基于网络编码的无线传感网F-CS_n汇播增益的研究

The benefit of network coding-based F-CS_n convergecast in wireless sensor networks

在无线传感器网络(WSNs)中网络编码是一个研究热点,主要集中在单播模式、多播模式和广播模式。而汇播模式是无线传感器网络中很常见的通信模式并且相关的研究工作还很少。为了研究网络编码在汇播模式中的编码增益,提出了一种新的汇播模式F-CSn模型网络(完全型)。从理论上推导出了采用线性网络编码的优势、仿真证明了理论推导的准确性、和Tang等提出的CSn模型网络(非完全型)进行比较证明F-CSn模型网络(完全型)具有更多的可靠性增益。最终结论显示F-CSn模型网络(完全型)是更具有普遍性、适用性、更加提高网络传输可靠性的网络编码模型。

Network Coding has attracted significant attention in Wireless Sensor Networks （WSNs） in recent years. And most work focuses on unicast, multicast and broadcast. But convergecast is the most common communication style in WSNs and the study about it is still very few. In order to study the benefit of network coding in convergecast, we put forward a Full-CSn model which is new to CSn model that put forward by Tang et al. We derive the advantage of using linear network coding, and the simulation validates the theoretical analyses. We compare the performance of Full-CSn with CSn mode. The results show that Full-CSn is more universal, more applicable, and can obtain more benefits of reliability.