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An energy-efficient sensor selection strategy based on spatial correlation for wireless sensor networks

机译:基于空间相关性的无线传感器网络节能传感器选择策略

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In wireless sensor networks (WSNs), power-conserving MAC design is vitally important for sensors which use a power source from a fixed utility or manual battery recharging. In this paper, we propose an energy-efficient sensor selection algorithm with two-hop cooperating transmission, which minimizes the total energy consumption of WSNs by exploiting spatial correlation between sensors without compromising distortion performance. A convex optimization model is set up and we solve this convex optimization problem by adopting a priority ordering method instead of solving complicated equations. The simulation results indicate the necessity of our work for WSNs.
机译:在无线传感器网络(WSN)中,节电MAC设计对于使用固定公用电源或手动电池充电的传感器至关重要。在本文中,我们提出了一种具有两跳协作传输的高能效传感器选择算法,该算法通过利用传感器之间的空间相关性而不会损害失真性能,从而将WSN的总能耗降至最低。建立一个凸优化模型,我们通过采用优先级排序方法而不是求解复杂的方程来解决该凸优化问题。仿真结果表明我们对无线传感器网络进行工作的必要性。

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