Performance Analysis of Energy Efficient Cluster Based Heterogeneous Wireless Sensor Network against Malicious Attack

M. Lakshmi, C. Prashanth
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引用次数: 1

Abstract

In a distributed Wireless communication technology, sensor networks have been proposed for use in many applications such as environmental monitoring and surveillance. Due to the different computing power, sensing range and different ability, the deployment and topology in Heterogeneous WSN(HWSN) is complex compared to Homogeneous WSN. Clusters are formed in Heterogeneous Wireless Sensor Network and Cluster Head (CH) is selected based on the Initial Energy and Residual Energy with Low Draining Rate (RELDR). Data from the cluster members are sensed, aggregated and summarized by cluster head, processed between the clusters. A node in a network called Cluster Authority (CA) works as a supervising node that has remove list which collects the attacker information. A concept using Multiple Inputs and Multiple Outputs (MIMO) is implemented in the work which reduces the noise and improves the network performance. The algorithm detects the Blackhole nodes and removes from the network which is listed in the remove list of CA. The network is reconstructed using the legitimate nodes and cluster head selection is based on the Residual energy in the next rounds. Experimental results will be analyzed for the parameters Packet Delivery Ratio, Throughput, End to End Delay, Overhead and Energy. Performance analysis is done with the existing system using Single Input and Single Output(SISO).
基于高能效集群的异构无线传感器网络抗恶意攻击性能分析
在分布式无线通信技术中,传感器网络已被提出用于许多应用,如环境监测和监视。由于计算能力、感知范围和能力的不同,异构wssn (HWSN)的部署和拓扑结构都比同构WSN复杂。在异构无线传感器网络中形成簇,并根据初始能量和低耗尽率剩余能量(RELDR)选择簇头(CH)。来自集群成员的数据由集群头感知、聚合和汇总,并在集群之间进行处理。网络中的CA (Cluster Authority)节点作为监督节点,具有收集攻击者信息的移除列表。在工作中实现了多输入多输出(MIMO)的概念,降低了噪声,提高了网络性能。该算法检测出黑洞节点,将CA移除列表中列出的节点从网络中移除,使用合法节点重构网络,并根据下一轮的剩余能量选择簇头。实验结果将分析包传送率、吞吐量、端到端延迟、开销和能量等参数。使用单输入单输出(SISO)对现有系统进行性能分析。
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