Four-Layer Architecture Model for Energy Conservation in Wireless Sensor Networks

Sugam Sharma, S. Goyal, S. Qamar
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引用次数: 8

Abstract

We propose a Four-Layer Architecture Model (FLAM) to obtain the potential energy savings for sensor nodes in large scale wireless sensor networks. The very first layer, the bottom layer is a network of a resource-constrained sensor nodes deployed in the field. The second layer is ad hoc network formed by resource-rich dynamic sink nodes, also knows as cluster sink nodes. The third layer consists of resource-rich static sink nodes, known as zonal sink also, responsible for data collection from cluster sinks of its zone. The fourth (top) layer posses a resource-rich flying sink. We call this sink as hawk sink and is responsible for data collection from zonal 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 and continuously updates its zonal sink by propagating the collected data from the respective cluster. Each zonal sink buffers the collected data and propagates to hawk sink through query- response mechanism when later enters the transmission range of the zonal sink. Hawk sink is the one, responsible for data transmission from network environment to the base station. FLAM approach is scalable, 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.
无线传感器网络节能的四层体系结构模型
我们提出了一个四层架构模型(FLAM),以获得大规模无线传感器网络中传感器节点的潜在节能。第一层,最下面一层是部署在现场的资源受限的传感器节点网络。第二层是由资源丰富的动态汇聚节点组成的自组织网络,也称为集群汇聚节点。第三层由资源丰富的静态汇聚节点组成,也称为区域汇聚节点,负责从其所在区域的集群汇聚节点收集数据。第四层(顶层)拥有一个资源丰富的飞行汇。我们把这个汇称为鹰汇,负责收集区域性汇的数据。集群接收器可能距离静态传感器节点只有几跳,并移动到传感器节点附近收集数据,并通过传播来自各自集群的收集数据来不断更新其区域接收器。各区域sink将采集到的数据进行缓冲,并在后续进入区域sink的传输范围后,通过查询-响应机制向hawk sink传播。鹰式sink负责从网络环境到基站的数据传输。FLAM方法具有可扩展性,通过允许传感器仅在有限的传输范围内运行来延长传感器寿命,并且在集群接收器不断更新到区域接收器而无需查询时减少延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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