Investigating the accuracy of base station information for estimating cellphone location

Smit, Liam; Stander, Adrie; Ophoff, Jacques

doi:10.1109/cybersec.2012.6246171

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Aerial trackers: Within this context, we consider GPS trackers [47], mobile phone applications [48], and base-stations [6]. These data sources are relevant for estimating the coordinates of persons.…”

Section: Data Sources Which Can Be Attached To Geographical Areasmentioning

confidence: 99%

“…For example, dedicated sensors can be attached to physical objects such as residences, bridges, and roads to detect if the corresponding structure is damaged [5]. Base stations of mobile network providers may supply information about the location and use of mobile phones [6]. Dedicated systems can be brought to the disaster area, such as microwave radars to determine if there are living persons under rubble [7].…”

Section: Introductionmentioning

confidence: 99%

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Data Fusion Analysis and Synthesis Framework for Improving Disaster Situation Awareness

Aksit,

Say,

Eren

et al. 2023

Drones

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To carry out required aid operations efficiently and effectively after an occurrence of a disaster such as an earthquake, emergency control centers must determine the effect of disasters precisely and and in a timely manner. Different kinds of data-gathering techniques can be used to collect data from disaster areas, such as sensors, cameras, and unmanned aerial vehicles (UAVs). Furthermore, data-fusion techniques can be adopted to combine the data gathered from different sources to enhance the situation awareness. Recent research and development activities on advanced air mobility (AAM) and related unmanned aerial systems (UASs) provide new opportunities. Unfortunately, designing these systems for disaster situation analysis is a challenging task due to the topological complexity of urban areas, and multiplicity and variability of the available data sources. Although there are a considerable number of research publications on data fusion, almost none of them deal with estimating the optimal set of heterogeneous data sources that provide the best effectiveness and efficiency value in determining the effect of disasters. Moreover, existing publications are generally problem- and system-specific. This article proposes a model-based novel analysis and synthesis framework to determine the optimal data fusion set among possibly many alternatives, before expensive implementation and installation activities are carried out.

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Section: Data Sources Which Can Be Attached To Geographical Areasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Data Fusion Analysis and Synthesis Framework for Improving Disaster Situation Awareness

Aksit,

Say,

Eren

et al. 2023

Drones

View full text Add to dashboard Cite

show abstract

“…The most renowned is satellite positioning using GPS. Other technologies such as Wi-Fi and Bluetooth can also be employed [4]- [6]. Mobile phone positioning can be divided into two main categories: network-based positioning; and handset-based positioning.…”

Section: Classification Of Strategiesmentioning

confidence: 99%

Urban sensing based on mobile phone data: approaches, applications, and challenges

Ghahramani

Zhou

Wang

2020

IEEE/CAA J. Autom. Sinica

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Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these data is necessary. Much concern in mobile data analysis is related to human beings and their behaviours. Due to the potential value that lies behind these massive data, there have been different proposed approaches for understanding corresponding patterns. To that end, monitoring people's interactions, whether counting them at fixed locations or tracking them by generating origindestination matrices is crucial. The former can be used to determine the utilization of assets like roads and city attractions. The latter is valuable when planning transport infrastructure. Such insights allow a government to predict the adoption of new roads, new public transport routes, modification of existing infrastructure, and detection of congestion zones, resulting in more efficient designs and improvement. Smartphone data exploration can help research in various fields, e.g., urban planning, transportation, health care, and business marketing. It can also help organizations in decision making, policy implementation, monitoring and evaluation at all levels. This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data. We classify these existing methods and present a taxonomy of the related work by discussing their pros and cons.

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Precise and fast interactive area QoE management framework toward 5G era

Satake

2016

2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks)

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Investigating the accuracy of base station information for estimating cellphone location

Cited by 4 publications

References 13 publications

Data Fusion Analysis and Synthesis Framework for Improving Disaster Situation Awareness

Data Fusion Analysis and Synthesis Framework for Improving Disaster Situation Awareness

Urban sensing based on mobile phone data: approaches, applications, and challenges

Precise and fast interactive area QoE management framework toward 5G era

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