.1397. eCollection 2023"

 
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