J‐divergence‐based Power Allocation in Wireless Sensor Networks with Distributed Detection under Correlated Noises,International Journal of Communication Systems

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J‐divergence‐based Power Allocation in Wireless Sensor Networks with Distributed Detection under Correlated Noises
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-06-25 , DOI: 10.1002/dac.4459
Seyed Ali Mohajeran ₁ , Ghosheh Abed Hodtani ₁

Affiliation

In this paper, the power allocation problem in a wireless sensor network (WSN) with binary distributed detection is considered. It is assumed that the sensors independently transmit their local decisions to a fusion center (FC) through a slow fading orthogonal multiple access channel (OMAC), where, in every channel, the interferences from other devices are considered as correlated noises. In this channel, the associated power allocation optimization problem with equal power constraint is established between statistical distributions under different hypotheses by using the Jeffrey divergence (J‐divergence) as a performance criterion. It is shown that this criterion for the power allocation problem is more efficient compared to other criteria such as mean square error (MSE). Moreover, several numerical simulations and examples are presented to illustrate the effectiveness of the proposed approach.

中文翻译：

相关噪声下具有分布式检测的无线传感器网络中基于J散度的功率分配

在本文中，考虑了具有二进制分布检测的无线传感器网络（WSN）中的功率分配问题。假定传感器通过慢速衰落正交多路访问信道（OMAC）独立地将其本地决策传输到融合中心（FC），在该信道中，每个信道中来自其他设备的干扰都被视为相关噪声。在该通道中，通过使用杰弗里散度（J-散度）作为性能标准，在不同假设下的统计分布之间建立了具有相等功率约束的关联功率分配优化问题。结果表明，与其他标准（例如均方误差（MSE））相比，此功率分配问题标准更为有效。此外，

更新日期：2020-06-25

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