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https://doi.org/10.1109/vetecs...
Article . 2012 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object
Data sources: DBLP
e-Prints Soton
Conference object . 2012 . Peer-reviewed
Data sources: e-Prints Soton
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Frequency-Hopping/M-Ary Frequency-Shift Keying Wireless Sensor Network Monitoring Multiple Source Events

Authors: Yang, Fucheng; Yang, Lie-Liang;

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

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average