RSSI在多跳无线传感器网络中的数据聚合

A. Awang, Shobhit Agarwal
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引用次数: 0

摘要

在无线传感器网络(WSNs)中,传感器节点通常是大量高密度部署的。由于部署密集,感测数据往往是冗余且高度相关的。在资源受限的无线传感器网络中传输冗余数据是不现实的,特别是从节能的角度来看。数据聚合是减少网络负载从而降低传输能耗的关键解决方案。在这项工作中,我们提出了两种数据聚合机制(基于类和基于α),它们基于接收信号强度指示器(RSSI)聚合和路由数据包。每个节点维护一个相对于汇聚节点的RSSI值。当生成数据包时,聚合标识(Agg ID)与该数据包相关联。在基于RSSI的转发(RBF)中使用RSSI和Agg ID,当聚合和转发数据包时,我们倾向于靠近sink的节点。我们通过仿真展示了所提出的机制在标准化传输数、每个数据包消耗的能量、网络寿命和丢包概率方面的性能。
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Data aggregation using RSSI for multihop Wireless Sensor Networks
In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence reduces the transmission energy consumption. In this work, we propose two data aggregation mechanisms (class-based and alpha-based) that aggregate and route data packet based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a data packet is generated, an aggregation identification (Agg ID) is associated with that packet. Using the RSSI and Agg ID in RSSI-Based Forwarding (RBF), we favor nodes closer to sink when aggregating and relaying a data packet. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, energy consumed per data packet, network lifetime and packet loss probability.
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