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On the Construction of Data Aggregation Tree with Minimum Energy Cost in Wireless Sensor Networks: NP-Completeness and Approximation Algorithms

机译:无线传感器网络中能耗最小的数据聚合树的构建:NP完备性和近似算法

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摘要

In many applications, it is a basic operation for the sink to periodically collect reports from all sensors. Since the data gathering process usually proceeds for many rounds, it is important to collect these data efficiently, that is, to reduce the energy cost of data transmission. Under such applications, a tree is usually adopted as the routing structure to save the computation costs for maintaining the routing tables of sensors. In this paper, we work on the problem of constructing a data aggregation tree that minimizes the total energy cost of data transmission in a wireless sensor network. In addition, we also address such a problem in the wireless sensor network where relay nodes exist and consider the cases where the link quality is not perfect. We show that these problems are NP-complete and propose O(1) -approximation algorithms for each of them. Simulations show that the proposed algorithms have good performance in terms of energy cost.
机译:在许多应用中,接收器定期从所有传感器收集报告是一项基本操作。由于数据收集过程通常会进行很多轮,因此有效收集这些数据非常重要,即降低数据传输的能源成本。在这种应用下,通常采用树作为路由结构,以节省维护传感器路由表的计算成本。在本文中,我们致力于构建一个数据聚集树的问题,该树可以最大程度地减少无线传感器网络中数据传输的总能源成本。此外,我们还在存在中继节点的无线传感器网络中解决了此类问题,并考虑了链路质量不理想的情况。我们表明这些问题是NP完全的,并为每个问题提出O(1)近似算法。仿真表明,所提出的算法在能源成本方面具有良好的性能。

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