A Study Of Data Transmission Based On Coding Strategies In Wireless Netwoks

Data transmission is the key function of all kinds of wireless networks. In this paper, we focus on the coding-based data transmission in wireless sensor networks and wireless two-way relaying networks. By associating the decimal degree with the codewords, and by using priority broadcast to exchange codewords, we aim to achieve a better performance of Growth Codes over a wider range of sensor networks applications. Bye generalizing the algorithm of two node communication rate control to the wireless two-way relay networks, we aim to enhance the accuracy of rate estimation.The design of Growth Codes is based on two assumptions:(1) each sensor node contains only one single-snapshot of the monitored environment, and each packet contains only one sensed symbol; (2) all codewords have the same probability to be received by the sink. We generalize the scenarios to include multi-snapshot and less random encounters.Meanwhile, the objective of many applications with the surveillance missions in wireless sensor networks is to provide long-term monitoring of the specific environments. These applications usually perform continuous monitoring without any maintenance, even if some sensor nodes fail. In this paper, we propose a novel coding-based approach, called CAP, to address this specific problem of data collection for distributed surveillance sensor networks in disaster-hit regions.We also address the rate control problem in wireless two-way relaying networks. We propose to generalize the constellation optimization based rate estimation approach to the Alice-Bob communication model.