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A copy-at-neighbouring-node retransmission strategy for improved wireless sensor network lifetime and reliability

机译:用于改进无线传感器网络生命周期和可靠性的副本 - 邻接节点重传策略

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A Wireless Sensor Network (WSN) is composed of tiny autonomous sensors with limited battery power. WSNs are employed to observe specific fields of interest. In this paper, we study the energy efficient and reliable network design problem using a mathematical programming framework. Energy efficiency is vital since battery replenishment is not always viable and the network lifetime is measured as the time until the first sensor exhausts its energy. Moreover, reliability is important since sensors are mostly deployed unattended and transmission of data fully and correctly is obviously critical. We develop a retransmission strategy originated from the Pareto principle and the scale-free property of complex networks. In our modified hop-by-hop reliability definition, sensors forwarding data directly to the central node must perform retransmission. Central node is the sensor with the highest data transmission load and our motivation is to secure the transmission of data passing through the central node against malicious attacks or technical failures. To this end, we present a mixed 0-1 integer programming model and an efficient heuristic. Our test results show an improvement of 80.5% in network lifetime and of 86.3% in redundant data overhead when compared with the classical conservative data redundancy approaches. We provide extensive test results, which reveal the contribution of our strategy in several other strategic design dimensions.
机译:无线传感器网络(WSN)由具有有限电池电量的小型自主传感器组成。 WSN被用来观察特定的感兴趣的领域。在本文中,我们使用数学编程框架研究了节能可靠的网络设计问题。能源效率至关重要,因为电池补充并不总是可行的,并且在第一个传感器排出其能量之前测量网络寿命。此外,可靠性很重要,因为传感器大多部署了完全和正确的数据传输显然是至关重要的。我们制定了来自Pareto原则的重传策略和复杂网络的无尺度属性。在我们修改的逐跳可靠性定义中,传感器将直接转发到中央节点的数据必须执行重传。中央节点是具有最高数据传输负载的传感器,我们的动机是确保通过中央节点的数据传输免受恶意攻击或技术故障。为此,我们呈现了混合的0-1整数编程模型和高效启发式。与经典保守数据冗余方法相比,我们的测试结果在网络寿命中的提高80.5%,冗余数据耗尽86.3%。我们提供广泛的测试结果,揭示了我们在其他几种战略设计方面的战略的贡献。

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