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Packet size optimization for increased throughput in multi-level security wireless networks

机译:数据包大小优化,以提高多层安全无线网络的吞吐量

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In wireless networks, the limited available bandwidth combined with varying signal propagation conditions make it necessary to pursue optimization across all layers of the protocol stack in order to boost the achievable throughput. One of the optimization strategies that is deemed to be effective is to dynamically adjust the packet size either to better suit the channel conditions or to minimize the number of overhead bits in the individual packets. However, contemporary packet-size optimization schemes may become ineffective when the system is subject to specific security requirements. This paper addresses the packet optimization problem in multi-level security wireless data networks for which strict confidentiality requirements and access restriction policies have to be observed. We propose a novel scheme that leverages the classification of data in minimizing the number of packet transmissions as well as the overhead within the individual packets. First, the security goals are categorized and appropriate and efficient encryption methodologies are identified. Then, an algorithm is developed to combine the transmission of packets based on the time sensitivity and security attributes of the data in the payload.
机译:在无线网络中,有限的可用带宽与变化的信号传播条件相结合,使得有必要在协议栈的所有层上进行优化,以提高可达到的吞吐量。被认为是有效的优化策略之一是动态地调整分组大小以更好地适应信道条件或最小化各个分组中的开销比特的数量。但是,当系统受到特定的安全要求时,当代的数据包大小优化方案可能会失效。本文针对多级安全无线数据网络中的数据包优化问题,必须严格遵守机密性要求和访问限制策略。我们提出了一种新颖的方案,该方案利用数据的分类来最大程度地减少数据包传输的数量以及单个数据包内的开销。首先,对安全目标进行分类,并确定适当和有效的加密方法。然后,开发了一种算法,可根据有效载荷中数据的时间敏感性和安全属性来组合数据包的传输。

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