Results 131 to 140 of about 4,193 (185)

mmWaves RSSI indoor network localization

2014 IEEE International Conference on Communications Workshops (ICC), 2014
Indoor positioning gained great interest in recent years. Several performance evaluations are available for consolidated systems, especially for ultra-wideband radios. Given the current success of mmWaves networks, in this paper, we investigate the performance of RSSI localization systems operating at mmWaves.
Vari M, CASSIOLI, DAJANA
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Localization Sensitivity Under RSSI Quantization

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
Received Signal Strength Indication (RSSI) is a notoriously noisy metric, yet attractive for localization purposes. We study the effect of reducing the RSSI value to a single bit, essentially turning the RSSI measurement into a proximity indicator.
Alan Yong, Ioanis Nikolaidis, Janelle J. Harms   +2 more
openaire   +1 more source

Revamping Supermarkets With AI and RSSi

2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), 2021
Super markets are mushrooming in every city as shopping has became a daily activity. An average person goes to shopping 1.6 times in a week and spends approximately 40 minuets there per visit. This sums up to around 60 hours every year. Around 15 of the time spent in the supermarkets is wasted due long billing queues and weighting for the turn.
Prashant Kaushik, Anshul Sharma, Gurjit Singh Bhathal   +2 more
openaire   +1 more source

RSSI localisation with sensors placed on the user

2010 International Conference on Indoor Positioning and Indoor Navigation, 2010
We examine the indoor single-room localisation problem while using multiple fixed transmitters (anchors) and multiple mobile receivers placed on the user (mobiles). Anchors transmit a periodic beacon that the mobiles receive and of which they measure the received power level value (RSSI).
Barsocchi P., Furfari F., Nepa P., Potorti' F.   +3 more
openaire   +4 more sources

RSSI Localization with Gaussian Processes and Tracking

2015 IEEE Globecom Workshops (GC Wkshps), 2015
Location Fingerprinting (LF) is a promising localization technique that enables many commercial and emergency location-based services (LBS). While significant efforts have been invested in enhancing LF using advanced machine learning methods, the configuration effort required to deploy a LF system remains a significant issue. In this paper, a practical
Marzieh Dashti, Simon Yiu, Siamak Yousefi, Fernando Pérez-Cruz, Holger Claussen 0001   +4 more
openaire   +1 more source

Metric Learning for Fingerprint RSSI-Localization

2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020
In this paper, we describe a framework dedicated to the geolocation of devices that can only be positioned in a set of specific locations called points of interest (noted PoIs). After a short introduction explaining the importance of this topic, a machine learning approach of this problem will be formalized and some of the off-the-shelf predictors that
Kevin Elgui, Pascal Bianchi, Olivier Isson, François Portier, Renaud Marty   +4 more
openaire   +1 more source

3D Outdoor Positioning Based on RSSI

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP), 2018
As a key feature of wireless sensor networks, location-based services find wide applications in social networks, e.g., emergency, navigation and marketing. However, most positioning algorithms aim at two-dimensional indoor applications and few have focused on three-dimensional (3D) outdoor applications.
Wanjing Kuang, Mengting Zhang, Wenrui Li, Caiyun Chen, Minghua Xia   +4 more
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RSSI localization method for mine underground based on RSSI hybrid filtering algorithm

2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), 2017
Aiming at the coal mine personnel positioning method based on wireless sensor network technology, contrasting with advantage of now-existing feasible methods, consulting with traditional trilateral positioning, this paper proposed weighted trilateral localization method based on RSSI ranging.
Liu Yi, Liang Tao, Sun Jun
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RSSI-Based Bluetooth Indoor Localization

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), 2015
The Global Positioning System (GPS) has been widely used to determine the location for a variety of different applications. However, it doesn't work well in indoor environments because it requires the line of sight to the satellites and therefore stops working when the line of sight is not available.
Yixin Wang, Qiang Ye 0001, Jie Cheng 0003, Lei Wang 0126   +3 more
openaire   +1 more source

RSSI-based localization in cellular networks

37th Annual IEEE Conference on Local Computer Networks -- Workshops, 2012
This paper presents a novel RSSI based localization scheme that employs an existing cellular network infrastructure to perform trilateration. Traditional localization schemes employ RSSI-based radial distance estimation and trilateration algorithm.
Lei Wang 0104, Maciej J. Zawodniok
openaire   +1 more source