Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies

Topologies for combining the Internet of Things and Serious Gameshttp://researchonline.ljmu.ac.uk/3806/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription. This literature survey uncovers existing topologies that can be applied for combining IoT with Serious Games. This paper presents findings from extensive research into IoT, Serious Games, Pervasive Games and Gamification, IoT topologies and Wireless Sensor Networks (WSN), to identify the requirements of a topology for Serious Games and IoT. By understanding the topological requirements for combining IoT and Serious Games, the development process is reduced, allowing for the advancement in the mentioned field.Three topologies are presented for combining IoT with Serious Games and a detailed topology for developing a Serious Game that monitors student attendance is presented. Also included, is an insight into the new paradigm of Smart Serious Games (SSGs). This paper will aid future research and development in SSGs determine effective network topologies.

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Section: A Internet Of Thingsmentioning

confidence: 99%

Topologies for combining the internet of things and serious games

Melthis

Tang

Yang

et al. 2016

IFS

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“…Two types of cloud namely roadside cloudlets and vehicular clouds are made available for users to offload their resource‐hungry tasks based on availability. However, to deploy a vehicular cloud network in real world with high quality of service (QoS), there exist some challenges such as continuity of cloud services, the QoS received from the cloud servers, and accessibility to cloud resources . This is because the mobility in vehicular nodes causes frequent change of network topology and communication technologies.…”

Section: Introductionmentioning

confidence: 99%

“…However, to deploy a vehicular cloud network in real world with high quality of service (QoS), there exist some challenges such as continuity of cloud services, the QoS received from the cloud servers, and accessibility to cloud resources. 7 This is because the mobility in vehicular nodes causes frequent change of network topology and communication technologies. This makes the vehicular nodes to traverse multiple cells as various communication technologies have varied coverage area.…”

Section: Introductionmentioning

confidence: 99%

An adaptive resource placement policy by optimizing live VM migration for ITS applications in vehicular cloud network

Midya

Roy

Majumder

et al. 2019

Trans Emerging Tel Tech

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Vehicular cloud computing (VCC) is a promising approach that uses cloud computing techniques in vehicular environment to execute smart applications. Vehicular environment is characterized by high mobility. This requires the services executed by a vehicular resource in a vehicular cloud to be migrated before it leaves a network. Migration is also required when a service‐requesting vehicle has to leave a network before its request is executed. Moreover, to balance the network load, virtual machine (VM) migration is desired as, at times, a single physical host may become overloaded. In this work, we propose an adaptive resource placement policy by optimizing live VM migration process in vehicular cloud network. The Pareto optimal mapping of migrating VMs to a physical host is carried out using a hybrid optimized algorithm, which is the combination of particle swarm optimization and genetic algorithm. The optimization is done by maximizing a fitness function that is developed by considering significant quality‐of‐service (QoS) parameters, such as network latency, migration delay, power consumption, and vehicular mobility. These QoS parameters are mathematically formulated in view of a vehicular network. The proposed algorithm reduces migration latency, transmission latency, and service delay. It also distributes the load among the available physical hosts within a cloud system, thus reducing the average wait time for each cloud user. Simulation results exhibit significant decrease in waiting time, service delay, and migration delay. It is also shown that the proposed algorithm reduces total power consumption of the system.

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“…Nowadays, researchers have expanded IoT with more technologies including sensors, network, data analysis, and various applications. Its applications include diverse and wide fields such as industries [16], environments [17], cities [18], transportation [19] and healthcare [20]. IoT consists of interconnected devices or Things that operate in Smart Environments and communicate data with virtual identification and/or personalities [21].…”

Section: Introductionmentioning

confidence: 99%

A Measure of Student Engagement for Serious Games and IoT

Henry

Tang

Hannenghan

et al. 2017

E-Learning and Games

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Abstract. Student Engagement has been a strong topic of research for the avoidance of student drop out and the increase in grading. Serious games have highlighted benefits in engaging students, primarily through edutainment, educating via games. This article suggests a Computer Algorithm, purposed at measuring and encouraging student engagement. In addition, the algorithm accounts for sensor networks accessed both directly and through the Internet, extending its application to the Internet of Things (IoT).

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Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies

Cited by 424 publications

References 8 publications

Topologies for combining the internet of things and serious games

Topologies for combining the internet of things and serious games

An adaptive resource placement policy by optimizing live VM migration for ITS applications in vehicular cloud network

A Measure of Student Engagement for Serious Games and IoT

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