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

TL;DR

SARA is a semantic resource allocation service that intelligently selects access points in heterogeneous wireless networks, improving throughput and efficiency through knowledge-based reasoning and adaptive strategies.

Contribution

Introduces SARA, a novel semantic-based access point selection system that leverages knowledge reasoning and adapts to customer rules in heterogeneous wireless environments.

Findings

SARA improves throughput in emulated hybrid networks.

SARA outperforms existing AP selection algorithms.

Overhead is reasonable and faster than traditional methods.

Abstract

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.