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Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks

机译:考虑无线传感器网络中传输和信号处理能力的跨层网络寿命优化

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Maintaining high energy efficiency is essential for increasing the lifetime ot wireless sensor networks (WSNs), where the battery of the sensor nodes cannot be routinely replaced. Nevertheless, the energy budget of the WSN strictly relies on the communication parameters, where the choice of both the transmit power as well as of the modulation and coding schemes (MCSs) plays a significant role in maximising the network lifetime (NL). In this paper, we optimise the NL of WNSs by analysing the impact of the physical layer parameters as well as of the signal processing power (SPP) on the NL. We characterise the underlying trade-offs between the NL and bit error ratio (BER) performance for a predetermined set of target signal-to-interference-plus-noise ratio (SINR) values and for different MCSs using periodic transmit-time slot (TS) scheduling in interference-limited WSNs. For a per-link target BER requirement (PLBR) of 10, our results demonstrate that a ‘continuous-time’ NL in the range of 0.58 – 4.99 years is achieved depending on the MCSs, channel configurations, and SPI.
机译:保持高能源效率对于延长无线传感器网络(WSN)的使用寿命至关重要,在无线传感器网络中,无法定期更换传感器节点的电池。然而,WSN的能量预算严格取决于通信参数,在这些参数中,发射功率以及调制和编码方案(MCS)的选择在最大化网络寿命(NL)方面起着重要作用。在本文中,我们通过分析物理层参数以及信号处理能力(SPP)对NL的影响来优化WNS的NL。我们针对目标信号与干扰加噪声比(SINR)值的预定集合以及使用周期性发射时隙(TS)的不同MCS,描述了NL和误码率(BER)性能之间的基本权衡)在受干扰限制的WSN中进行调度。对于每链路目标BER要求(PLBR)为10,我们的结果表明,取决于MCS,通道配置和SPI,可以实现0.58 – 4.99年范围内的“连续时间” NL。

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