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Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks

机译:占空比无线传感器网络中连接的最佳半径

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We investigate the condition on transmission radius needed to achieve connectivity in duty-cycled wireless sensor networks (briefly, DC-WSNs). First, we settle a conjecture of Das et al. [2012] and prove that the connectivity condition on random geometric graphs (RGGs), given by Gupta and Kumar [1989], can be used to derive a weakly sufficient condition to achieve connectivity in DC-WSNs. To find a stronger result, we define a new vertex-based random connection model that is of independent interest. Following a proof technique of Penrose [1991], we prove that when the density of the nodes approaches infinity, then a finite component of size greater than 1 exists with probability 0 in this model. We use this result to obtain an optimal condition on node transmission radius that is both necessary and sufficient to achieve connectivity and is hence optimal. The optimality of such a radius is also tested via simulation for two specific duty-cycle schemes, called the contiguous and the random selection duty-cycle schemes. Finally, we design a minimum-radius duty-cycling scheme that achieves connectivity with a transmission radius arbitrarily close to the one required in random geometric graphs. The overhead in this case is that we have to spend some time computing the 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,我们解决了Das等人的一个猜想。 [2012]并证明Gupta和Kumar [1989]给出的随机几何图(RGG)的连通性条件可用于推导在DC-WSN中获得弱连通性的条件。为了找到更好的结果,我们定义了一个独立的,基于顶点的新随机连接模型。遵循Penrose [1991]的证明技术,我们证明了当节点的密度接近无穷大时,在该模型中存在大于1的有限分量,且概率为0。我们使用此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。还通过仿真对两个特定的占空比方案(称为连续和随机选择占空比方案)进行了测试,测试了这种半径的最佳性。最后,我们设计了一种最小半径的占空比设计方案,该方案可以实现与传输半径任意接近随机几何图形中所要求的半径的连通性。在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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