保障监测时延的无线传感器网络感知调度算法

针对重点区域事件监测应用中,无线传感器网络需要满足不同监测时延要求,该文首先分析了点目标监测应用的时延下界,设计了多项式的最优自适应占空比分布式感知调度算法。在此基础上,设计了一个面向局部重点区域的事件监测分布式感知调度算法(LDSS)。LDSS具有较低的计算复杂度和通信复杂度。仿真结果显示,与现有的随机调度算法相比,LDSS能获得监测时延更接近于理论时延下界的性能。     

Rule‐Based Anomaly Detection Technique Using Roaming Honeypots for Wireless Sensor Networks

Because the nodes in a wireless sensor network (WSN) are mobile and the network is highly dynamic, monitoring every node at all times is impractical. As a result, an intruder can attack the network easily, thus impairing the system. Hence, detecting anomalies in the network is very essential for handling efficient and safe communication. To overcome these issues, in this paper, we propose a rule‐based anomaly detection technique using roaming honeypots. Initially, the honeypots are deployed in such a way that all nodes in the network are covered by at least one honeypot. Honeypots check every new connection by letting the centralized administrator collect the information regarding the new connection by slowing down the communication with the new node. Certain pre‐defined rules are applied on the new node to make a decision regarding the anomality of the node. When the timer value of each honeypot expires, other sensor nodes are appointed as honeypots. Owing to this honeypot rotation, the intruder will not be able to track a honeypot to impair the network. Simulation results show that this technique can efficiently handle the anomaly detection in a WSN.