Quantization and Energy Optimization Strategy of Wireless Sensor Networks
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摘要:
由于无线传感网络(WSN)存在能量和带宽的限制，在网络中直接传送模拟信号受到了极大地制约，因此对模拟信号量化是节省网络能量和保证有效带宽的重要手段。为此，该文以融合中心的重构绝对均值误差最小为原则，设计一种网络量化及能量优化方法。首先，针对单传感器，在能量固定的情况下推导了最优量化位数及在量化位数固定的情况下推导了最优能量分配。其次，在单传感器的基础上，进一步推导多传感器情况下最优量化位数及最优能量分配。以上两种情况都考虑了传感器测量噪声及信道衰落损耗。最后，通过数值仿真方法验证了文中所提方法的正确性，并将其与等能量分配进行了比较，获得了较好的效果。
Abstract:Due to the limitation of energy and bandwidth in Wireless Sensor Networks(WSN), the direct transmission of analog signals in the network is greatly restricted. Therefore, quantization of analog signals is an important means to save network energy and ensure effective bandwidth. To this end, based on the principle of minimum absolute mean reconstruction error a network quantization and energy optimization method is designed in this paper. Firstly, for single sensor, the optimal quantization bit number is derived under the condition of fixed energy and the optimal energy distribution is derived under the condition of fixed quantization bit number. Secondly, on the basis of single sensor, the optimal quantization bit number and optimal energy allocation are further deduced in multi-sensor case. In both cases, the sensor measurement noise and channel fading loss are considered. Finally, the numerical simulation results show that the proposed method is correct and better than the equal energy distribution.
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Key words:
- Wireless Sensor Networks(WSN) /
- Optimal power allocating /
- Quantization /
- Cluster-based
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