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Murphy loves CI: Unfolding and improving constructive interference in WSNs

机译:墨菲(Murphy)喜爱CI:在无线传感器网络中不断发展和改善建设性干扰

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Constructive Interference (CI) phenomenon has been exploited by Glossy, a mechanism for low-latency and reliable network flooding and time synchronization for wireless sensor networks. Recently, CI has also been used for other applications such as data collection and multicasting in static and mobile WSNs. These applications base their working on the high reliability promised by Glossy regardless of the physical conditions of deployment, number of nodes in the network, and unreliable wireless channels that may be detrimental for CI. There are several works that study the working of CI, but they present inconsistent views. We study CI from a receiver's viewpoint, list factors that affect CI and also specify how and why they affect. We validate our arguments with results from extensive and rigorous experimentation in real-world settings. This paper presents comprehensive insights into CI phenomenon. With this understanding, we improve the performance of CI through an energy-efficient and distributed algorithm. We cause destructive interference on a designated byte to provide negative feedback. We leverage this to adapt transmission powers. Compared to Glossy, we achieve 25% lesser packet losses while using only half of its transmission power.
机译:构造干扰(CI)现象已被Glossy开发,Glossy是一种用于无线传感器网络的低延迟,可靠的网络泛滥和时间同步的机制。最近,CI也已用于其他应用程序,例如静态和移动WSN中的数据收集和多播。这些应用程序的工作基于Glossy承诺的高可靠性,而不管部署的物理条件,网络中的节点数以及不可靠的无线通道(可能对CI不利)。有几篇研究CI的著作,但是他们提出的观点不一致。我们从接收者的角度研究CI,列出影响CI的因素,并指明影响方式和原因。我们通过在真实环境中进行大量严格实验得出的结果来验证我们的论点。本文对CI现象提供了全面的见解。有了这种理解,我们就可以通过高效节能的分布式算法来提高CI的性能。我们在指定字节上造成破坏性干扰,以提供负面反馈。我们利用它来适应传输功率。与Glossy相比,我们仅使用其一半的传输功率就能将数据包丢失减少25%。

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