Edge compression of GPS data for mobile IoT

Acharya, Joydeep; Gaur, Sudhanshu

doi:10.1109/fwc.2017.8368521

Cited by 14 publications

(10 citation statements)

References 5 publications

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“…Consequentially, computation, storage, networking, decision making, and data management not only occur in the cloud, but also occur along the IoT-to-Cloud path as data traverses to the cloud (preferably close to the IoT devices). For instance, compressing the GPS data can happen at the edge before transmission to the cloud in Intelligent Transportation Systems (ITS) [20]. Fog computing is defined by the OpenFog Consortium [6] as "a horizontal systemlevel architecture that distributes computing, storage, control and networking functions closer to the users along a cloud-to-thing continuum."…”

Section: Fog Computingmentioning

confidence: 99%

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Yousefpour

Fung

Nguyen

et al. 2019

Journal of Systems Architecture

1,113

613

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With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for us. With this growth, fog computing, along with its related edge computing paradigms, such as multi-access edge computing (MEC) and cloudlet, are seen as promising solutions for handling the large volume of securitycritical and time-sensitive data that is being produced by the IoT. In this paper, we first provide a tutorial on fog computing and its related computing paradigms, including their similarities and differences. Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms. Finally, we provide challenges and future directions for research in fog computing.

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Section: Fog Computingmentioning

confidence: 99%

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Yousefpour

Fung

Nguyen

et al. 2019

Journal of Systems Architecture

1,113

613

View full text Add to dashboard Cite

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“…In addition, IoT by providing affordable sensors together with the proliferation of internet infrastructure can be helpful in GIS-T. Reference [64] proposes an IoT-based ITS constructed by three components namely the sensor system, monitoring system, and the display system. Reference [65] proposes a technique by correlating Global Positioning System (GPS) data and local GIS information to face the challenges of latency and limitations of bandwidth when transmitting the location of vehicles in Intelligent Transportation Systems. As GIS and IoT integration examples, in [66], using GIS, Radio-Frequency Identification (RFID), and cloud computing technologies, a parking navigation system is presented which facilitates finding parking lots for users near their destinations.…”

Section: Transportationmentioning

confidence: 99%

“…In Intelligent Transportation Systems, the location of vehicles is required to be transmitted to the cloud but some limitations like the ones caused by bandwidth are being emerged [65]. They proposed a method of compressing the GPS data before transmitting it to the cloud.…”

Section: Data-relatedmentioning

confidence: 99%

A Survey of GIS and IoT Integration: Applications and Architecture

2021

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IoT, as an emerging technology along with GIS, can result in advanced and user-friendly features in Smart Cities. In order to investigate the capabilities offered by these technologies, this paper provides an overview of GIS and IoT integration focusing on applications and architecture. Specifically, this paper starts with investigating the role of GIS and IoT separately and jointly in different domains. Then, a review of GIS and IoT integration studies is provided to examine how GIS could be used in IoT architecture. The results showed that the capabilities of GIS in dealing with geospatial data and attributes along with offering visualization and analyzing tools make it possible to develop an integrated system benefiting from real-time data collection and real-time monitoring provided by IoT. The presented details would assist researchers in future studies on utilizing GIS and IoT at the same time.

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“…It is needed to decrease the overheads of the transmitted data, and subsequently, enhance the performance of the system by decreasing the required processing and storage of huge amounts of superfluous data in cloud platforms. For example, GPS data compression can take place at the edge device before offloaded to cloud servers in an intelligent transportation system (ITS) [66]. Fog computing is also well-defined as horizontal and vertical platforms [67].…”

Section: ) Fog Computingmentioning

confidence: 99%