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On realizing distributed topology control in low-power IoT platforms

机译:在实现低功耗IOT平台中的分布式拓扑控制

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As current trends in distributed computing are enabling the vision of the Internet of Things (IoT), the necessity intensifies for addressing real-life aspects in massive scales. Energy efficiency remains a key design requirement for low-power IoT platforms, and distributed topology control techniques can yield the guidelines for optimizing the transmission power-connectivity nexus. In this work, we exploit previous theoretical results on necessary and sufficient conditions for establishing end-to-end connectivity, by introducing the notion of relative Delaunay neighbourhoods to computationally constrained hardware platforms. We implement the proposed approach on Contiki OS and we offer extensive emulation results, which highlight the scalability of our approach. Comparisons with benchmark solutions are offered to evaluate the performance of our framework in terms of achieved connectivity, memory demands, and energy efficiency.
机译:随着分布式计算的当前趋势正在支持事物互联网(物联网)的愿景,因此必须加强用于解决大规模尺度的现实方面。能效仍然是低功耗IOT平台的关键设计要求,分布式拓扑控制技术可以产生优化传输功率连接Nexus的指导。在这项工作中,我们通过将相对Delaunay社区的概念引入计算受限的硬件平台来利用以前的基于必要和充分条件的理论结果,以建立端到端连通性。我们在Contiki OS上实施了提出的方法,我们提供了广泛的仿真结果,突出了我们方法的可扩展性。提供与基准解决方案的比较,以评估我们在实现连接,内存需求和能效方面的框架的性能。

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