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Battery Power Efficiency of PPM and FSK in Wireless Sensor Networks

机译:无线传感器网络中PPM和FSK的电池电源效率

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As sensor nodes are typically powered by nonrenewable batteries, energy efficiency is a critical factor in wireless sensor networks (WSNs). Orthogonal modulations appropriate for the energy-limited WSN setup have been investigated under the assumption that batteries are linear and ideal, but their effectiveness is not guaranteed when more realistic nonlinear battery models are considered. In this paper, based on a general model that integrates typical WSN transmission and reception modules with realistic battery models, we derive two battery power-conserving schemes for two M-ary orthogonal modulations, namely pulse position modulation (PPM) and frequency shift keying (FSK), both tailored for WSNs. Then we analyze and compare the battery power efficiency of PPM and FSK over various wireless channel models. Our results reveal that FSK is more power-efficient than PPM in sparse WSNs, while PPM may outperform FSK in dense WSNs. We also show that in sparse WSNs, the power advantage of FSK over PPM is no more than 3 dB; whereas in very dense WSNs, the power advantage of PPM over FSK can be much more significant as the constellation size M increases
机译:由于传感器节点通常由不可更新的电池供电,因此能效是无线传感器网络(WSN)的关键因素。在电池是线性且理想的假设下,已经研究了适合能量受限的WSN设置的正交调制,但是当考虑更实际的非线性电池模型时,不能保证其有效性。在本文中,基于将典型WSN发送和接收模块与实际电池模型集成在一起的通用模型,我们得出了两个M元正交调制的两种电池节电方案,即脉冲位置调制(PPM)和频移键控( FSK),都是针对WSN量身定制的。然后,我们分析并比较了各种无线信道模型下PPM和FSK的电池电源效率。我们的结果表明,在稀疏WSN中,FSK的功率效率比PPM高,而在密集WSN中,PPM的性能可能优于FSK。我们还表明,在稀疏的WSN中,FSK相对于PPM的功率优势不超过3 dB。而在非常密集的WSN中,随着星座图大小M的增加,PPM相对于FSK的功率优势会更为显着

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