认知无线电传感器网络的干扰和延迟感知路由算法

Kumaresh Sheelavant, R. Sumathi
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引用次数: 0

摘要

认知无线电传感器网络(CRSN)由能够根据环境中可用频谱实时改变其传输参数的认知设备组成。这些能力提供了设计灵活和动态频谱策略的可能性,目的是机会性地访问暂时由主要用户腾出的部分频谱,因此通信协议设计的复杂性将增加。CRSN的频谱机会接入特性给通信网络带来了干扰问题。由于这个问题,网络的性能将会下降,如能量消耗增加,交换延迟,降低网络的可靠性。为了克服所有这些挑战,我们开发了一种干扰和延迟感知路由算法,该算法选择最佳路径将数据从源路由到目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interference and Delay Aware Routing Algorithm for Cognitive Radio Sensor Networks
Cognitive Radio Sensor Networks (CRSN) consists of cognitive devices capable of changing their transmission parameters on a real time, based on the spectrum available in the environment. These capabilities brings-up the possibility of designing flexible and dynamic spectrum strategies with the purpose of opportunistically accessing the portion of the spectrum temporarily vacated by the primary users, due to this there will be increased complexity in the design of communication protocols. The characteristic of CRSN that is opportunistic access of spectrum raises interference problem in the communication networks. On account of this problem the performance of the network will be degraded like increase in consumption of energy, switching delay, reducing the reliability of a network. To overcome all these challenges we developed an interference and delay aware routing algorithm which selects a best path to route the data from source to the destination.
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