TROD: Throughput-Optimal Dynamic Data Traffic Management in Software-Defined Networks

The hest for technological advancement in mobile communication is due to augmentation of wireless user. The deployment of 5G mobile communication is less than 4G mobile communication due to challenges in security like cyberwarfare, espionage, critical infrastructure threats. Nevertheless, critic of neurological discomforts, tissue damage in living organisms occur in the existence of EMF radiation. Also, physical scarcity for spectral efficiency arises due to ubiquitous data traffic. Inspite of these disputes data rate, low latency, device to device communication is also a challenge. In this paper we provide a survey on radiation effects, security threats, traffic management.

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The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things

Advances in Computer and Electrical Engineering - Innovations in the Industrial Internet of Things (IIoT) and Smart Factory ◽

10.4018/978-1-7998-3375-8.ch001 ◽

2021 ◽

pp. 1-16

Author(s):

Sasikala Chinthakunta ◽

Shoba Bindu Chigarapalle ◽

Sudheer Kumar E.

Keyword(s):

Data Storage ◽

Smart Grids ◽

Traffic Management ◽

Fog Computing ◽

Poor Quality ◽

Data Traffic ◽

Cloud Data ◽

Security Issues ◽

Huge Data ◽

Iot Devices

Typically, the analysis of the industrial big data is done at the cloud. If the technology of IIoT is relying on cloud, data from the billions of internet-connected devices are voluminous and demand to be processed within the cloud DCs. Most of the IoT infrastructures—smart driving and car parking systems, smart vehicular traffic management systems, and smart grids—are observed to demand low-latency, real-time services from the service providers. Since cloud includes data storage, processing, and computation only within DCs, huge data traffic generated from the IoT devices probably experience a network bottleneck, high service latency, and poor quality of service (QoS). Hence, the placement of an intermediary node that can perform tasks efficiently and effectively is an unavoidable requirement of IIoT. Fog can be such an intermediary node because of its ability and location to perform tasks at the premise of an industry in a timely manner. This chapter discusses challenges, need, and framework of fog computing, security issues, and solutions of fog computing for IIoT.

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A Communication Model Based on Fractal Geometry for Internet of Things

Handbook of Research on Software Quality Innovation in Interactive Systems - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-7998-7010-4.ch007 ◽

2021 ◽

pp. 192-212

Author(s):

Sergio Ariel Salinas

Keyword(s):

Internet Of Things ◽

Human Activities ◽

Fractal Geometry ◽

Physical System ◽

Traffic Management ◽

Communication Model ◽

Resource Usage ◽

Data Traffic ◽

Strongly Coupled ◽

Decentralized Model

Internet of things (IoT) is a paradigm that involves an increasing number of human activities. IoT fuses heterogeneous electronic devices and processes into cyber physical system (CPS) to improve conventional processes efficiency in terms of performance and resource usage. The Institute of Electrical and Electronics Engineering (IEEE) has polled more than 150 IoT scenarios based on CPSs to be developed in the next years. A CPS is strongly coupled to a communication system for interchanging data among devices that orchestrate actions in certain environments such as a factory. In general, a decentralized communication model is more resilient and efficient in data traffic management than centralized model. A problem with decentralized models is how to keep track of nodes location without a centralized service that keeps updated data of nodes. This work describes a decentralized model where any node is able to be located based on its identification in the system.

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