Towards a Simple Relationship to Estimate the Capacity of Static and Mobile Wireless Networks
Towards a Simple Relationship to Estimate the Capacity of Static and Mobile Wireless Networks
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DOI：
10.1109/twc.2013.-71113.121276
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发表时间：
2013-06
影响因子：
10.4
通讯作者：
Guoqiang Mao;Zihuai Lin;Xiaohu Ge;Yang Yang-Yang
中科院分区：
文献类型：
--
作者：
Guoqiang Mao;Zihuai Lin;Xiaohu Ge;Yang Yang-Yang
人们对无线多跳网络的容量进行了广泛的研究。这些努力导致了许多关于特定网络容量的复杂和定制的分析研究。虽然大多数分析在智力上具有挑战性，但它们缺乏可以扩展到研究不同网络容量的通用属性。在本文中，我们筛选了各种影响容量的参数，并提出了一个简单的关系式，可以用来估计静态网络和移动网络的容量。具体地说，我们证明了网络容量由同时传输的平均次数、链路容量和将分组传送到其目的地所需的平均传输次数决定。我们的结果对有限网络和渐近无限网络都是有效的。然后，我们利用这一结果来解释和更好地理解已有的一些关于静态网络、移动网络和混合网络的容量以及多播容量的结果。使用上述关系的容量分析通常变得更简单。这种关系可以作为估计不同网络容量的有力工具。我们的工作为开发一种适用于各种不同场景的通用网络容量分析方法做出了重要贡献。
Extensive research has been done on studying the capacity of wireless multi-hop networks. These efforts have led to many sophisticated and customized analytical studies on the capacity of particular networks. While most of the analyses are intellectually challenging, they lack universal properties that can be extended to study the capacity of a different network. In this paper, we sift through various capacity-impacting parameters and present a simple relationship that can be used to estimate the capacity of both static and mobile networks. Specifically, we show that the network capacity is determined by the average number of simultaneous transmissions, the link capacity and the average number of transmissions required to deliver a packet to its destination. Our result is valid for both finite networks and asymptotically infinite networks. We then use this result to explain and better understand the insights of some existing results on the capacity of static networks, mobile networks and hybrid networks and the multicast capacity. The capacity analysis using the aforementioned relationship often becomes simpler. The relationship can be used as a powerful tool to estimate the capacity of different networks. Our work makes important contributions towards developing a generic methodology for network capacity analysis that is applicable to a variety of different scenarios.