Remote control service on the internet has found many applications such as remote teaching service and industry applications. Our research is not like the traditional method which sends image frames to network users. Instead, we only send the mouse and keyboard message. Our research is composed of two techniques: one is to connect computer¡¦s mouse and keyboard message with virtual device driver, and the other is to provide network function and interface with Win32 application. The accomplishment of virtual device driver is achieved by VxD and Win32 API. We compare our method with other traditional methods in both local network and 56K Modem to test the possibility of remote teaching service. The transmission amount is reduced significantly by our method. Also, the remote teaching service using our method has been successfully performed at 56K modem network environment without the delay phenomenon as shown in the test by the traditional method.

This thesis provides an implementation of consensus of multi-agent networked systems. Consensus problem is an important issue of distributed computing and has various algorithms and applications in the field of electronical and computer science. The consensus requests all nodes of a network reach an agreement over a certain measurement. An algorithm of convergent consensus problem is implemented through a small network of Bluetooth communication in the thesis. The connections of the Bluetooth devices are wireless, and the device nodes of the network are driven by C++ software and Winsock API. The simulation results show that the implementation completes all the requirements of the distributed consensus algorithm.

While there has always been a tremendous demand for streaming video over TCP/IP networks, the nature of the application still presents some challenging issues. These applications that transmit multimedia data over best-effort networks like the Internet must cope with the changing network behavior; specifically, the source encoder rate should be controlled based on feedback from a channel estimator that probes the network periodically. First, one such Multimedia Streaming TCP-Friendly Protocol (MSTFP) is considered, which iteratively integrates forward estimation of network status with feedback control to closely track the varying network characteristics. Second, a network-adaptive embedded bit stream is generated using a r-domain rate controller. The conceptual elegance of this r-domain framework stems from the fact that the coding bit rate ) (R is approximately linear in the percentage of zeros among the quantized spatial transform coefficients ) ( r , as opposed to the more traditional, complex and highly nonlinear ) ( Q R characterization. Though the r-model has been successfully implemented on a few other video codecs, its application to the emerging video coding standard H.264 is considered. The extensive experimental results show thatrobust rate control, similar or improved Peak Signal to Noise Ratio (PSNR), and a faster implementation.