Review of angle of arrival (AOA) estimations through received signal strength indication (RSSI) for wireless sensors network (WSN)

Jais, M. I.; Ehkan, Phaklen; Ahmad, Robiah; Ismail, I.; Sabapathy, Thennarasan; Jusoh, M.

doi:10.1109/i4ct.2015.7219597

Cited by 22 publications

(10 citation statements)

References 14 publications

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“…To avoid such problems, other positioning techniques make use of the Angle of Arrival (AoA) of the received signals [99] or their time of arrival (through Time of Arrival (ToA) and Time Difference of Arrival (TDoA) techniques). These latter techniques work pretty well, but they require really accurate internal clocks and, in the case of ToA, time synchronization between the clocks of the transmitter and the receiver [100].…”

Section: Communications Subsystemmentioning

confidence: 99%

Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles

2018

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Technology has become ubiquitous, it is all around us and is becoming part of us. Together with the rise of the Internet-of-Things (IoT) paradigm and enabling technologies (e.g., Augmented Reality (AR), Cyber-Physical Systems, Artificial Intelligence (AI), blockchain or edge computing), smart wearables and IoT-based garments can potentially have a lot of influence by harmonizing functionality and the delight created by fashion. Thus, smart clothes look for a balance among fashion, engineering, interaction, user experience, cybersecurity, design and science to reinvent technologies that can anticipate needs and desires. Nowadays, the rapid convergence of textile and electronics is enabling the seamless and massive integration of sensors into textiles and the development of conductive yarn. The potential of smart fabrics, which can communicate with smartphones to process biometric information such as heart rate, temperature, breathing, stress, movement, acceleration, or even hormone levels, promises a new era for retail. This article reviews the main requirements for developing smart IoT-enabled garments and shows smart clothing potential impact on business models in the medium-term. Specifically, a global IoT architecture is proposed, the main types and components of smart IoT wearables and garments are presented, their main requirements are analyzed and some of the most recent smart clothing applications are studied. In this way, this article reviews the past and present of smart garments in order to provide guidelines for the future developers of a network where garments will be connected like other IoT objects: the Internet-of-Smart-Clothing.

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Section: Communications Subsystemmentioning

confidence: 99%

Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles

2018

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“…On the other hand, the localization models in [30,34,35] do not consider shadowing effects. The authors of [24,25] used the same approach of using RSSI to compute AOA by rotating a directional antenna at a pre-defined angle and measuring the received power at that angle. The receiver can then gain the power spectrum of all possible arrival angles and find the arrival angle which is corresponding to the highest received power in the spectrum.…”

Section: Related Workmentioning

confidence: 99%

“…The second method is Angle-of-Arrival (AOA) [3,4,5,16], which requires adoption of an antenna array in the vehicles or at the anchors but is greatly resilient to noise. Extensive work has been carried out to evaluate RSSI and AOA performances individually in the literature over the last ten years [14,17,18,19,20,21,22,23,24,25,26,27,28,29,30]. However, their combination has not been thoroughly analyzed, especially in the shadowing environments.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Non-GPS Based Localization Techniques under Shadowing Effects

Nguyen

Tran

Safaei

et al. 2019

Sensors

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Non-GPS localization has gained much interest from researchers and industries recently because GPS might fail to meet the accuracy requirements in shadowing environments. The two most common range-based non-GPS localization methods, namely Received Signal Strength Indicator (RSSI) and Angle-of-Arrival (AOA), have been intensively mentioned in the literature over the last decade. However, an in-depth analysis of the weighted combination methods of AOA and RSSI in shadowing environments is still missing in the state-of-the-art. This paper proposes several weighted combinations of the two RSSI and AOA components in the form of pAOA + qRSSI, devises the mathematical model for analyzing shadowing effects, and evaluates these weighted combination localization methods from both accuracy and precision perspectives. Our simulations show that increasing the number of anchors does not necessarily improve the precision and accuracy, that the AOA component is less susceptible to shadowing than the RSSI one, and that increasing the weight of the AOA component and reducing that of the RSSI component help improve the accuracy and precision at high Signal-to-Noise Ratios (SNRs). This observation suggests that some power control algorithm could be used to increase automatically the transmitted power when the channel experiences large shadowing to maintain a high SNR, thus guaranteeing both accuracy and precision of the weighted combination localization techniques.

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“…Directional antennas have been used for estimating the angle of arrival (AOA) to localize the active target (target bearing a tag) [46][47][48]. However, to the best of our knowledge, directional antennas have not been used for DFL.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Directional Sensors for Privacy-Ensured Device-Free Target Localization in Indoor Environment

Rehman

Ellahi²,

Iqbal

et al. 2019

Wireless Communications and Mobile Computing

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This paper presents two radio frequency (RF) sensors with different directivities designed and tested for device-free localization (DFL) in an indoor environment. Mostly, in smart homes and smart offices, peoples may be irritated by wearing the device on them all the time. As compared with device-based localization, the proposed sensors can localize both cooperative and non-cooperative targets (intruders and guests etc.) without privacy leakages. Both sensors are tested to detect the change in received signal strength (ΔRSS) due to the presence of an obstacle. RF sensors, i.e., antennas are designed to operate in the ISM band of 2.4–2.5 GHz. Experimental results show that the sensor with higher directivity provides better ΔRSS that helps in improved accuracy to detect a device-free target.

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Review of angle of arrival (AOA) estimations through received signal strength indication (RSSI) for wireless sensors network (WSN)

Cited by 22 publications

References 14 publications

Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles

Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles

Performance Evaluation of Non-GPS Based Localization Techniques under Shadowing Effects

Design and Implementation of Directional Sensors for Privacy-Ensured Device-Free Target Localization in Indoor Environment

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