High Quality Multimedia Streaming Up Sampler for Android Platform MobWS

In modern era internet is fastest mean of digital transportations and use of mobile devices is emerging to access digitized data, multimedia, sports, videos, TV shows, websites etc. from anyplace, anytime. Also people can share live videos mobile to mobile. However, existing methods are having limitations of resources like bandwidth is shared among different clients, which is resulted into drawback of video streaming. Many new mobile devices with high hardware configuration are present in market to support the high resolution by Apple, Sony, Micromax, Google, etc. but because of low resolution in multimedia streaming it will not support to these new mobile devices. This can result into introduction of visual distortion and artefacts. Thus, to provide high quality video streaming and optimized Mobile Web Service (MobWS) with more ease for mobile devices, method is proposed. This investigated approach is to enable the hosting of WebPages with live videos on android smart phones and bridges resolution gap between end user mobile device and multimedia streaming. This up sampling system is designed to evaluate high-quality multimedia streaming onto mobile phones. That is real time video broadcasting and synchronizing to client device with high resolution, to be done with less computation time as compared to previous approaches

Bandwidth-guaranteed multicast in multi-channel multi-interface wireless mesh networks

Proceedings of the IEEE International Conference on Communications, 2009, p. 1-5We consider multi-channel multi-interface wireless mesh networks with a schedule-based MAC protocol, where conflict-free transmission is ensured by requiring links assigned with the same channel and within the mutual interference range of each other to be active at different time slots. When a (point-to-multipoint) multicast call arrives, the call is accepted if a multicast distribution tree can be established for connecting the source node with all the receiving nodes, and with sufficient bandwidth reserved on each link. Otherwise, the call is rejected. To maximize the call acceptance rate, the multicast tree must be constructed judiciously upon each call arrival. Aiming at minimizing the carried load on the most-heavily loaded channel, and maximizing the residual capacity of the most heavily loaded node, an integer linear program (ILP) is formulated for multicast tree construction. Since solving ILP can be time-consuming, an efficient heuristic algorithm is then proposed. We compare the two tree construction algorithms by simulations. We found that both algorithms give comparable call acceptance rate, but the heuristic algorithm requires much shorter running time. ©2009 IEEE.published_or_final_versio

Enhancement of Network Life Time using Binary Tree Based Multicast Routing Protocol for Mobile Ad hoc Network

A mobile ad hoc network (MANET) is an interconnected system of mobile hosts without a fixed infrastructure. In MANETs, each mobile host has multi-hop transmission capability, and it has to serve as a router. Owing to the dynamic topology and limited resources of mobile hosts, the routing scheme in MANETs presents an important challenge. In this study, a Enhancement of Network Life Time using Binary Tree Based Multicast Routing Protocol for MANET is proposed. In this proposed scheme, all nodes are randomly classified into two types, group-1 and group-2. To achieve the load balance, two multicast trees (tree-1 for group-1 and tree-2 for group-2) are constructed. The proposed system mainly focused on maintaining route stability. Thus proposed system outperform AOMDV version of AODV in term of Performance evaluation metrics such as packet delivery ratio, control overhead , Network life time, Normalized delay

Data distribution in a wireless environment with migrating nodes

The introduction of mobile wireless devices brings unique challenges for distribution of data to many devices simultaneously. An optimizing multicast methodology called Probabilistic Multicast Trees (PMT) is extended to handle mobile wireless devices. We will show that PMT multiple tree multicast system is well suited to this mobile dynamic environmentFacultad de Informátic

Probabilistic Multicast Trees

Delivery of the same data content to many clients simultaneously over the Internet continues to be a challenging problem. Multicasting using a single tree structure for data distribution has been shown to be an effective methodology for distribution of data. Using the tree structure to distribute data relieves the source node from the burden of trying to unicast to each client and is efficient because the data delivery burden is distributed over all the participating client nodes. Using multiple tree multicasting further distributes the transmission burden over more participating client nodes and it improves the efficiency of the data distribution. Multiple multicast trees can also be used to manage dynamic behavior of the underlying network. We introduce a methodology which improves data delivery latency and efficiency upon current multiple tree multicast methods. This methodology incorporates a feedback mechanism, randomness and a weighted tree selection mechanism to determine the most efficient multicast tree for multicastingFacultad de Informátic

Maximizing multicast call acceptance rate in multi-channel multi-interface wireless mesh networks

In this paper, we consider the problem of constructing bandwidth-guaranteed multicast tree in multi-channel multi-interface wireless mesh networks. We focus on the scenario of dynamic multicast call arrival, where each call has a specific bandwidth requirement. A call is accepted if a multicast tree with sufficient bandwidth on each link can be constructed. Intuitively, if the carried load on both the most-heavily loaded channel and the most-heavily loaded node is minimized, the traffic load in the network will be balanced. If the network load is balanced, more room will be available for accommodating future calls. This would maximize the call acceptance rate in the network. With the above notion of load balancing in mind, an Integer Linear Programming (ILP) formulation is formulated for constructing bandwidth-guaranteed tree. We show that the above problem is NP-hard, and an efficient heuristic algorithm called Largest Coverage Shortest-Path First (LC-SPF) is devised. Simulation results show that LC-SPF yields comparable call acceptance rate as the ILP formulation, but with much shorter running time. © 2010 IEEE.published_or_final_versio