SARA - A Semantic Access Point Resource Allocation Service for Heterogenous Wireless Networks

Qianru Zhou, Alasdair J. G. Gray, Dimitrios Pezaros, Stephen McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
102 Downloads (Pure)


In this paper, we present SARA, a Semantic Access point Resource Allocation service for heterogenous wireless networks with various wireless access technologies existing together. By automatically reasoning on the knowledge base of the full system provided by a knowledge based autonomic network management system - SEANET, SARA selects the access point providing the best quality of service among the different access technologies. Based on an ontology assisted knowledge based system SEANET, SARA can also adapt the access point selection strategy according to customer defined rules automatically. Results of our evaluation based on emulated networks with hybrid access technologies and various scales show that SARA is able to improve the channel condition, in terms of throughput, evidently. Comparisons with current AP selection algorithms demonstrate that SARA outperforms the existing AP selection algorithms. The overhead in terms of time expense is reasonable and is shown to be faster than traditional access point selection approaches.

Original languageEnglish
Title of host publication2019 Wireless Days (WD)
ISBN (Electronic)9781728101170
Publication statusPublished - 13 Jun 2019


  • Knowledge based system
  • access point selection
  • hybrid wireless network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering


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