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AN EFFICIENT SCHEME FOR DATA AGGREGATION WITH STAR-GRAPH HIERARCHICAL CLUSTERING STRUCTURE IN WIRELESS SENSOR NETWORKS

机译:无线传感器网络中与星形分层聚类结构的数据聚合的有效方案

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Collecting state-based data from a network of sensors in large-scale deployment wireless sensor networks environment and aggregating those data through prominent sensors necessitate efficient organization of the network topology for the purpose of balancing the load, lessening the energy consumption, and prolonging the system lifetime. In this paper, two types of nodes have been adopted: cluster head nodes (typel) and general sensor nodes (type 2). Typel nodes possess more battery energy and software and hardware facilities, therefore are suitable for serving as cluster heads. The authors propose a scheme to place type 1 nodes, which can play a role of aggregating, on some positions so as to consume minimal energy of type 1 and type 2 nodes. Through the process of self-organization and the method of specific naming in the pre-deployment phase, cluster head hierarchy can be constructed by those deployed type 1 nodes. Our simulation shows that our protocol can improve system lifetime compared with two level clustering or multi-level hierarchical clustering mechanism.
机译:从大规模部署无线传感器网络环境中的传感器网络中收集基于状态的数据,并通过突出传感器聚合这些数据,需要高效组织网络拓扑,以便平衡负载,减少能量消耗,延长系统寿命。在本文中,已经采用了两种类型的节点:群集头节点(Typel)和一般传感器节点(类型2)。 Typel节点具有更多的电池能量和软件和硬件设施,因此适合作为群集头部。作者提出了一种方案来放置类型1节点,这可以在某个位置上发挥聚合的作用,以便消耗1型和类型2节点的最小能量。通过自组织的过程和特定命名的方法在预部署阶段,群集头层级可以由部署的类型1节点构成。我们的仿真表明,与两个级别聚类或多级分层聚类机制相比,我们的协议可以提高系统生命周期。

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