Article: Research on two-stage distributed collaborative media transmission optimisation based on improved K-means and improved BEGA Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.78 pp.79 - 102 Abstract: To improve the stability of distributed collaborative media data transmission, this paper proposes a two-stage distributed collaborative media transmission optimisation method based on improved K-means algorithm and improved bee evolutionary genetic algorithm (BEGA). By dividing distributed collaborative media transmission optimisation into clustering and routing stages, and respectively using K-means algorithm improved by introducing a differential evolution algorithm, as well as BEGA algorithm improved in parameters, crossover method, and mutation method for clustering and optimisation, the optimisation of distributed collaborative media transmission is achieved. The simulation results show that when number of deployment node is 100, 300, and 500, number of surviving nodes drops to zero approximately after 700 rounds, the packet transmission rate is about 70% after 1,000 rounds, the network remaining energy drops to zero approximately after 1,000 rounds, and network energy consumption balance remains at a high value before 800 rounds. Compared with the contrast method, it has more efficient and stable data transmission performance. From this, it can be concluded that the proposed method can improve the stability of distributed collaborative media data transmission, providing a reference for achieving more efficient and stable data transmission in distributed collaborative media. Inderscience Publishers - linking academia, business and industry through research

Title: Research on two-stage distributed collaborative media transmission optimisation based on improved K-means and improved BEGA

Authors: Zhenwei Chen; Yingqi Chen

Addresses: Anhui College of Mining and Technology, Examination Information Center, Huaibei City, Anhui Province, China; Huaibei Coal Technician College of Anhui, Examination Information Center, Huaibei City, Anhui Province, China ' Huaibei No. 12 High School, Huaibei City, Anhui Province, China

Abstract: To improve the stability of distributed collaborative media data transmission, this paper proposes a two-stage distributed collaborative media transmission optimisation method based on improved K-means algorithm and improved bee evolutionary genetic algorithm (BEGA). By dividing distributed collaborative media transmission optimisation into clustering and routing stages, and respectively using K-means algorithm improved by introducing a differential evolution algorithm, as well as BEGA algorithm improved in parameters, crossover method, and mutation method for clustering and optimisation, the optimisation of distributed collaborative media transmission is achieved. The simulation results show that when number of deployment node is 100, 300, and 500, number of surviving nodes drops to zero approximately after 700 rounds, the packet transmission rate is about 70% after 1,000 rounds, the network remaining energy drops to zero approximately after 1,000 rounds, and network energy consumption balance remains at a high value before 800 rounds. Compared with the contrast method, it has more efficient and stable data transmission performance. From this, it can be concluded that the proposed method can improve the stability of distributed collaborative media data transmission, providing a reference for achieving more efficient and stable data transmission in distributed collaborative media.

Keywords: distributed collaborative media; transmission optimisation; K-means algorithm; BEGA algorithm.

DOI: 10.1504/IJICT.2026.155027

International Journal of Information and Communication Technology, 2026 Vol.27 No.78, pp.79 - 102

Received: 16 Jan 2026
Accepted: 11 Mar 2026
Published online: 22 Jul 2026 *

Title: Research on two-stage distributed collaborative media transmission optimisation based on improved K-means and improved BEGA

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