A Collaborative Approach of IoT, Big Data, and Smart City

Jayashree, K.; Abirami, R.; Babu, R.

doi:10.4018/978-1-5225-6207-8.ch002

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…An Intelligent Transport System (ITS) transport sector, according to the report, requires a common set of standards, a uni ed technical platform, system engineering principles, and an IT architecture and infrastructure. [15] [20] The research is a review approach that surveyed different intelligent transport system methodologies and IoT-based smart public transportation. The paper's goal is to study existing ITS models to learn their inner workings and compare them to one another.…”

Section: Literature Surveymentioning

confidence: 99%

Velocious: A Resilient IoT Architecture for 6G based Intelligent Transportation System with Expeditious Movement Mechanism

Amutha

2024

Preprint

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The Internet of Things [IoT] has provided fascinating solutions in various fields. As the significant usages of IoT in smart cities incorporate almost all the domains such as healthcare, Vehicle to Vehicle (V2V), Energy sector, home automation, pollution monitoring, garbage collection, gardening, environment, road and rail transportation, education, public and private sector organization, etc., the need for developing an intelligent IoT architecture for every domain is a paramount criterion. In this research, we are interested in designing and developing, an IoT architecture, Velocious, which will provide a fast and speedy transportation system without delay and with a greater obstacle avoidance mechanism. The integration of sensors and actuators with a cognitive level of thinking based on circumstances leads to decisions with reasoning using the explainable Artificial Intelligence (AI) concept. The procedure of data acquisition, data transferring, and data interpretation requires a federated learning concept with context awareness where the location, time, and situation act as the prime context in decision-making. It can be purported that the development of a smart city relies on different sectors, and consequently the development of an Intelligent Transport System (ITS), highly relies on expansion. Development, penetration, and growth of IoT technologies with seamless integration with other domain architectures too. To lead a smart and safe travel with fuel consumption, obstacle avoidance, and traffic management decisions are mandated with explainable Artificial Intelligence (AI) which could be built in Velocious. This research provides Velocious to be applicable to incorporate integrating all the necessary information required for setting up decisions and making rules. These types of rules can also be viewed as a rule set with proper explanations in decision-making in critical circumstances. Meanwhile, the developed Velocious IoT architecture can also be integrated seamlessly with other IoT architectures for smart Energy, smart health care, etc., for the development of smart cities.

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Section: Literature Surveymentioning

confidence: 99%

Velocious: A Resilient IoT Architecture for 6G based Intelligent Transportation System with Expeditious Movement Mechanism

Amutha

2024

Preprint

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“…The rapid development of the Internet of things (IoT) and big data technology has spawned many new smart application domains for the urban environment. The massive amount of information collected in IoT is shared across assorted platforms and applications to predict the planning and development of cities, thus accelerating the construction process of smart cities [1]. The intelligent transportation system (ITS) [2], for example, one of the important application domains in smart cities, generates great amounts of realtime GPS data every day.…”

Section: Introductionmentioning

confidence: 99%

Privacy and Utility Preserving Trajectory Data Publishing for Intelligent Transportation Systems

Liu

Zhu

2020

IEEE Access

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Nowadays, the extensive collection and storage of massive personal GPS data in intelligent transportation systems every day provide great convenience for trajectory data analysis and mining research, thus bringing valuable information for real-life applications. Yet, protecting personal privacy is also more challenging in the smart environment. When trajectories of individuals are published together with their sensitive attributes such as disease, income etc., one can use partial trajectory knowledge for identity, sensitive locations, and sensitive values of target individuals. We present (α, K) L-privacy model and an anonymization scheme aimed at Identifying and Eliminating Violating privacy Subtrajectories (IEVS), to prevent privacy disclosure while preserving the accuracy and high quality of published trajectories. In particular, IEVS employs three anonymization techniques, i.e., trajectory splitting, location suppression, and sensitive value generalization to eliminate all subtrajectories violating (α, K) L-privacy principle. Experiments show our scheme is effective to improve the data utility of anonymized trajectories when compared with previous work.

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“…In general, the data generated from smart cities are usually not easy to understand by humans because it has the challenges related to big data. e concept of Big Data is clari ed by considering ve Vs [10]:…”

Section: Introductionmentioning

confidence: 99%

Semantic Smart World Framework

ElDahshan

Elsayed

Mancy

2020

Applied Computational Intelligence and Soft Computing

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This paper presents a general Semantic Smart World framework (SSWF), to cover the Migratory birds’ paths. This framework combines semantic and big data technologies to support meaning for big data. In order to build the proposed smart world framework, technologies such as cloud computing, semantic technology, big data, data visualization, and the Internet of Things are hybrid. We demonstrate the proposed framework through a case study of automatic prediction of air quality index and different weather phenomena in the different locations in the world. We discover the association between air pollution and increasing weather conditions. The experimental results indicate that the framework performance is suitable for heterogeneous big data.

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A Collaborative Approach of IoT, Big Data, and Smart City

Cited by 8 publications

References 28 publications

Velocious: A Resilient IoT Architecture for 6G based Intelligent Transportation System with Expeditious Movement Mechanism

Velocious: A Resilient IoT Architecture for 6G based Intelligent Transportation System with Expeditious Movement Mechanism

Privacy and Utility Preserving Trajectory Data Publishing for Intelligent Transportation Systems

Semantic Smart World Framework

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