Multi-Hop LoRa Network Protocol with Minimized Latency

LoRa (Long Range) is a long-range communications capacity with chirp spread spectrum modulation. It has been developed for Internet of Things (IoT) applications for long-distance and low power consumption. Some authors proposed LoRa protocols such as LoRaWAN, LoRaBlink, DQ-LoRa and the multi-hop LoRa network with linear topology; however, these protocols have disadvantages. In this paper, we propose a minimized latency multi-hop LoRa network protocol that is collision-free with low latency to improve on the disadvantages. First, in the proposed protocol, tree topology is constructed by exchanging packets between LoRa nodes and the sink node. During this period, a timeslot and channel are assigned to each tree link, over which LoRa nodes communicate with their parent node and which is collision-free with its neighbor nodes. After the tree construction period, LoRa nodes start data transmission using the timeslot and channel that they have already been assigned to in the tree construction period. We developed the proposed protocol in a LoRa node prototype using the MultiTech mDot module, and we conducted experiments at Ulsan University. The results show that the proposed protocol provides high reliability, parallel transmissions, a minimized number of timeslots assigned for all the links in the network, a minimized packet size, and low latency.

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PERFORMANCE COMPARISON OF SPREAD SPECTRUM MODULATION FOR WIRELESS CHANNELS USING ANN – ASSISTED PSEUDO - NOISE SEQUENCE GENERATOR

International Journal of Electronics Signals and Systems ◽

10.47893/ijess.2014.1177 ◽

2014 ◽

pp. 241-246

Author(s):

JUTHIKA GOGOI

Keyword(s):

Spread Spectrum ◽

Communication Systems ◽

Wireless Channels ◽

High Reliability ◽

Performance Comparison ◽

Rician Fading ◽

Pn Sequence ◽

Pseudo Noise ◽

Sequence Generator ◽

Spread Spectrum Modulation

One of the challenging issues in Spread-Spectrum Modulation (SSM) is the design of the Pseudo – Random or Pseudo - Noise (PN) sequence generator. Though several approaches are available that deals with the PN – sequence generator, there always exists the possibility of exploring the use of innovative methods through which shortcomings of the known techniques can be minimized and the performance of communication systems using SSM improved. This work is related to the use of Artificial Neural Network (ANN) for generation of the PN sequence during transmission and reception of a SSM based system. The benefit of the ANN - assisted PN generator shall be that it will simplify the design process of the PN - generator and yet provide high reliability against disruptions due to intentional disruptions and degradation of signal quality resulting out of variations in channel condition. The experiments carried out show that the ANN - assisted system is robust enough to deal with the unpredictability in the wireless channels and provide satisfactory performance under Gaussian and Rayleigh /Rician fading. The performance of the SSM system can be further enhanced by the use of coding. Hamming and cyclic redundancy check (CRC) codes have been used here with the data stream to explore if performance of the SSM system is improved further.

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A Long-Distance Communication Architecture for Medical Devices Based on LoRaWAN Protocol

Electronics ◽

10.3390/electronics10080940 ◽

2021 ◽

Vol 10 (8) ◽

pp. 940

Author(s):

Nicoleta Cristina Gaitan

Keyword(s):

Energy Consumption ◽

Long Range ◽

Medical Devices ◽

Low Energy ◽

Area Network ◽

Wide Area Network ◽

Long Distance ◽

Communication Architecture ◽

Low Energy Consumption ◽

Distance Communication

Recent market studies show that the market for remote monitoring devices of different medical parameters will grow exponentially. Globally, more than 4 million individuals will be monitored remotely from the perspective of different health parameters by 2023. Of particular importance is the way of remote transmission of the information acquired from the medical sensors. At this time, there are several methods such as Bluetooth, WI-FI, or other wireless communication interfaces. Recently, the communication based on LoRa (Long Range) technology has had an explosive development that allows the transmission of information over long distances with low energy consumption. The implementation of the IoT (Internet of Things) applications using LoRa devices based on open Long Range Wide-Area Network (LoRaWAN) protocol for long distances with low energy consumption can also be used in the medical field. Therefore, in this paper, we proposed and developed a long-distance communication architecture for medical devices based on the LoRaWAN protocol that allows data communications over a distance of more than 10 km.

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Machine Learning Oriented Resource Allocation to Achieve Ultra Low Power, Low Latency and High Reliability Vehicular Communication Networks

2020 IEEE 17th India Council International Conference (INDICON) ◽

10.1109/indicon49873.2020.9342584 ◽

2020 ◽

Author(s):

Sasweth C Rajanarayanan ◽

Rohit Misra ◽

Rahul Jashvantbhai Pandya

Keyword(s):

Machine Learning ◽

Resource Allocation ◽

Low Power ◽

Communication Networks ◽

High Reliability ◽

Low Latency ◽

Vehicular Communication ◽

Ultra Low Power ◽

Vehicular Communication Networks

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Portable high-end instrument for in-vivo infrared spectroscopy using spread spectrum modulation

Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510) ◽

10.1109/imtc.2004.1351197 ◽

2004 ◽

Cited By ~ 2

Author(s):

M.E. Giardini ◽

S. Trevisan

Keyword(s):

Infrared Spectroscopy ◽

Spread Spectrum ◽

Spread Spectrum Modulation

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Secrecy analysis of short-packet transmissions in ultra-reliable and low-latency communications

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-020-01862-7 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Jianhua He ◽

Guangheng Zhao ◽

Lu Wang ◽

Xue Sun ◽

Lei Yang

Keyword(s):

Power Allocation ◽

High Reliability ◽

Low Latency ◽

Artificial Noise ◽

Secrecy Outage Probability ◽

Secrecy Rate ◽

Single Antenna ◽

Error Probabilities ◽

Short Packet ◽

Allocation Factor

AbstractIn this paper, we investigate the secrecy performance of short-packet transmissions in ultra-reliable and low-latency communications (URLLC). We consider the scenario where a multi-antenna source communicates with a single-antenna legitimate receiver requiring ultra-high reliability and low latency, in the presence of a single-antenna eavesdropper. In order to safeguard URLLC, the source transmits the artificial noise (AN) signal together with the confidential signal to confuse the eavesdropper. We adopt a lower bound on the maximal secrecy rate as the secrecy performance metric for short-packet transmissions in URLLC, which takes the target decoding error probabilities at the legitimate receiver and the eavesdropper into account. Using this metric, we first derive a compact expression of the generalized secrecy outage probability (SOP). Then, we formally prove that the generalized SOP is a convex function with respect to the power allocation factor between the confidential signal and the AN signal. We further determine the optimal power allocation factor that minimizes the generalized SOP. The results presented in this work can be useful for designing new secure transmission schemes for URLLC.

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