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无线传感器网络中的负载自适应实用多通道通信。

Load-adaptive practical multi-channel communications in wireless sensor networks.

机构信息

Department of Computer Engineering, Kyung Hee University, 1 Seocheon, Giheung, Yongin, Gyeonggi 449-701, Korea.

出版信息

Sensors (Basel). 2010;10(9):8761-81. doi: 10.3390/s100908761. Epub 2010 Sep 21.

DOI:10.3390/s100908761
PMID:22163685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231205/
Abstract

In recent years, a significant number of sensor node prototypes have been designed that provide communications in multiple channels. This multi-channel feature can be effectively exploited to increase the overall capacity and performance of wireless sensor networks (WSNs). In this paper, we present a multi-channel communications system for WSNs that is referred to as load-adaptive practical multi-channel communications (LPMC). LPMC estimates the active load of a channel at the sink since it has a more comprehensive view of the network behavior, and dynamically adds or removes channels based on the estimated load. LPMC updates the routing path to balance the loads of the channels. The nodes in a path use the same channel; therefore, they do not need to switch channels to receive or forward packets. LPMC has been evaluated through extensive simulations, and the results demonstrate that it can effectively increase the delivery ratio, network throughput, and channel utilization, and that it can decrease the end-to-end delay and energy consumption.

摘要

近年来,设计了大量提供多通道通信的传感器节点原型。这种多通道特性可以有效地利用来提高无线传感器网络(WSN)的整体容量和性能。在本文中,我们提出了一种用于 WSN 的多通道通信系统,称为负载自适应实用多通道通信(LPMC)。LPMC 在接收器处估计通道的活动负载,因为它对网络行为有更全面的了解,并根据估计的负载动态添加或删除通道。LPMC 更新路由路径以平衡通道的负载。路径中的节点使用相同的通道;因此,它们不需要切换通道来接收或转发数据包。通过广泛的模拟对 LPMC 进行了评估,结果表明它可以有效地提高传输率、网络吞吐量和通道利用率,并降低端到端延迟和能耗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/561555bb68e1/sensors-10-08761f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/659e08beebb0/sensors-10-08761f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/bba37a531826/sensors-10-08761f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/48277ed7ad8a/sensors-10-08761f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/186923061250/sensors-10-08761f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/4b7d548d93c3/sensors-10-08761f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/3210dd27e666/sensors-10-08761f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/e21055740d48/sensors-10-08761f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/330951c0cef3/sensors-10-08761f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/561555bb68e1/sensors-10-08761f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/659e08beebb0/sensors-10-08761f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/bba37a531826/sensors-10-08761f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/48277ed7ad8a/sensors-10-08761f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/186923061250/sensors-10-08761f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/4b7d548d93c3/sensors-10-08761f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/3210dd27e666/sensors-10-08761f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/e21055740d48/sensors-10-08761f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/330951c0cef3/sensors-10-08761f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a091/3231205/561555bb68e1/sensors-10-08761f9.jpg

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