摘要
传统的虚假数据过滤方法存在无法均衡节点开销和过滤概率低下问题。为此,提出一种改进的虚假数据过滤方法。依据网络中节点能量的不均衡性构造成簇,通过节点的负载计算和密钥分发实现虚假数据过滤。仿真实验结果表明,该方法能均衡网络中节点的开销,提高虚假数据过滤概率。
Aiming at the problems that do not balance the node cost and the low filter probability of the traditional methods,this paper proposes an improved method of false data filtering.In this method,the cluster structure in Wireless Sensor Networks(WSN) is established by the unbalanced energy of nodes,and through computing the load of nodes and distributing the key,the false data is filtered.Simulation experimental results show that the proposed method can balance the cost of nodes,and improve the probability of false data filtering significantly.
出处
《计算机工程》
CAS
CSCD
2012年第5期158-160,共3页
Computer Engineering
关键词
无线传感器网络
虚假数据过滤
节点负载
密钥分发
开销均衡
Wireless Sensor Networks(WSN)
false data filtering
node load
keys distribution
overheads balance