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Energy Efficient Secured Data Routing Through Aggregation Node in WSN

机译:通过WSN中的聚合节点实现节能高效的数据路由

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In Wireless Sensor Networks (WSNs), energy consumption is the most challenging issue. The more energy is consumed during captured data transmission than the local data processing at sensor nodes. Because of this reason network lifetime is reduces. Sometimes attacker nodes are also responsible of energy wastage. Data aggregation technique is one of the solutions for this issues of network lifetime and energy loss. In this paper data aggregation technique is used for detecting attack and prevention technique. For collecting the data from the cluster head in the network, system used aggregator Node (AN). If the cluster head (CH) becomes attacker, then AN recover the data from all cluster members, So that the energy in not wasted and packet drop ratio is also minimized. Also, system makes use of the Iterative Filtering (IF) algorithm, which additionally gives trust evaluation to the numerous sources from where the information is aggregated. This IF algorithm is used to detect the Simple attack and Collusion attack on nodes. The proposed system can detect the attack on all nodes including cluster member, cluster head and aggregator node. Additionally this system check data truthfulness on cluster head when data is received from all cluster members. SHAl algorithm is used for integrity checking. Experimental results prove that the proposed system improves the energy utilization, memory management and security of data along with attack detection on CH.
机译:在无线传感器网络(WSN)中,能耗是最具挑战性的问题。与在传感器节点处进行本地数据处理相比,在捕获的数据传输过程中消耗的能量更多。因此,网络寿命缩短了。有时,攻击者节点还负责浪费能量。数据聚合技术是解决网络寿命和能量损失这一问题的解决方案之一。本文采用数据聚合技术来检测攻击和预防技术。为了从网络中的群集头收集数据,系统使用了聚合器节点(AN)。如果集群头(CH)成为攻击者,则AN会从所有集群成员中恢复数据,从而不会浪费能量,并且还将数据包丢包率降至最低。而且,系统利用了迭代过滤(IF)算法,该算法还对聚合信息的众多来源进行了信任评估。该IF算法用于检测节点上的Simple攻击和Collusion攻击。所提出的系统可以检测到对所有节点的攻击,包括群集成员,群集头和聚合器节点。另外,当从所有群集成员接收到数据时,此系统还会检查群集头上的数据真实性。 SHA1算法用于完整性检查。实验结果证明,该系统不仅提高了能量利用率,内存管理和数据安全性,还提高了对CH的攻击检测能力。

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