A Single RF Emitter-Based Indoor Navigation Method for Autonomous Service Robots

Sherwin, Tyrone; Easte, Mikala; Chen, Andrew Tzer-Yeu; Wang, Kevin I‐Kai; Dai, Wenbin

doi:10.3390/s18020585

Cited by 8 publications

(8 citation statements)

References 36 publications

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“…This, reduce the performance of the wireless link, as was the case with our experiment. Hence, it is important to have a clear ‘line of sight (LOS)’ between the transmitter and the receiver, as much as possible [ 25 ]. In our experiments, the transmitter node was fixed on a Skylift at a height of 40 m. The height of the receiver node, which was installed on the back of a four-wheel drive vehicle did not exceed 5 m. On average, coconut trees are approximately 12 m tall.…”

Section: Resultsmentioning

confidence: 99%

Overcoming Limitations of LoRa Physical Layer in Image Transmission

Jebril¹,

Sali²,

Ismail³

et al. 2018

Sensors

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As a possible implementation of a low-power wide-area network (LPWAN), Long Range (LoRa) technology is considered to be the future wireless communication standard for the Internet of Things (IoT) as it offers competitive features, such as a long communication range, low cost, and reduced power consumption, which make it an optimum alternative to the current wireless sensor networks and conventional cellular technologies. However, the limited bandwidth available for physical layer modulation in LoRa makes it unsuitable for high bit rate data transfer from devices like image sensors. In this paper, we propose a new method for mangrove forest monitoring in Malaysia, wherein we transfer image sensor data over the LoRa physical layer (PHY) in a node-to-node network model. In implementing this method, we produce a novel scheme for overcoming the bandwidth limitation of LoRa. With this scheme the images, which requires high data rate to transfer, collected by the sensor are encrypted as hexadecimal data and then split into packets for transfer via the LoRa physical layer (PHY). To assess the quality of images transferred using this scheme, we measured the packet loss rate, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) index of each image. These measurements verify the proposed scheme for image transmission, and support the industrial and academic trend which promotes LoRa as the future solution for IoT infrastructure.

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Section: Resultsmentioning

confidence: 99%

Overcoming Limitations of LoRa Physical Layer in Image Transmission

Jebril¹,

Sali²,

Ismail³

et al. 2018

Sensors

View full text Add to dashboard Cite

show abstract

“…Any obstruction within this volume, such as buildings, plants, mountains, and the land, may weaken the broadcast signal, even though the end node and the gate are directly visible. The area should be free of obstacles of at minimum 60%, including buildings, mountain areas or trees [35]. This, like in our experiment, reduces the performance of wireless communication.…”

Section: Fresnel Zone Factormentioning

confidence: 86%

“…To achieve better utilization of battery power, systems should work efficiently in their states such as computation stage, communication stage, active stage, and sleep stage [35]. The measurement stage intends to provide power to all sensors for reading and writing the measurements values.…”

Section: Battery Life Timementioning

confidence: 99%

LoRa Based Metrics Evaluation for Real-Time Landslide Monitoring on IoT Platform

et al. 2022

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In the context of an early warning system for landslides, monitoring of prone areas is a longlasting process, little human intervention, and a resource less environment. Data changes in the monitoring area may be noticed in many days, months, or years depending on the weather characteristics. Therefore, a frequent and large amount of data of monitored area is not required to send on a cloud server. Moreover, Long-range communication provided comprehensive spectrum communication protocol and low power consumption with fewer data rates. Over the advantage of LoRa technology, we designed a customized sensor node and gateway node to monitor the changes periodically with low energy power consumption. We evaluated the distinct metrics of spreading factor, sensitivity, time-on-air, energy consumption, link budget, and battery life of sensor and gateway nodes. Finally, this study concludes with challenges faced in real-time in which the sensor data received via a customized sensor node and gateway on the cloud server.INDEX TERMS Landslide monitoring, customized node, the IoT, long range radio, LoRa link budget, Fresnel zone, LoRa sensitivity.

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“…Of particular relation to the methods proposed herein are those works which track targets using a single sensor platform [9], [10], [11], [12], [13]. The vast majority of these systems constrain themselves to tracking a single target, which is either stationary or moving with known dynamics.…”

Section: A Target Trackingmentioning

confidence: 99%

Radio Frequency Signal Strength Based Multitarget Tracking With Robust Path Planning

2023

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The proliferation of technologically advanced and mobile devices poses risks to public safety and security. These threats can be mitigated by systems equipped to perform timely identification and tracking of devices and their operators. In pursuit of these capabilities, we propose an automated sensing platform designed specifically for tracking multiple, mobile radio frequency (RF) targets. There are a number of challenges involved with tracking multiple moving RF sources. We formulate the task as an iterative state estimation and path planning process, whereby the sensor platform first estimates the positions of the targets through observation of the RF environment and then plans and executes a movement path. By developing a sensor model informed by RF propagation theory, we construct a particle filter based state estimator with the potential to track multiple targets using only signal strength observations. In addition, we propose a path planning technique rooted in uncertainty minimization and safety based constraints. Finally, we validate the proficiency of the proposed methods with simulated experiments. Through analysis of tracking metrics and localization performance we show the benefits of our proposed active sensing techniques as they apply to tracking multiple RF targets. We demonstrate the robustness of our method to various environmental scenarios by testing with a multitude of realistic and challenging experimental parameters (e.g., speed of the sensor platform, number of targets, speed of targets, level of signal-to-noise ratio (SNR)). The results indicate that our method performs better than other state-of-theart tracking methods, with significant improvements seen in the most difficult scenarios with higher speed targets. In these and other settings, our method is more often able to localize the targets and with less error and uncertainty in position estimation. We also show that our method is computationally efficient and scales well to an increasing number of targets. INDEX TERMSMultitarget tracking, path planning, radio frequency signals, particle filters I. INTRODUCTION

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A Single RF Emitter-Based Indoor Navigation Method for Autonomous Service Robots

Cited by 8 publications

References 36 publications

Overcoming Limitations of LoRa Physical Layer in Image Transmission

Overcoming Limitations of LoRa Physical Layer in Image Transmission

LoRa Based Metrics Evaluation for Real-Time Landslide Monitoring on IoT Platform

Radio Frequency Signal Strength Based Multitarget Tracking With Robust Path Planning

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