Research issues and challenges related to Geo-IoT platform

Kim, Min‐Soo

doi:10.1007/s41324-017-0161-z

Cited by 13 publications

(5 citation statements)

References 40 publications

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“…However, access to context information with sufficient quality is often the bottleneck when it comes to realizing autonomous control. For instance, it is even challenging to obtain high-precision indoor positioning [68], due to the accumulation of adequate data, context factor discovery, and filtering of contextual information [69]. Another challenge is the design of autonomous control because it is difficult to identify which of all the available contextual information is relevant for a certain task of interest, or how the individual contextual factors can be combined to describe a context-aware behavior [70].…”

Section: Ai-based Autonomymentioning

confidence: 99%

Defining and Researching “Dynamic Systems of Systems”

Adler,

Elberzhager,

Falcão

et al. 2024

Software

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Digital transformation is advancing across industries, enabling products, processes, and business models that change the way we communicate, interact, and live. It radically influences the evolution of existing systems of systems (SoSs), such as mobility systems, production systems, energy systems, or cities, that have grown over a long time. In this article, we discuss what this means for the future of software engineering based on the results of a research project called DynaSoS. We present the data collection methods we applied, including interviews, a literature review, and workshops. As one contribution, we propose a classification scheme for deriving and structuring research challenges and directions. The scheme comprises two dimensions: scope and characteristics. The scope motivates and structures the trend toward an increasingly connected world. The characteristics enhance and adapt established SoS characteristics in order to include novel aspects and to better align them with the structuring of research into different research areas or communities. As a second contribution, we present research challenges using the classification scheme. We have observed that a scheme puts research challenges into context, which is needed for interpreting them. Accordingly, we conclude that our proposals contribute to a common understanding and vision for engineering dynamic SoS.

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Section: Ai-based Autonomymentioning

confidence: 99%

Defining and Researching “Dynamic Systems of Systems”

Adler,

Elberzhager,

Falcão

et al. 2024

Software

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“…Geo-IOT application development for Smart City and LBS application services has been active until now. Smart city services that integrate, visualize, and analyze sensor data, location data, and spatial data collected from the environment, infrastructures, water resources, traffic, and electrical grids and regulate them in real-time have received a lot of research (Kim, 2018). Currently, the most dependable method for mapping vast areas with accurate 3D data combines LiDAR with photogrammetry.…”

Section: Techniques For Collecting Geospatial Datamentioning

confidence: 99%

Geospatial Techniques for Preparing the Requirements of 3D Modeling for Smart City Planning- Review paper

Sadiqe,

Jasim,

Al-Bakri

2023

IQJAP

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Geospatial technique, 3D modelling, Smart city.Developing smart city planning requires integrating various techniques, including geospatial techniques, building information models (BIM), information and communication technology (ICT), and artificial intelligence, for instance, threedimensional (3D) building models, in enabling smart city applications. This study aims to comprehensively analyze the role and significance of geospatial techniques in smart city planning and implementation. The literature review encompasses (74) studies from diverse databases, examining relevant solutions and prototypes related to smart city planning. The focus highlights the requirements and preparation of geospatial techniques to support the transition to a smart city. The paper explores various aspects, such as the advantages and challenges of geospatial techniques, data collection and analysis methodologies, and case studies showcasing successful implementations of smart city initiatives. The research concludes that geospatial techniques are instrumental in driving the development of smart cities. By analyzing and synthesizing the outcomes of the reviewed articles, this study establishes the essential contribution of geospatial techniques in successfully realizing the vision of smart cities.

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“…The research works related to Geo-IoT integration can be categorizes into five groups: edge computing, device integration, data acquisition and management, service provider, and application related solutions. Recently, a short survey based on this classification has been presented in [96]. The focus of this paper is primarily on indexing of spatiotemporal data generated by IoT devices.…”

Section: Landscape Of Solutionsmentioning

confidence: 99%

Indexing of real time geospatial data by IoT enabled devices: Opportunities, challenges and design considerations

Chaudhry

Yousaf

Khan

2020

AIS

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We are moving towards 'smart' world in which industries, such as healthcare, smart cities, transportation, and agriculture have started using IoT (Internet of Things). These applications involve huge number of sensors and devices that generate high volume of real time data. To perform useful analytics on this data, location and spatial awareness characteristics of devices need to be considered. Wide range of location-based services and sensors in GIS have to manage moving objects that change their position with respect to time. These applications generate voluminous amount of real time geospatial data that demands an effective query processing mechanism to minimize the response time of a query. Indexing is one of the traditional ways to minimize the response time of a query by pruning the search space. In this paper, we performed a detailed survey of the literature regarding the indexing of real time geospatial data generated by IoT enabled devices. Some major challenges relevant to indexing of moving objects are highlighted. Various important index design considerations are also discussed. The goal is to help researchers in understanding the principles, methods, and challenges in the indexing of real time geospatial data. This will also aid in identifying the future research opportunities.

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Research issues and challenges related to Geo-IoT platform

Cited by 13 publications

References 40 publications

Defining and Researching “Dynamic Systems of Systems”

Defining and Researching “Dynamic Systems of Systems”

Geospatial Techniques for Preparing the Requirements of 3D Modeling for Smart City Planning- Review paper

Indexing of real time geospatial data by IoT enabled devices: Opportunities, challenges and design considerations

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