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Throughput-Guaranteed Distributed Channel Assignment and Scheduling Algorithms with Low Complexity for Multichannel Wireless Sensor Networks

机译:吞吐量保证分布式信道分配和调度算法,具有低复杂性的多通道无线传感器网络

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In wireless sensor networks, an improved throughput capacity region can be achieved by equipping multiple channels. However, such approach inevitably brings the issue of solving the coupled channel assignment and scheduling problem. This paper put forward a low-complexity distributed channel assignment and scheduling policy for multichannel wireless sensor networks with single-hop traffic flows, named LDCS, as well as its multihop multipath extension. Under the proposed algorithms, random access and backoff time techniques are introduced to keep the complexity low and independent of the number of links and channels. Through theoretical analysis and simulation experiments, it is proved that the proposed algorithms are throughput guaranteed, and in some network scenarios, the achieved capacity region can be larger than that of other comparable distributed algorithms.
机译:在无线传感器网络中,通过配备多个通道,可以实现改进的吞吐量容量区域。然而,这种方法不可避免地带来解决耦合信道分配和调度问题的问题。本文提出了具有单跳业务流量的多通道无线传感器网络的低复杂性分布式信道分配和调度策略,命名为LDC,以及其多跳多径扩展。在所提出的算法下,引入随机接入和退避时间技术以保持复杂性低并且独立于链路和通道的数量。通过理论分析和仿真实验,证明了所提出的算法是吞吐量,并且在某些网络场景中,所实现的容量区域可以大于其他可比较分布式算法的情况。

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