Fine-Grained Metrics for Quantifying Admission Control Performance in Mobile Ad Hoc Networks

Abstract

The admission control (AC) is one of the crucial components of in QoS-providing mobile ad hoc networks (MANET). The responsibility of AC is to estimate the state of the network resources and decide whether application data can be admitted without promising more resources. AC should achieve a right balance between admission accuracy and network resource waste. It aims to admit as many sessions as possible, while utilizing the network’s resources fully and efficiently. Conversely, any inaccuracy in the admission decisions can result in the pledging of more resources than are available, leading to false admissions. However, the existing metrics are only network resource or performance related, thus, it is preferred to have a metric that can measure the effective AC protocols as it influences in achieving QoS demands of the sessions. Therefore, in this work we present observation-based admission control performance metrics quantifying the satisfaction of both single session and the entire network. Also we predict the possibilities of false admission and successful completion of a session and give discuss about the metrics. Finally, we proposed a design of feedback-based admission control using the metrics we presented for feedback parameters, the verification and implementation of our design and the effectiveness of the metrics is mentioned in the future works.