Data gathering capacity of large scale multihop wireless networks
Data gathering capacity of large scale multihop wireless networks
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DOI：
10.1109/mahss.2008.4660061
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
Benyuan Liu;D. Towsley;A. Swami
中科院分区：
文献类型：
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作者：
Benyuan Liu;D. Towsley;A. Swami
研究了大规模多跳无线网络数据收集容量的标度律。与以往研究中的数据通信模式不同，例如，多对多，多对一，广播和多播模式，数据收集能力涉及网络中每个源节点的吞吐量，其中一个子集的节点发送数据到一些指定的目的地，而其他节点作为中继。这种一些对一些的通信范例在许多无线网络中是常见的，例如无线网状网络和无线传感器网络，并且在某些情况下可能比其他范例更普遍。我们首先推导出的数据收集能力的上限和建设性的下限，然后研究其设计和性能的影响。我们的研究结果表明，数据收集能力受到不同的因素在几个不同的缩放制度的源节点和目的节点的数量，表现出不同的缩放规律，在这些制度。这项工作填补了空白，我们的理解能力的各种通信模式，并可以导致更好的网络规划和性能的数据收集无线网络应用程序。
This paper studies the scaling laws of the data gathering capacity of large scale multihop wireless networks. Unlike the data communication paradigms studied in previous research, for example, the many-to-many, many-to-one, broadcast, and multicast paradigms, the data gathering capacity concerns the per source node throughput in a network where a subset of nodes send data to some designated destinations while other nodes serve as relays. This some-to-some communication paradigm is commonplace in many wireless networks, for example, wireless mesh networks and wireless sensor networks, and in some cases perhaps more prevalent than the other paradigms. We first derive the upper and constructive lower bounds for the data gathering capacity, and then examine their design and performance implications. Our results show that the data gathering capacity is constrained by different factors in several different scaling regimes of the number of source and destination nodes, exhibiting distinct scaling laws in those regimes. This work fills a gap in our understanding of the capacity of various communication paradigms, and can lead to better network planning and performance for data gathering wireless network applications.