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首页> 外文期刊>Indian Journal of Science and Technology >Link Aware Data Aggregation Mechanism Based on Passive Clustering in Wireless Sensor Network
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Link Aware Data Aggregation Mechanism Based on Passive Clustering in Wireless Sensor Network

机译:无线传感器网络中基于被动聚类的链路感知数据聚合机制

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摘要

In Wireless Sensor Network (WSN) each node must report to the Base Station (BS) with the frequency that the BS demands (Nre). The paper proposes Enhanced Link aware Data Aggregation Mechanism (LDAM), an energy efficient data gathering algorithm that elects the Cluster Head (CH) and Gateway (GW) nodes based on the Predicted Transmission Count (PTC) that depends on the residual energy, forward and reverse delivery ratio. Once the clusters are formed, nodes calculate their distance(d) from CH based on which the nodes take-in varied transmission power. Based on the nodes weight, CH and GW are re-elected periodically and this enhances the nodes lifetime. Algorithm is simulated with varied number of nodes in the network, results prove to be efficient than LCM algorithm with respect to delivery ratio, energy consumed and average delay.
机译:在无线传感器网络(WSN)中,每个节点必须以BS要求的频率(Nre)向基站(BS)报告。本文提出了增强型链接感知数据聚合机制(LDAM),这是一种节能数据收集算法,该算法根据依赖于剩余能量的预测传输计数(PTC)来选择簇头(CH)和网关(GW)节点,和反向投放比例。一旦形成集群,节点就根据节点计算的传输距离来计算其与CH的距离(d)。根据节点的权重,定期重选CH和GW,从而延长了节点的使用寿命。在网络中节点数目变化的情况下对算法进行了仿真,结果证明,在传输率,能量消耗和平均延迟方面,该算法比LCM算法更有效。

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