Adaptive Estimation of WiFi RSSI and Its Impact Over Advanced Wireless Services

Santana, José Aurelio; Macías, Elsa M.; Suárez, Alvaro; Marrero, Domingo; Mena, Vicente

doi:10.1007/s11036-016-0729-1

Cited by 14 publications

(6 citation statements)

References 22 publications

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“…We can detect that node6 uses as intermediate node mainly both the node7 and node4 to reach node1. Though both are valid, distance and other environmental conditions (radio channel instability and especially typical variation [ 50 ] of WiFi signal) cause OLSR to change dynamically the chosen route.…”

Section: Experimental Results For a Test Platform Based On Raspbermentioning

confidence: 99%

Interference Effects Redress over Power-Efficient Wireless-Friendly Mesh Networks for Ubiquitous Sensor Communications across Smart Cities

Santana

Marrero

Macías

et al. 2017

Sensors

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Ubiquitous sensing allows smart cities to take control of many parameters (e.g., road traffic, air or noise pollution levels, etc.). An inexpensive Wireless Mesh Network can be used as an efficient way to transport sensed data. When that mesh is autonomously powered (e.g., solar powered), it constitutes an ideal portable network system which can be deployed when needed. Nevertheless, its power consumption must be restrained to extend its operational cycle and for preserving the environment. To this end, our strategy fosters wireless interface deactivation among nodes which do not participate in any route. As we show, this contributes to a significant power saving for the mesh. Furthermore, our strategy is wireless-friendly, meaning that it gives priority to deactivation of nodes receiving (and also causing) interferences from (to) the rest of the smart city. We also show that a routing protocol can adapt to this strategy in which certain nodes deactivate their own wireless interfaces.

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Section: Experimental Results For a Test Platform Based On Raspbermentioning

confidence: 99%

Interference Effects Redress over Power-Efficient Wireless-Friendly Mesh Networks for Ubiquitous Sensor Communications across Smart Cities

Santana

Marrero

Macías

et al. 2017

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Examples of obstacles that can cause fluctuations in RSSI are walls, ceilings, and people [15], [38]. The effect of walls and ceilings have been discussed in [82]- [84]. The effect of people on signal strength was investigated in [85] for 60 GHz [86], 868 MHz, and [87] [88] 2.4 GHz.…”

Section: Future Developmentmentioning

confidence: 99%

A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing

Firdaus

Ahmad

Sahibuddin

2020

Int. j. electr. comput. eng. syst. (Online)

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Location-based services (LBS) are a significant permissive technology. One of the main components in indoor LBS is the indoor positioning system (IPS). IPS utilizes many existing technologies such as radio frequency, images, acoustic signals, as well as magnetic sensors, thermal sensors, optical sensors, and other sensors that are usually installed in a mobile device. The radio frequency technologies used in IPS are WLAN, Bluetooth, Zig Bee, RFID, frequency modulation, and ultra-wideband. This paper explores studies that have combined WLAN fingerprinting and image processing to build an IPS. The studies on combined WLAN fingerprinting and image processing techniques are divided based on the methods used. The first part explains the studies that have used WLAN fingerprinting to support image positioning. The second part examines works that have used image processing to support WLAN fingerprinting positioning. Then, image processing and WLAN fingerprinting are used in combination to build IPS in the third part. A new concept is proposed at the end for the future development of indoor positioning models based on WLAN fingerprinting and supported by image processing to solve the effect of people presence around users and the user orientation problem.

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“…There are many radio frequency based localization methodologies, including received signal strength indicator (RSSI) [16], time of arrival (TOA) [17], time difference of arrival (TDOA) [18], angle of arrival (AOA) [19]. The ranging based on TOA is to calculate the distance between the transmitter and receiver by measuring the propagation time.…”

Section: Related Workmentioning

confidence: 99%

Robust Kalman Filter Algorithm Based on Generalized Correntropy for Ultra-Wideband Ranging in Industrial Environment

He²,

Zhang

2019

IEEE Access

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The performance of time-of-arrival (TOA)-based ranging using ultra-wideband is greatly declined in the industrial environment since the metallic obstacles cause severe non-line-of-sight (NLOS) and result in huge ranging measurement errors. A general challenge of TOA-based ranging and localization in the industrial environment is that the Kalman filter (KF)-based ranging optimization algorithm cannot effectively improve the ranging accuracy because the ranging errors follow a non-Gaussian distribution. In this paper, a generalized maximum correntropy Kalman filter (GMCKF) algorithm which can effectively suppress NLOS errors is proposed. GMCKF uses the generalized maximum correntropy criterion (GMCC) instead of the minimum mean square error as the criterion of KF, and obtain a robust gain function. GMCC can effectively measure the similarity between the state value and the measurement value, which directly reflects the abnormality of measurement errors. Therefore, GMCKF achieves smoothing filtering in both NLOS and line-of-sight conditions. We compare GMCKF with other KF-based algorithms and prove its steady-state performance in field testing. The results show that the ranging optimized by GMCKF is with significantly higher accuracy. Finally, the optimized ranging is used as the input of three general localization algorithms. The localization accuracy of all localization algorithms is also improved.

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Adaptive Estimation of WiFi RSSI and Its Impact Over Advanced Wireless Services

Cited by 14 publications

References 22 publications

Interference Effects Redress over Power-Efficient Wireless-Friendly Mesh Networks for Ubiquitous Sensor Communications across Smart Cities

Interference Effects Redress over Power-Efficient Wireless-Friendly Mesh Networks for Ubiquitous Sensor Communications across Smart Cities

A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing

Robust Kalman Filter Algorithm Based on Generalized Correntropy for Ultra-Wideband Ranging in Industrial Environment

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