OPTIMIZING THE INTERMEDIATE NODES TO PROCESS QUERY IN CELLULAR NETWORKS

Abstract

Mobile applications has thus emerged for providing a better quality of experience for the end users a user clicks a picture or shoots a video of a desired object-a building, painting in a museum, a CD cover, or a movie poster through a camera mobiles. The video or image is then processed and sent over the network to an application server (AS) hosting a structured of images. The more query image is then equal with a suitable entry and the resulting content-object information, location, title songs from a CD, or movie trailer-is then streaming back to the user. The processing of query image or video on the phone often involves computationally demanding processes like pattern recognition, background extraction, quality extraction, and feature matching which when done often can diminish the battery lifetime of the mobile device. Comparably running a text to speech conversion application or an OCR engine for usage scenarios such as listening to a book on mobile device while driving or text extraction from pictures is computationally and battery intensive. Several wireless carriers have also reported a staggering increase in data traffic over mobile networks because of unprecedented use of mobile data applications. The transmission latency on the provide will be higher as larger query data are transmitted through the network. Thus, there is a built-in trade-off between battery usage and latency. As mobile devices become more experienced with higher resolution image and video capacity, the query data will continue to grow resulting in more demand for intelligent navigation of this trade-off.
Index Terms: Dynamic programming (DP), Intermediate nodes in Cellular Networks, Mid-Network nodes, Equipment