As wireless and mobile networks have widely adpoted due to their convenient deployment, the research for improving their performance has been actively conducted. Wireless mobile networks tend to drop a large portion of packets due to propagation error...
As wireless and mobile networks have widely adpoted due to their convenient deployment, the research for improving their performance has been actively conducted. Wireless mobile networks tend to drop a large portion of packets due to propagation errors. For improving performance over noisy wireless channels, mobile wireless networks employ for error correction(FEC) techniques. The performance of static FEC algorithm, however, degrades by poorly matching the overhead of their correction code to the degree of the underlying fluctuating channel error. This paper proposes an Dynamic FEC technique, which can dynamically tune FEC strength to the currently estimated channel error rate. And Communication over a wireless networks channel is faced with much more frequent errors of supposedly different error characteristics, compared to errors in wired networks. Understaning these error characteristics is important for many purpose, for simulation-based performance evaluation. This paper analyzes the bit trace collected from real sensor channels exhibiting the high bit error rate to determine the appropriate sensor model. It also evaluates the behavior of error recovery algorithms such as a link layer FEC algorithm over the measured sensor channel including several existing channel models.