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A Method for Dynamic Allocation of Wireless Communication Network Resources Based on Social Relations

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Advanced Hybrid Information Processing (ADHIP 2022)

Abstract

Due to the large uncertainty of signal reception, the transmission speed of the wireless communication network resource allocation method is low. Based on social relations, a dynamic allocation method for wireless communication network resources is designed. Establish a wireless ad hoc network composed of a random number of nodes to determine the upper limit of its security capacity, and the nodes at the edge need to undertake more communication transmission loads on average. According to the similarity between users, a triple closed model is used to measure the social trust relationship in wireless communication networks. Considering the social trust and encounter frequency among users, the optimal relay node is selected for the wireless network communication link. The sum of data transmission rates under each allocation scheme is calculated and sorted in descending order, and resources are dynamically allocated based on the principle of maximum overall network throughput. Compared with other schemes through simulation, the dynamic allocation method of wireless communication network resources based on social relations can increase the network transmission speed and improve the communication performance.

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Correspondence to Changhua Li .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, C., Ge, W. (2023). A Method for Dynamic Allocation of Wireless Communication Network Resources Based on Social Relations. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_32

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  • DOI: https://doi.org/10.1007/978-3-031-28867-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28866-1

  • Online ISBN: 978-3-031-28867-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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