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Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks

机译:负载无线传感器网络连通性的最优半径

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摘要

We investigate the condition on transmission radius needed to achieveconnectivity in duty-cycled wireless sensor networks (briefly, DC-WSN). First,we settle a conjecture of Das et. al. (2012) and prove that the connectivitycondition on Random Geometric Graphs (RGG), given by Gupta and Kumar (1989),can be used to derive a weak sufficient condition to achieve connectivity inDC-WSN. To find a stronger result, we define a new vertex-based randomconnection model which is of independent interest. Following a proof techniqueof Penrose (1991) we prove that when the density of the nodes approachesinfinity then a finite component of size greater than 1 exists with probability0 in this model. We use this result to obtain an optimal condition on nodetransmission radius which is both necessary and sufficient to achieveconnectivity and is hence optimal. The optimality of such a radius is alsotested via simulation for two specific duty-cycle schemes, called thecontiguous and the random selection duty-cycle scheme. Finally, we design aminimum-radius duty-cycling scheme that achieves connectivity with atransmission radius arbitrarily close to the one required in Random GeometricGraphs. The overhead in this case is that we have to spend some time computingthe schedule.
机译:我们研究了在占空比无线传感器网络(简称DC-WSN)中实现连接所需的传输半径条件。首先,我们解决Das等人的一个猜想。等(2012年),并证明Gupta和Kumar(1989年)给出的随机几何图(RGG)上的连通性条件可用于推导在DC-WSN中获得连通性的弱条件。为了找到更好的结果,我们定义了一个新的基于顶点的随机连接模型,该模型具有独立的意义。遵循Penrose(1991)的证明技术,我们证明当节点的密度接近无穷大时,在该模型中存在大小大于1的有限分量,且概率为0。我们使用该结果来获得节点传输半径的最佳条件,该条件对于实现连接性既是必要的又是足够的,因此是最佳的。还通过仿真测试了两个连续占空比和随机选择占空比方案这两种半径的最佳性。最后,我们设计了一个最小半径的占空比循环方案,该方案以任意接近随机几何图所要求的传输半径的方式实现连通性。这种情况下的开销是我们必须花费一些时间来计算时间表。

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