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Yue Hu

Researcher at Northwest University (China)

Publications -  7
Citations -  270

Yue Hu is an academic researcher from Northwest University (China). The author has contributed to research in topics: Geographic routing & Signal. The author has an hindex of 3, co-authored 6 publications receiving 147 citations.

Papers
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Proceedings ArticleDOI

PLoRa: a passive long-range data network from ambient LoRa transmissions

TL;DR: PLoRa takes ambient LoRa transmissions as the excitation signals, conveys data by modulating an excitation signal into a new standard LoRa "chirp" signal, and shifts this new signal to a different LoRa channel to be received at a gateway faraway.
Journal ArticleDOI

EasyGo: Low-cost and robust geographic opportunistic sensing routing in a strip topology wireless sensor network

TL;DR: This work proposes a new geographic routing sensing opportunistic approach, named EasyGo, to cope with the routing problem, i.e., the transmission success rate decreases in the complicated strip networks, and introduces a new candidate selection algorithm SLS, which introduces the concepts of layer slicing and virtual sinks to improve the Transmission success rate in strip WSNs.
Patent

Passive backstage long-distance communication system, in particular to passive backstage long-distance communication system

TL;DR: In this paper, a passive backstage long-distance communication system is described, where LoRa, WiFi, GSM, Bluetooth and other signals in the environment can be used as excitation signals, the excitation signal is modulated into another standard signal to transmit data, and the new signal is shifted to different channels, so that obtained backscattered signals are received in a standard network.
Proceedings ArticleDOI

LiReT: An Fine-Grained Self-Adaption Device-Free Localization with Little Human Effort

TL;DR: A LiReT algorithm based on a multivariable linear regression model to transfer the CSI measurements (fingerprint) at distance L to L' can locate the target accurately at low-cost and improve the localization accuracy by up to 51.68%, which is competitive with existing solutions.
Proceedings ArticleDOI

LSVS: Bringing Layer Slicing and Virtual Sinks to Geographic Opportunistic Routing in Strip WSNs

TL;DR: This paper presents a new geographic opportunistic routing to cope with the routing problem that is the transmission success rate will decrease in the complicated strip networks and proposes the LSVS routing mechanism, theoretical analysis and extensive simulation illustrate the efficiency and higher transmission performance of routing in strip WSNs.