Frequency-Hopping/M-Ary Frequency-Shift Keying Wireless Sensor Network Monitoring Multiple Source Events

Fucheng Yang, Lie-liang Yang
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引用次数: 6

Abstract

In this contribution, a novel wireless sensor network (WSN) assisted by M-ary frequency-shift keying (MFSK) modulation and frequency-hopping (FH), referred to as the FH/MFSK WSN, is proposed to monitor multiple source events (SEs). In the FH/MFSK WSN, the multiple SEs of each with multiple states are observed by a common group of local sensors (LSNs), each of which observes simultaneously all the SEs. The LSNs convey their decisions through wireless channels to the fusion center (FC) with the aid of MFSK and FH. At the FC, the SEs' states are detected using noncoherent fusion rules. In this contribution, two noncoherent fusion rules are investigated. The first one is the equal gain combining (EGC) fusion rule, while the second one uses both the EGC and iterative interference cancellation (IIC), which is referred to as the EGC-IIC fusion rule. The detection performance of the FH/MFSK WSN employing the proposed EGC or EGC-IIC fusion rule is investigated, when assuming the wireless channels experience independent Rayleigh fading. Our studies show that the FH/MFSK WSN may constitute one of the promising WSN schemes for some special application scenarios. It is capable of monitoring simultaneously multiple SEs of each with multiple states, is low-complexity owing to using the noncoherent fusion rule and, furthermore, is capable of achieving promising detection performance, as it can make use of the diversity in both frequency and space domains.
跳频/任意移频键控无线传感器网络监测多源事件
本文提出了一种由移频键控(MFSK)调制和跳频(FH)辅助的新型无线传感器网络(WSN),称为FH/MFSK WSN,用于监测多源事件(se)。在FH/MFSK无线传感器网络中,每个se的多个状态由一组共同的局部传感器(lsn)观测,每个lsn同时观测所有se。lsn在MFSK和跳频的帮助下,通过无线信道向融合中心(FC)传递它们的决策。在FC,使用非相干聚变规则检测se的状态。本文研究了两种非相干核聚变规则。第一种是等增益合并(EGC)融合规则,第二种是EGC和迭代干扰抵消(IIC)融合规则,称为EGC-IIC融合规则。在假设无线信道经历独立瑞利衰落的情况下,研究了采用所提出的EGC或EGC- iic融合规则的跳频/MFSK WSN的检测性能。研究表明,跳频/MFSK无线传感器网络在某些特殊应用场景下是一种很有前途的无线传感器网络方案。它能够同时监测具有多个状态的多个se,由于采用了非相干融合规则而降低了复杂度,并且由于利用了频率域和空间域的多样性,能够获得很好的检测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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