Crowdsensing Solutions in Smart Cities towards a Networked Society

Petkovics, Ármin; Simon, Vilmos; Gódor, István; Böröcz, B.

doi:10.4108/eai.26-10-2015.150600

Cited by 12 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is also an example of IoT, and it is widely known as community-or crowdsensing. This kind of crowd-based data collection and processing is widely used, and thought to be even more widespread in the coming years in Smart Cities [26]. The price of the mobile applications for these devices is cheap, and the great number of downloads ensure a steady profit for the companies operating in the field of communication and service computing.…”

Section: Discussionmentioning

confidence: 99%

A survey of ICT: Evolution of architectures, models and layers

Petkovics

Šimon

2016

2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)

View full text Add to dashboard Cite

The development of computer architecture seems to have halted in the past 15 years compared to the earlier times of the computer era. There is an obvious trend of miniaturization, significantly increased processing speed, however, there are no significant novelties in either architecture or operation. This paper offers a short overview of computer development over the generations, as well as the new usage models that have arisen since the deceleration of the development in architecture. Further, this work presents the various fields where new advancements of computer architecture, operation and ICT in general are expected in the foreseeable future.

show abstract

Section: Discussionmentioning

confidence: 99%

A survey of ICT: Evolution of architectures, models and layers

Petkovics

Šimon

2016

2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)

View full text Add to dashboard Cite

show abstract

“…The researchers support the statement with an indicative framework that calculates the amount of emphasis that one of the perspectives mentioned is applied upon a crowd-based IoT system. A generic approach on crowdsensing solutions is presented in [11] by examining state-of-the-art applications and architectures and the incentives utilized to successfully sustain crowd participation. Moreover, the researchers transform vertical architectures into horizontal ones towards the development of a unified framework and ecosystem that is adapted to specific business opportunities.…”

Section: Related Workmentioning

confidence: 99%

“…• Transportation; Includes systems that facilitate the mobility of pedestrians and drivers or promote and support the use of public means of transport. Indicative examples of such approaches are presented in [14].…”

Section: A Applications Of Crowdsourced Systemsmentioning

confidence: 99%

Circularity Principles in Crowdsourced Systems

Voulgaridis

Angelopoulos

2020

2020 Global Information Infrastructure and Networking Symposium (GIIS)

View full text Add to dashboard Cite

High adoption rates of handheld smart devices, such as smartphones, have motivated the rise of crowdsensing methodologies. The corresponding crowdsourced systemssystems whose constituent infrastructure is provided or augmented by the end-users -have been proven very efficient and scalable systems for collecting data from the crowd. However, successfully and sustainably engaging the crowd introduces costs in the form of incentives. Also, the fragmented landscape of crowdsensing applications aggravates the problem of dark data. In this work we address this problem with the introduction of a reference framework for crowdsourced systems that entails circularity principles. Derived from recent developments in Circular Economy, the circularity principles enable the development of crowdsourced systems that are circular by design, by sharing and re-using already existing resources and data. We exemplify the use of the framework via an example use case.

show abstract

“…The phenomena where the sensors are attached to the human body and move with it across the day (smartphones primarily) is called crowdsensing and it is largely used in Smart City-related applications lately [30]. However, smartphones have a limited and changing variety of sensors from model to model, so they are often unsuitable for several kinds of sensing tasks [1].…”

Section: Introductionmentioning

confidence: 99%

Navigation and Applicability of Hexa Rotor Drones in Greenhouse Environment

Šimon

Petkovic

et al. 2018

Teh. vjesn.

View full text Add to dashboard Cite

The paper discusses use-cases and a broad description of application possibilities of drones in greenhouses. Unmanned autonomous aerial vehicles (UAV), i.e. drones, are being used increasingly often for the direct or indirect collection of data. GPS navigation cannot be applied in an indoor work environment. One of the alternatives is to measure the distance from a fixed set of sensors with known positions. The paper presents a dynamic model for a hexa-rotor drone. In order to ensure reliable navigation a new navigation algorithm is presented based on the two-dimensional navigation algorithm of the robot motion control. It demonstrates the development of a threedimensional navigation algorithm for the hexa-rotor drone with the hypothesis that the elaborate three-dimensional model can navigate the drone in an indoor environment. To prove the hypothesis, the simulation is implemented in Scilab environment with information about the flight path deviation from the planned routes, which is also given in the work.

show abstract

Crowdsensing Solutions in Smart Cities towards a Networked Society

Cited by 12 publications

References 28 publications

A survey of ICT: Evolution of architectures, models and layers

A survey of ICT: Evolution of architectures, models and layers

Circularity Principles in Crowdsourced Systems

Navigation and Applicability of Hexa Rotor Drones in Greenhouse Environment

Contact Info

Product

Resources

About