Aitthiwat Phokaew, C. Tanwongvarl, S. Chantaraskul
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引用次数: 3
Abstract
Interference is one of the major problems in Wireless Sensor Networks (WSNs). Since WSNs are typically operating on the shared and unlicensed spectrum band, interference may not be controllable especially under the coexistence of devices in different wireless networking standards operating in the same area. Collection Tree Protocol (CTP) is a routing protocol that is able to support large scale WSNs. With its ability, low level interference can be overcome by the routing process. Proposed algorithm in this paper uses an advantage of a traditional CTP with the adaptation of CTP, so called multi-channel CTP [1] in large scale WSNs along with our proposed enhancement scheme, which integrates intelligent decision making engine. The overall system provides the solution to detect an area of interference that affects the system and makes decision on suitable mechanism according to the current interference scale i.e. rerouting or channel switching method. The proposed system is evaluated via system level simulation and results show the system performance enhancement under severe interference scenario in comparison with the traditional CTP and the multi-channel CTP.
干扰是无线传感器网络(WSNs)的主要问题之一。由于无线传感器网络通常工作在共享和免许可的频段上,特别是在不同无线网络标准的设备共存的情况下,在同一区域工作,干扰可能无法控制。CTP (Collection Tree Protocol)是一种能够支持大规模无线传感器网络的路由协议。利用这种能力,可以在路由过程中克服低电平干扰。本文提出的算法既利用了传统CTP的优点,又对CTP进行了自适应,即大规模WSNs中的多通道CTP[1],并结合了我们提出的集成智能决策引擎的增强方案。整个系统提供了检测影响系统的干扰区域的解决方案,并根据当前的干扰规模(即重路由或信道切换方法)决定合适的机制。通过系统级仿真对该系统进行了评估,结果表明,与传统CTP和多通道CTP相比,该系统在严重干扰情况下的性能有所提高。