包静力学:作为静电问题的大规模密集传感器网络的部署

S. Toumpis, L. Tassiulas
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引用次数: 102

摘要

我们研究了在传感器网络中可以传输给定流量的无线节点的空间分布,同时需要最少数量的无线节点。流量是在空间分布的一组源上创建的,并且必须到达空间分布的一组汇点。在物理层和介质访问控制(MAC)层的一般假设下,节点的最优分布引起的交通流与用适当的电荷分布代替流量源和流量集时所存在的静电场相同。静电学和无线传感器网络之间的这种类比可以以许多不同的方式进行扩展。例如,关于导体上电荷分布的汤姆逊定理给出了当我们在初始位置上有有限自由度时,流量源和汇点的最佳分布(即所需节点的数量最小化)。具有诺伊曼边界条件和具有不同类型介电材料的拓扑结构的静电问题也可以在无线传感器网络的背景下解释。这种类比也有重要的局限性。例如,如果我们移动到三维拓扑,相应地调整我们对物理层和MAC层的一般假设,或者我们停留在二维平面但使用更适合超宽带通信的替代假设,则最佳流量分布通常不是无旋转的,因此不能解释为静电场。最后,这个类比不能扩展到包括支持多种类型流量的网络。
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Packetostatics: deployment of massively dense sensor networks as an electrostatics problem
We investigate the spatial distribution of wireless nodes that can transport a given volume of traffic in a sensor network, while requiring the minimum number of wireless nodes. The traffic is created at a spatially distributed set of sources, and must arrive at a spatially distributed set of sinks. Under a general assumption on the physical and medium access control (MAC) layers, the optimal distribution of nodes induces a traffic flow identical to the electrostatic field that would exist if the sources and sinks of traffic were substituted with an appropriate distribution of electric charge. This analogy between electrostatics and wireless sensor networks can be extended in a number of different ways. For example, Thomson's theorem on the distribution of electric charge on conductors gives the optimal distribution of traffic sources and sinks (that minimizes the number of nodes needed) when we have a limited degree of freedom on their initial placement. Electrostatics problems with Neumann boundary conditions and topologies with different types of dielectric materials can also be interpreted in the context of wireless sensor networks. The analogy also has important limitations. For example, if we move to a three dimensional topology, adapting our general assumption on the physical and MAC layers accordingly, or we stay in the two dimensional plane but use an alternative assumption, that is more suited to ultra wide band communication, the optimal traffic distribution is not in general irrotational, and so can not be interpreted as an electrostatic field. Finally, the analogy cannot be extended to include networks that support more than one type of traffic.
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