  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.
