Fuzzy Based Optimal QoS Constraint Services Composition in Mobile Ad Hoc Networks

In recent years, computational capability of mobile devices such as Laptops, mobile phones, PDAs, etc., are greatly improved. Implementation of SOA ("Service Oriented Architectures") in mobile ad hoc networks increases the flexibility of using mobile devices. On composing different available services to satisfy end user requirement is a critical challenge in MANETs ("Mobile Ad Hoc Network") due to dynamic topology, Resource heterogeneity, Band width constraint and highly distributed service providers. Existing composition services approaches are not suitable for MANETs due to lack of constraints consideration while choosing services. In this paper, we proposed Fuzzy based optimal QoS constrained Service Composition in MANETs. We consider Energy constraint, hop count, Response time & service throughput as QoS Constraints composing optimal services. We proposed fuzzy logic based system to provide rating to the services for optimal selection of services. We also considered that each node can provide one or more services. The service composition failure rate will be reduced by selecting optimal services in available services. The simulation result demonstrates that the proposed method outperformed than the traditional AODV in terms of average packet delay, energy constraint, throughput and turnaround time

Optimization of Video Streaming Quality in 802.16

Abstract- 802.16 also called WiMax is the latest wireless technology that is being used. Video streaming which is one among the multimedia applications is being tremendously used with the increased use of internet. In centralized networks such as WiMax the base station takes care of allocating the appropriate time or frequency slot for all the subscriber stations that are competing for the medium depending on the type of traffic that each subscriber station holds thereby providing quality of service support by differentiating among the traffic types. The traffic in WiMax is prioritized by the scheduling service that is employed at the MAC layer. However encoding video with efficient encoding codec’s is necessary for optimizing the video quality thereby minimizing the distortion at the receiver end. There may be several reasons for distortion in the video quality at the receiving end like transmission errors, loss of important video frames etc, However we concentrate only on the second one i.e. distortion due to loss of any important frames which would obviously result in deteriorating of the video quality at the receiver end. The system uses MPEG-4 for encoding the video. I Index Terms- WiMax, QOS, IEEE 802.16 and MPEG-