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An Artificial Bee Colony-Based COPE Framework for Wireless Sensor Network

机译:基于人工蜂群的无线传感器网络COPE框架

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In wireless communication, network coding is one of the intelligent approaches to process the packets before transmitting for efficient information exchange. The goal of this work is to enhance throughput by using the intelligent technique, which may give comparatively better optimization. This paper introduces a biologically-inspired coding approach called Artificial Bee Colony Network Coding (ABC-NC), a modification in the COPE framework. The existing COPE and its variant are probabilistic approaches, which may not give good results in all of the real-time scenarios. Therefore, it needs some intelligent technique to find better packet combinations at intermediate nodes before forwarding to optimize the energy and maximize the throughput in wireless networks. This paper proposes ABC-NC over the existing COPE framework for the wireless environment.
机译:在无线通信中,网络编码是在传输之前处理数据包以进行有效信息交换的智能方法之一。这项工作的目的是通过使用智能技术来提高吞吐量,这可以提供相对更好的优化。本文介绍了一种生物学启发的编码方法,称为人工蜂群网络编码(ABC-NC),这是对COPE框架的一种修改。现有的COPE及其变体是概率方法,可能无法在所有实时场景中都给出良好的结果。因此,需要某种智能技术在转发之前在中间节点找到更好的分组组合,以优化能量并最大化无线网络中的吞吐量。本文针对无线环境在现有的COPE框架上提出了ABC-NC。

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