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Emergent Behavior in Massively-Deployed Sensor Networks

机译:大规模部署的传感器网络中的紧急行为

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The phenomenal advances in MEMS and nanotechnology make it feasible to build small devices, referred to as sensors that are able to sense, compute and communicate over small distances. The massive deployment of these small devices raises the fascinating question of whether or not the sensors, as a collectivity, will display emergent behavior, just as living organisms do. In this work we report on a recent effort intended to observe emerging behavior of large groups of sensor nodes, like living cells demonstrate. Imagine a massive deployment of sensors that can be in two states "red" and "blue". At deployment time individual sensors have an initial color. The goal is to obtain a uniform coloring of the deployment area. Importantly, the sensors can only talk to sensors that are one-hop away from them. The decisions to change colors are local, based on what the sensors can infer from collecting color information from their neighbors. We have performed extensive simulations involving 20,000 sensors in an area of 100 m × 100 m. Our simulation results show that the sensor network converges to a stable uniform coloring extremely fast.
机译:MEMS和纳米技术的惊人进步使建造小型设备(称为能够在短距离上进行感应,计算和通信的传感器)成为可能。这些小型设备的大规模部署引发了一个令人着迷的问题,即传感器是否像集体生物一样会显示出突发的行为。在这项工作中,我们报告了最近的一项工作,旨在观察大型传感器节点的新兴行为,例如活细胞演示。想象一下,大量部署的传感器可能处于“红色”和“蓝色”两种状态。在部署时,各个传感器具有初始颜色。目的是获得部署区域的统一颜色。重要的是,传感器只能与距离它们一跳的传感器通信。更改颜色的决定是本地的,基于传感器可以从邻居那里收集颜色信息得出的结论。我们在100 m×100 m的区域内进行了20,000个传感器的广泛模拟。我们的仿真结果表明,传感器网络以极快的速度收敛到稳定的均匀着色。

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