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A clustering/multi-hop hybrid routing method for Wireless Sensor Networks with heterogeneous node types

机译:具有异构节点类型的无线传感器网络的集群/多跳混合路由方法

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In recent years, Wireless Sensor Network (WSN) which consists of a large number of sensor nodes having wireless communication and self-organizing capability receives much attention. The design of protocols for such networks has to be energy aware in order to prolong the lifetime of the network. Multi-hop and clustering communication are most efficient routing methods in WSN. Multi-hop communication methods are preferable for traffic distribution in small and dense areas. To the contrary, it is not suitable for wide area WSN due to lack of extensibility. Clustering is one of the promising techniques for WSN because of its good scalability and the support for data aggregation. Though, cluster heads around the sink tend to have heavy traffic. In recently focused heterogeneous WSN models, by introducing a few special nodes with high-end communication capability and extra battery energy, the hardware cost of the rest of the network and communication cost of the sensing nodes can be reduced. In this paper, we propose a robust hybrid routing method for heterogeneous WSN which adaptively combines clustering and multi-hop communication methods which is nodes placed near to sink perform a multi-hop network (multi-hop zone) and nodes far away from sink perform clusters. Furthermore, we approximately analyze spatial boundary between both methods. Simulation results show that our method significantly increases network lifetime in comparison with pure clustering and multi-hop communication methods.
机译:近年来,由大量具有无线通信和自组织能力的传感器节点组成的无线传感器网络(WSN)备受关注。为了延长网络的寿命,用于这种网络的协议的设计必须是能量敏感的。多跳和群集通信是WSN中最有效的路由方法。多跳通信方法更适合在小而密集的地区进行流量分配。相反,由于缺乏可扩展性,它不适用于广域WSN。集群是WSN的一项有前途的技术,因为它具有良好的可伸缩性和对数据聚合的支持。但是,水槽周围的簇头往往交通繁忙。在最近关注的异构WSN模型中,通过引入一些具有高端通信能力和额外电池能量的特殊节点,可以降低其余网络的硬件成本和传感节点的通信成本。在本文中,我们为异构WSN提出了一种鲁棒的混合路由方法,该方法自适应地结合了群集和多跳通信方法,该方法是将靠近接收器的节点执行多跳网络(多跳区域),而远离接收器的节点执行多跳网络。集群。此外,我们大致分析了这两种方法之间的空间边界。仿真结果表明,与纯聚类和多跳通信方法相比,我们的方法显着提高了网络寿命。

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