WiQoSM: An Integrated QoS-Aware Mobility and User Behavior Model for Wireless Data Networks

Abstract

Modeling mobility and user behavior is of fundamental importance in testing the performance of protocols for wireless data networks. While several models have been proposed in the literature, none of them can at the same time capture important features such as geographical mobility, user generated traffic, and wireless technology at hand.When collectively considered, these three aspects determine the user-perceived QoS-level, which, in turn, might have an influence on mobility of those users (we call them QoSdriven users) who do not display constrained mobility patterns, but they can decide to move to less congested areas of the network in case their perceived QoS-level becomes unacceptable.In this paper, we introduce the WiQoSM model which collectively considers all the above mentioned aspects of wireless data networks. WiQoSM is composed of i) a user mobility model, ii) a user traffic model, iii) a wireless technology model, and iv) a QoS model.Components i), ii), and iii) provide input to the QoS model, which, in turn, can influence the mobility behavior of QoS-driven users. WiQoSM is very simple to use and configure, and can be used to generate user and traffic traces at the APs composing a wireless data network.WiQoSM is shown to be able to generate traces which resemble statistical features observed in traces extracted from real-world WLAN deployments. Furthermore, WiQoSM * A preliminary version of this paper appeared in Proc. ACM/IEEE International Symposium on Modeling, Analysis has the nice feature of allowing fine tuning of disjoint set of parameters, in order to influence different statistical properties of the generated traces, and of providing the network designer with a high degree of flexibility in choosing network parameters such as number of users and APs, wireless channel technology, traffic mix, and so on. Given the above features, WiQoSM can be a valuable tool in the simulation of wireless data network protocols.

A semantic end-to-end QoS model for dynamic service oriented environments

“…User Profile comprehends two quality factors: Mobility and Traffic. These factors have been defined based on the model proposed by Resta et al [15]. User Mobility is divided into three patterns: Stationary users, QoS-driven users and Mobile users.…”

“…For the purposes of this work, it is worth mentioning the service oriented computing community (e.g., [8,6,2,14,3]), the end-to-end QoS community (e.g., [7]), as well as the pervasive computing and mobile computing communities (e.g., [9,15]). Even if different in purpose, these efforts intended at least to identify relevant quality factors affecting QoS and being associated to a specific resource (e.g., an application service, a network, a device).…”

“…To this regard, a Wireless QoS-aware Mobility (WiQoSM) model is proposed in [15]. The authors introduce a model which considers QoS, user mobility, user behavior and wireless technology.…”

A Novel Call Admission Control Policy Using Mobility Prediction and Throttle Mechanism for Supporting QoS in Wireless Cellular Networks

“…As a large number of bandwidths are required for multimedia services for wireless cellular networks, the most important issue is to support QoS for subscribers. Although there has been a rapid development in wireless cellular communications, the QoS guarantee remains one of the most challenging issues [3,4]. One of the key elements for providing QoS guarantees is an effective CAC policy, which not only has to ensure that the network meets the QoS of the newly arriving calls, but also guarantees that the QoS of the existing calls will not be degraded.…”

“…There have been so many studies, such as [4,9,10] which had focused on the issues of QoS guarantee. Furthermore, the effective user mobility and resource management were also mentioned in [11].…”