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An efficient multichannel wireless sensor networks MAC protocol based on IEEE 802.11 distributed co-ordinated function

机译：一种有效的多信道无线传感器网络基于IEEE 802.11分布式协调功能的maC协议

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摘要

This research aimed to create new knowledge and pioneer a path in the area relating to future trends in the WSN, by resolving some of the issues at the MAC layer in Wireless Sensor Networks. This work introduced a Multi-channel Distributed Coordinated Function (MC-DCF) which takes advantage of multi-channel assignment. The backoff algorithm of the IEEE 802.11 distributed coordination function (DCF) was modified to invoke channel switching, based on threshold criteria in order to improve the overall throughput for wireless sensor networks. This work commenced by surveying different protocols: contention-based MAC protocols, transport layer protocols, cross-layered design and multichannel multi-radio assignments. A number of existing protocols were analysed, each attempting to resolve one or more problems faced by the current layers. The 802.15.4 performed very poorly at high data rate and at long range. Therefore 802.15.4 is not suitable for sensor multimedia or surveillance system with streaming data for future multichannel multi-radio systems. A survey on 802.11 DCF - which was designed mainly for wireless networks –supports and confirm that it has a power saving mechanism which is used to synchronise nodes. However it uses a random back-off mechanism that cannot provide deterministic upper bounds on channel access delay and as such cannot support real-time traffic. The weaknesses identified by surveying this protocol form the backbone of this thesis The overall aim for this thesis was to introduce multichannel with single radio as a new paradigm for IEEE 802.11 Distributed Coordinated Function (DCF) in wireless sensor networks (WSNs) that is used in a wide range of applications, from military application, environmental monitoring, medical care, smart buildings and other industry and to extend WSNs with multimedia capability which sense for instance sounds or motion, video sensor which capture video events of interest. Traditionally WSNs do not need high data rate and throughput, since events are normally captured periodically. With the paradigm shift in technology, multimedia streaming has become more demanding than data sensing applications as such the need for high data rate protocol for WSN which is an emerging technology in this area. The IEEE 802.11 can support data rates up to 54Mbps and 802.11 DCF was designed specifically for use in wireless networks. This thesis focused on designing an algorithm that applied multichannel to IEEE 802.11 DCF back-off algorithm to reduce the waiting time of a node and increase throughput when attempting to access the medium. Data collection in WSN tends to suffer from heavy congestion especially nodes nearer to the sink node. Therefore, this thesis proposes a contention based MAC protocol to address this problem from the inspiration of the 802.11 DCF backoff algorithm resulting from a comparison of IEEE 802.11 and IEEE 802.15.4 for Future Green Multichannel Multi-radio Wireless Sensor Networks.
机译：这项研究旨在通过解决无线传感器网络中MAC层的一些问题，来创造新的知识并开辟与WSN未来趋势相关的领域之路。这项工作介绍了一种利用多通道分配的多通道分布式协调功能（MC-DCF）。基于阈值标准，IEEE 802.11分布式协调功能（DCF）的退避算法已修改为调用信道切换，以提高无线传感器网络的总体吞吐量。这项工作始于调查不同的协议：基于竞争的MAC协议，传输层协议，跨层设计和多通道多无线电分配。分析了许多现有协议，每种协议都试图解决当前层所面临的一个或多个问题。 802.15.4在高数据速率和远距离下的性能非常差。因此，802.15.4不适合用于未来多通道多无线电系统的流数据的传感器多媒体或监视系统。一项主要针对无线网络设计的802.11 DCF调查支持并确认它具有用于同步节点的节能机制。但是，它使用了随机退避机制，该机制无法提供信道访问延迟的确定性上限，因此不能支持实时流量。通过调查该协议发现的弱点构成了本文的骨干。本论文的总体目标是，将带单无线电的多信道引入无线传感器网络（WSN）中用于IEEE 802.11分布式协调功能（DCF）的新范例中。从军事应用，环境监控，医疗保健，智能建筑和其他工业到广泛的应用，以及具有多媒体功能的WSN的扩展，这些功能可以感测声音或运动，还可以捕获感兴趣的视频事件的视频传感器。传统上，WSN不需要高数据速率和吞吐量，因为事件通常是定期捕获的。随着技术范式的转变，多媒体流已经比数据感测应用更加苛刻，因此对WSN的高数据速率协议的需求是该领域的新兴技术。 IEEE 802.11可以支持高达54Mbps的数据速率，并且802.11 DCF是专为在无线网络中使用而设计的。本文的重点是设计一种将多通道应用于IEEE 802.11 DCF退避算法的算法，以减少节点的等待时间并在尝试访问介质时增加吞吐量。 WSN中的数据收集往往会遭受严重的拥塞，尤其是靠近宿节点的节点。因此，本论文提出了一种基于竞争的MAC协议，以解决802.11 DCF退避算法的灵感，该算法是针对未来绿色多通道多无线电无线传感器网络的IEEE 802.11和IEEE 802.15.4的比较而得出的。

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    Campbell Carlene;

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  • 年度 2011
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  • 正文语种 English
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