Abstract
Many studies in literature have shown that the bandwidth of an ongoing flow can dynamically change during multimedia sessions and an efficient bandwidth allocation scheme must be employed. This paper focuses its attention on the management of predictive services in Wireless Infrastructure Dynamic Networks. In particular, two classes of service are considered: NSIS-Mobility Independent Predictive and NSIS-Mobility Dependent Predictive, where NSIS is the Next Steps in Signaling protocol, employed for resources reservation in Integrated Services architectures. A general prediction technique is proposed, based both on the analysis of time spent into a cell by mobile nodes and on the probabilities of hand-in and hand-out events of mobile nodes from wireless cells. User mobility needs to be firstly analyzed and a novel realistic mobility model has been considered, differently from some existing works in which synthetic mobility is generated. The analysis of user mobility is mandatory when the reduction of passive resource reservations for NSIS-MIP users is desired, with a good enhancement in system utilization. Moreover, predictive reservation and admission control schemes have been integrated. The performance of the 2D wireless system is evaluated in terms of average system utilization, system outage probability, number of admitted flows and reservation prediction errors. We provided to carry out an extensive simulation campaign, in order to assess the goodness of the proposed idea: we verified that good results (in terms of perceived utility, bandwidth and admitted flows) can be obtained, outperforming also some existing works.
Highlights
Next Step In Signaling (NSIS) Mobility Independent Guaranteed (NSIS-MIG, which provides intolerant applications, with very stringent guarantees on packet delays and jitter); NSIS Mobility Independent Predictive (NSIS-MIP, dedicated to elastic real-time applications, able to work with some resource bounds); NSIS Mobility Dependent Predictive (NSIS-MDP, which can be compared with the best-effort class, subject to continuous QoS degradations and/or droppings)
The most important concept in Mobile Resource ReSerVation Protocol (MRSVP) is the set of proxy agents; there are two types of proxy agents: (a) local proxy agents, generally identified as the active cell in which a mobile host is making the service request; NSIS-MDP users make use of local proxy agents only; remote proxy agents, generally identified as the passive cells which will be probably visited by mobile hosts; NSIS-MIP make use of remote proxy agents in order to manage their passive requests remotely
There has been a lot of research and development in wireless networking, and the main aim has always been the mitigation of wireless effects, improving the quality of the offered services
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In addition to channel conditions, instantaneous user satisfaction level must be taken into account, in order to introduce a certain level of fairness, between flows that belong to the same service class This purpose is achieved by introducing utility functions [4], as a way to describe user satisfaction profiles based on the instantaneous quality of the perceived service. Routing protocols have great importance in the mobility in wireless network and new paradigms and technologies are used for managing the energy issues in this context such as swarm intelligence-based approaches [10].
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