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Energy-aware Data Compression Framework for Mobile Devices
Mobile devices have strict resource limitations as compared to traditional personal computers. In a communications paradigm, the limitations of mobile devices are magnified especially while transferring huge amounts of data between two users. New network applications have caused Internet traffic to grow vigorously, almost doubling every year. Sending one bit over a wireless mobile card is more energy consuming than the execution of like 1000 CPU computations, so applying compression a priori to data sending, if applied appropriately, seems to be an energy saving scheme as fewer bits are sent. Our work is to come up with a novel compression framework that would exploit the gap of communication-to-computation energy ratio.
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Video Streaming over Wireless Networks
Video Streaming is considered over wireless mobile networks where intermediate nodes are able to forward packets to other intermediate nodes and/or clients. Our aim is to maximize the video quality and throughput. We assume that intermediate nodes can perform simple network coding operations (bit-wise XOR) and combine packets from several incoming streams to a single outgoing packet. This packet is broadcasted to the entire neighborhood. The receiving nodes will decode it to retrieve their intended packet. To achieve high throughput gains, the combined packets are selected in a way to maximize the number of nodes that can decode new packets.
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WaiWay: Location-based Service for Social Networking
We are currently envisioning the third wave of computing named pervasive computing that enables "calm technology" where the computing facility is integrated in one's physical environment. One of the main classes of the next generation applications in the pervasive computing era is location-aware services. Localizing or positioning people and objects is supported by various technologies, the famous of which is GPS (Global Positioning System). Other widely available technologies can as well be utilized for localization, namely Bluetooth and WiFi. These technologies are supported by almost all laptops and PDAs. In this work, we design and develop a location-based social networking service WaiWay (Where am I where are you) that makes use of WiFi positioning techniques to locate, contact, and chat with friends and other interesting people with similar interests and hobbies. The system has a friendly user interface that helps users to manage their accounts in an easy way, locate themselves and others in a fast way, and relocate themselves if they are on the move. The accuracy of the localization is within 2-3 meters.
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