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A self-organised routing algorithm for cognitive radio-based wireless sensor networks using biologically-inspired method

机译:一种使用生物启发方法的认知无线电无线传感器网络的自组织路由算法

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Wireless sensor networks area collection of a large number of unattended sensor nodes. The sensor nodes are dynamically deployed in the region. In wireless sensor networks, the unlicensed sensor nodes use their temporarily available vacant licensed channels or spectrum band in a telecommunication network. The many open challenges with issues such as adaptive in self-organisation, fault-tolerance and network scalability with cooperative spectrum sensing and sharing are identifying new challenges in wireless sensor networks. In this paper, we proposed the bio-inspired adaptive routing algorithm for cognitive radio wireless sensor networks. The utilisation of the foraging approach of ANTs and BEEs for making the decision of using the available spectrum sensing and sharing of channels over multi-hops communication, provides the method to utilise idle channel and decrease the delay for communication in wireless sensor network. In this paper, we design the algorithm to solve the issue of wireless sensor network and performance of classical routing protocol LEACH and cognitive radio sensor networks (CRSN) evaluates the parameters which proof the self-organisation routing algorithm.
机译:无线传感器网络区域集合大量无人看管的传感器节点。传感器节点在该区域动态部署。在无线传感器网络中,未经许可的传感器节点在电信网络中使用其临时可用的空置许可信道或频谱频带。具有协作频谱感测和共享的自组织,容错和网络可扩展性等问题的许多开放挑战是在无线传感器网络中识别新的挑战。在本文中,我们提出了用于认知无线无线传感器网络的生物启发自适应路由算法。利用蚂蚁和蜜蜂的觅食方法,用于做出使用可用频谱感测和在多跳通通信中共享通道的决定,提供了利用空闲信道的方法,并降低无线传感器网络中的通信延迟。在本文中,我们设计了解决无线传感器网络问题的算法,经典路由协议leach和认知无线电传感器网络(CRSN)的性能评估了证明自组织路由算法的参数。

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