ABSTRACT3 D multimedia provides an exclusive mix of multimedia and communication design process, design of 3D animation media and virtual reality, and 3D media connected with real and virtual studio and on-location multimedia evolution. It not only focuses on the practice and theory of the technical tools and techniques required for creating 3D,but also on the creative art and design aspects of digital media, collective real and virtual reality media through the creation of design and technology skills, understanding and knowledge. The introductory International Workshop on Hot Topics in 3D multimedia was held in Singapore, in July 2010, in association with the IEEE International Conference on Multimedia. This Conference was sponsored by four different IEEE societies; International Conference on Multimedia and Expo is the IEEE flagship conference on Multimedia Technology. Hot3D was an animated workshop participated, with a remarkable compilation of papers screening different aspects of 3D multimedia Technique. Therefore, this report assembles some of the consequences offered at the workshop that will be more effective in future.

A mobile ad hoc network is a collection of wireless nodes that can dynamically be set up anywhere and anytime without using any pre-existing network infrastructure. Several algorithms like Lowest ID, Least Cluster-head Change, Highest in-degree, Weighted Clustering Algorithm, IWCA, neural network based etc. have been proposed for clustering of nodes. They do not examine the combined effect of parameters like battery power, neighbours of node and mobility on cluster formation. Although these factors can be considered as inputs to a neural network, training the network and choosing the training algorithm is a computationally intensive hence time consuming step. In this research we address this issue by calculating computing a computationally un-intensive factor for deciding cluster-heads. This factor works in any environment and takes into account environmental changes, hence proving useful when nodes are added or subtracted dynamically from the ad-hoc network. This factor calculation could easily be built into software and can be deployed for cluster-head calculation in any ad-hoc environment with no underlying assumptions. Since we need fast calculations when the clusters change in the ad-hoc environment, coming up with a deciding factor which we can calculate fast and efficiently prevent connection breaks, dropped packets, and routing anomalies.