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Rate allocation for maximizing lifetime of data gathering tree without aggregation in wireless sensor networks

机译:在无线传感器网络中进行速率分配以最大化数据收集树的生命周期而不进行聚合

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Different from data aggregation, in the process of transmitting data without aggregation from leaf node to the sink, the size of the integrated data increases. In this paper, we define that the lifetime of the node is the rounds of transmitting integrated data, which includes its own data and the received data from its children, in view of the feature of data gathering without aggregation. For different rate allocation for sensor nodes will result in the different lifetime of the network, we propose the approach on dealing with rate allocation for constructing maximum lifetime data gathering tree without aggregation in wireless sensor networks. Our algorithm, which denotes as RMLTT (Rate allocation for constructing Maximum-Lifetime data gathering Tree wiThout aggregation), approximately allocates the optimal data rates for sensor nodes with the goal to prolong the lifetime of the network as possible as it can. Simulations show that our approach is effective, which is compared with other algorithm.
机译:与数据聚合不同,在不从叶节点到接收器传输数据而没有聚合的过程中,集成数据的大小会增加。在本文中,鉴于无需聚集的数据收集功能,我们将节点的生存期定义为传输集成数据的轮次,其中包括其自身的数据和从其子级接收的数据。针对传感器节点的不同速率分配将导致网络的生命周期不同,我们提出了一种处理速率分配的方法,以构建最大寿命数据收集树,而无需在无线传感器网络中进行聚合。我们的算法表示为RMLTT(用于构建不带聚合的最大生命周期数据收集树的费率分配),它近似地为传感器节点分配了最佳数据速率,目的是尽可能延长网络的寿命。仿真结果表明,与其他算法相比,该方法是有效的。

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