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Accurate And Scalable Simulation Of Network Of Heterogeneous Sensor Devices

机译:异构传感器设备网络的精确可扩展仿真

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Simulation is an important tool to study and analyze sensor networks. Prior work in sensor network simulation focuses on homogeneous devices. In this paper, we present a system that performs scalable and accurate simulation of a network of heterogeneous sensor devices, including both Stargate intermediate level devices and mote devices. We study accuracy, performance, and scalability of our system. The results show that we can achieve accurate functional behavior for both standalone Stargate simulation and ensemble simulation of a Stargate and motes. For motes, we have less than 4.06% cycle count error for all benchmarks and for Stargate, we have less than 10% error for most benchmarks, and less than 12.5% error for all benchmarks. We also achieve less than 3.6% error for all benchmarks when simulating an ensemble of Stargate and motes. Our system is also more scalable than prior work. We can simulate 160 sensor nodes in real time speed and 2,048 sensor nodes with ten times slowdown on a 16-node cluster.
机译:仿真是研究和分析传感器网络的重要工具。传感器网络仿真的先前工作集中在同类设备上。在本文中,我们介绍了一个系统,该系统对异构传感器设备(包括Stargate中级设备和微粒设备)的网络进行可扩展且准确的仿真。我们研究系统的准确性,性能和可伸缩性。结果表明,对于独立的Stargate仿真和Stargate和尘埃的整体仿真,我们都可以实现准确的功能行为。对于微粒来说,所有基准的周期计数误差均小于4.06%,对于星际之门,大多数基准的误差均小于10%,所有基准的误差均小于12.5%。当模拟星际之门和尘埃的集合时,我们在所有基准测试中也都获得了不到3.6%的误差。我们的系统比以前的工作更具可扩展性。我们可以在16个节点的集群上实时模拟160个传感器节点,并以10倍的速度模拟2,048个传感器节点。

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