Service-Based Optimal Group Resource Allocation Strategy

Chaeyeon Cha, Hyunggon Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


With the increasing development of the Internet of Things (IoT), there is a growing need for efficient resource allocation to the many devices in the IoT system. This need is particularly acute in the case of time-sensitive applications, where fast resource allocation is essential. However, the resource allocation based on the Nash bargaining solution (NBS) necessitates exponentially increasing computational complexity for user dynamic systems. We propose an approach that makes groups based on the requested services and predicts a disagreement point whenever the group size changes, with the aim of reducing the computational complexity to find the NBS. Through simulation results, we demonstrate that our proposed approach outperforms the existing method in terms of execution time to find the NBS, maintaining the optimality in finding NBS.

Original languageEnglish
Title of host publicationICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9798350335385
StatePublished - 2023
Event14th International Conference on Ubiquitous and Future Networks, ICUFN 2023 - Paris, France
Duration: 4 Jul 20237 Jul 2023

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536


Conference14th International Conference on Ubiquitous and Future Networks, ICUFN 2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.


  • Internet of Things
  • Nash bargaining solution
  • resource management


Dive into the research topics of 'Service-Based Optimal Group Resource Allocation Strategy'. Together they form a unique fingerprint.

Cite this