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A new energy-aware wireless sensor network evolution model based on complex network

机译:基于复杂网络的新能量感知无线传感器网络演进模型

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摘要

For solving the problem of heterogeneous node energy and low energy efficiency in wireless sensor networks (WSNs), an effective and dynamic self-organization evolution model by introducing a complex network model is proposed in this paper. In the process of the evolution of WSN topology, it is considered that the nodes and links in the network are dynamic behaviors with increasing and decreasing, and combined this behavior with energy-awareness mechanism. The preferred attached mechanism and the anti-preferred deleted mechanism is closely related to the remaining node energy. The statistical characteristics of this network model are analyzed by theoretical calculation and mathematical simulation under different energy distribution functions. Through the simulation experiment, it can be proven that the proposed evolution model will cause the energy consumption of the whole wireless sensor network to be more balanced; at the same time, it would have an excellent performance of random node error tolerance.
机译:为了解决无线传感器网络(WSNS)中异构节点能量和低能量效率的问题,本文提出了通过引入复杂网络模型的有效和动态的自组织演化模型。在WSN拓扑的演进过程中,认为网络中的节点和链路是动态行为,随着能量意识机制的增加和减少,并将这种行为组合。优选的附着机制和抗优选的缺失机制与剩余节点能量密切相关。通过不同能量分布函数下的理论计算和数学模拟分析了该网络模型的统计特征。通过仿真实验,可以证明建议的演化模型将导致整个无线传感器网络的能耗更加平衡;同时,它将具有出色的随机节点误差容差。

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