无线传感器网络流量的冗余抑制机制研究

摘要

Redundancy suppression is a network traffic compression technique by caching recurring transmission contents at receiving nodes, avoids repeatedly sending duplicate data. Existing implementations require abundant memory both to analyze recent traffic for redundancy and to maintain the cache. Wireless sensor nodes at the same time cannot provide such resources due to hardware constraints.The diversity of protocols and traffic patterns in sensor networks furthermore makes the frequencies and proportions of redundancy in traffic unpredictable. Such difficulties made us devise a novel protocol that conducts a probabilistic traffic analysis to identify and cache only the subset of redundant transfers that yields most traffic savings. Verified this approach to perform close enough to a solution built on exhaustive analysis and unconstrained caching to be practicable.%冗余抑制是一种通过在接收节点缓存频繁传输的内容以避免多次发送重复数据的网络流量抑制技术.现有的解决方式需要有大量的内存,用于分析当前冗余流量并维持缓存.由于硬件的限制,无线传感器节点在同一时刻不能够提供相应的资源;协议和通信模式的多样性还使得通信中冗余发生的频率及其所占比例难以预测.因此,给出了一种改进的冗余抑制协议,通过概率流量分析以确定和缓存那些造成最多流量储存的冗余传输子集,实现性能表现接近于建立在全面分析和无约束缓存基础上的冗余抑制解决方案.