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Three-Layer Architecture Model (TLAM) for Energy Conservation in Wireless Sensor Networks

机译:无线传感器网络节能的三层建筑模型(TLAM)

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We propose a Three-layer architecture model (TLAM) for wireless sensor networks. The first layer (bottom layer) consists of a network of resource-constrained sensor nodes deployed in the field. The second layer contains a set of resource-rich dynamic sink nodes forming an ad hoc network. The sinks at layer second are responsible to monitor and collect data from a region, called cluster. So the sinks at second layer are also knows as cluster sinks. At the third layer, there is a resource-rich static sink, known as zonal sink also, responsible for data collection from cluster sinks. A cluster sink may be few hops away from a static sensor node and moves to the vicinity of sensor nodes to collect the data. Each cluster sink continuously updates the zonal sink by propagating the collected data from the respective cluster. The zonal sink buffers the collected data and propagates to base station. Zonal sink is the one, responsible for data transmission from network environment to the base station, where the data is processed for further use. TLAM approach is robust, increases sensor life by allowing them to operate with a limited transmission range only and provides reduced delay as cluster sink continuously updates to zonal sink without query.
机译:我们为无线传感器网络提出了一个三层架构模型(TLAM)。第一层(底层)由部署在该字段中的资源受限传感器节点的网络组成。第二层包含一组富有的资源丰富的动态宿节点,形成ad hoc网络。第二层的下沉负责监视和收集来自称为群集的区域。因此,第二层的汇款也知道为集群汇。在第三层,有一个资源丰富的静态接收器,也称为区域沉积,负责来自集群汇的数据收集。群集宿槽可以远离静态传感器节点的跳跃,并移动到传感器节点附近以收集数据。通过从各个群集传播收集的数据,每个簇接收器连续更新区域宿。区间汇缓冲收集的数据并传播到基站。 Zonal汇是一个,负责从网络环境到基站的数据传输,其中处理数据以进一步使用。 TLAM方法是稳健的,通过允许它们仅使用有限的传输范围来运行传感器寿命,并且随着集群宿地连续更新到Zonal下沉而无需查询,可以降低延迟。

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