UAV Assisted Localization Scheme of WSNs Using RSSI and CSI Information

Xiang, Bohong; Yan, Feng; Zhu, Yaping; Wu, Tao; Xia, Weiwei; Pang, Jingming; Liu, Wanzhu; Heng, Gang; Shen, Lianfeng

doi:10.1109/iccc51575.2020.9344880

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…In [24], a novel approach to obtain more precise range information is proposed. Unlike previous conven-tional works, which rely on single-distance information, they employ multiple-range information.…”

Section: Related Workmentioning

confidence: 99%

“…A higher RSS indicates a closer separation between RX and TX. The greater distance between TX and RX is indicated by the smaller RSS [27].…”

Section: A Received Signal Strength (Rss)mentioning

confidence: 99%

“…In situations where there is no multipath effect, the anchor position can be accurately estimated using the AOA-based approach. The localization accuracy typically decreases when multiple agents are working within [27], [32].…”

Section: B Angle Of Arrival (Aoa)mentioning

confidence: 99%

“…Additionally, a thorough investigation that covers the algorithms, various implementation details, and working principles is required. With the help of this survey, we hope to give researchers a comprehensive understanding of the localization issue so they can develop fresh ideas and advance the localization study [15]. The significant contributions contributed to the current state of peace of work are listed as follows:…”

Section: Introduction and Overviewmentioning

confidence: 99%

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Exploring Radio Frequency-Based UAV Localization Techniques: A Comprehensive Review

Abdulhussein Abdulzahra,

Kadhum M. Al-Qurabat

2024

IJCDS

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UAVs (unmanned aerial vehicles) and WSNs (wireless sensor networks) are now two well-established technologies for monitoring, target tracking, event detection, and remote sensing. Typically, WSN is made up of thousands or even millions of tiny, battery-operated devices that measure, gather, and send information from their surroundings to a base station or sink. Within the realm of wireless positioning and communication, UAVs have garnered a lot of interest because of their remarkable mobility and simplistic deployment to tackle the problems of imprecise sensor placement, inadequate infrastructure coverage, and the massive quantity of sensing data that WSN collects. A crucial prerequisite for many position-based WSN applications is node location, or localization. The use of UAVs for localization is more preferable than permanent terrestrial anchor nodes due to their high accuracy and minimal implementation complexity. The possible interference or signal block in such an operating environment, however, might cause the Global Positioning System (GPS) to become ineffective or unobtainable. In these conditions, the need for innovative UAV-based sensor node location technologies has become essential. Radio frequency (RF)-based localization techniques are reviewed in the current paper. We examine the available RF features for localization and look into the current approaches that work well for unmanned vehicles. The most recent research on RF-based UAV localization is reviewed, along with potential avenues for future investigation.

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Section: Related Workmentioning

confidence: 99%

“…A higher RSS indicates a closer separation between RX and TX. The greater distance between TX and RX is indicated by the smaller RSS [27].…”

Section: A Received Signal Strength (Rss)mentioning

confidence: 99%

Section: B Angle Of Arrival (Aoa)mentioning

confidence: 99%

Section: Introduction and Overviewmentioning

confidence: 99%

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Exploring Radio Frequency-Based UAV Localization Techniques: A Comprehensive Review

Abdulhussein Abdulzahra,

Kadhum M. Al-Qurabat

2024

IJCDS

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“…In recent years, researchers have deeply investigated the deployment of UAVs for the localization of a ground RF transmitter. In the simulation study [5] a UAV is used as an anchor point in the localization process and its measures are mixed with those obtained from ground anchor nodes for localizing a ground emitter. In [6], it is studied a localization method where three fixed-wing UAVs cooperate for scanning a wide area of 10 × 10 km 2 and looking for an RF emitter with unknown transmit power.…”

Section: A Related Workmentioning

confidence: 99%

Experimental UAV-Aided RSSI Localization of a Ground RF Emitter in 865 MHz and 2.4 GHz Bands

Moro

Teeda

Scazzoli

et al. 2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

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Unmanned Aerial Vehicles (UAVs) can be used as low altitude platforms in several applications. In this paper, we propose their use to localize a ground Radio Frequency (RF) emitter by collecting measures of the Received Signal Strength Indicator (RSSI) at different positions. The main contribution of the work consists in the definition of an experimental setup for the simultaneous measures of RSSI and receiver position. The RSSI is measured by an actual transceiver, the Adalm Pluto Software Defined Radio (SDR) development board, programmed with the open-source software GNU Radio. The position is provided by GPS and Inertial Measuring Unit (IMU) sensors on the drone. The measures are acquired in the 865 MHz Short Range Device (SRD) and 2.4 GHz Industrial Scientific Medical (ISM) unlicensed frequency bands. Since the ISM measures can be affected by interference generated by different sources (e.g. Wi-Fi access points and UAV controller), the SRD band is exploited for collecting the RSSI measures with less interference. A maximum likelihood (ML) algorithm is applied to the collected data for estimating the transmitter location. For the considered setup we show that the mean absolute localization error is around 4 m without interference and 5 m with interference. A thresholdbased technique is proposed to improve the accuracy in presence of interference.

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Localization of Wireless Sensor Network Using Neural Network and Line Segment Secondary Calibration

2023

Lecture Notes in Electrical Engineering

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UAV Assisted Localization Scheme of WSNs Using RSSI and CSI Information

Cited by 8 publications

References 16 publications

Exploring Radio Frequency-Based UAV Localization Techniques: A Comprehensive Review

Exploring Radio Frequency-Based UAV Localization Techniques: A Comprehensive Review

Experimental UAV-Aided RSSI Localization of a Ground RF Emitter in 865 MHz and 2.4 GHz Bands

Localization of Wireless Sensor Network Using Neural Network and Line Segment Secondary Calibration

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