scholarly journals Edge Network Optimization Based on AI Techniques: A Survey

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2830
Author(s):  
Mitra Pooyandeh ◽  
Insoo Sohn

The network edge is becoming a new solution for reducing latency and saving bandwidth in the Internet of Things (IoT) network. The goal of the network edge is to move computation from cloud servers to the edge of the network near the IoT devices. The network edge, which needs to make smart decisions with a high level of response time, needs intelligence processing based on artificial intelligence (AI). AI is becoming a key component in many edge devices, including cars, drones, robots, and smart IoT devices. This paper describes the role of AI in a network edge. Moreover, this paper elaborates and discusses the optimization methods for an edge network based on AI techniques. Finally, the paper considers the security issue as a major concern and prospective approaches to solving this issue in an edge network.

Author(s):  
Tanweer Alam

In next-generation computing, the role of cloud, internet and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store big data in the cloud. The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT. The IoT devices are called fog nodes, they can have accessed anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing a new blockchains based middleware framework in the architecture of the Internet of Things is one of the critical issues of wireless networking where resolving such an issue would result in constant growth in the use and popularity of IoT. The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology. Our main contribution links a new study that integrates blockchains to the Internet of things and provides communication security to the internet of smart devices.


2020 ◽  
Author(s):  
Tanweer Alam

The Internet of Things (IoT) devices have the capabilities to interact and communicate in 5G heterogeneous networks. They also have the capabilities to form a network with neighborhood devices without a centralized approach. This network is called the mobile ad hoc network (MANET). Through an infrastructure-less system of the Internet of Things environment, the MANET enables IoT nodes to interact with one another. Those IoT nodes could interactively connect, communicate as well as share knowledge between several nodes. The role of cloud throughout this structure is to store as well as interpret information through IoT nodes. The communication security has been introduced as one of the techniques to solve the data transmission security issue that could result in increased performance in cloud consumption and ubiquity. The purpose of this research is to establish a communication system among IoT nodes in an embedded Cloud and MANET structure. Aiming to create an efficient and secure approach for communication in Cloud-MANET-IoT integrated framework, this approach has been implemented and tested.


Author(s):  
Yong Kyu Lee

This chapter reviews the internet of things (IoT) as a key component of a smart city and how it is applied to consumers' daily lives and business. The IoT is a part of information and communication technology (ICT) and is considered a powerful means to improve consumers' quality of life. The “thing” could be any object which has internet capability, such as wearable devices and smart TVs/phones/speakers. Several studies have identified driving factors that have led consumers to adopting them, but also concerns of consumers' resistance to IoT devices. The three major fields of application of IoT technologies were selected to review the role of the IoT in consumers' daily lives and business.


2020 ◽  
Author(s):  
Tanweer Alam

The Internet of Things (IoT) devices have capabilities to interact and communicate in 5G heterogeneous networks. The IoT devices also have capabilities to form a network with neighborhood devices without a centralized approach. This network is called the mobile ad hoc network (MANET). Through an infrastructure-less system of the Internet of Things environment, the MANET enables IoT nodes to interact with one another. Those IoT nodes could interactively connect, communicate as well as share knowledge between several nodes. The role of cloud throughout this structure would be to store as well as interpret information through IoT nodes. The communication security has also been introduced to be one of the techniques in which trying to solve the data transmission security issue that could result in the performance increase in cloud consumption and ubiquity. Our purpose in this research would be to establish a communication system among IoT nodes in such an embedded Cloud and MANET structure. The main goal of this research is to create an efficient and secure approach for communication in Cloud-MANET-IoT integrated framework. This approach is implemented and tested.


2020 ◽  
Author(s):  
Tanweer Alam

The Internet of Things (IoT) devices have capabilities to interact and communicate in 5G heterogeneous networks. The IoT devices also have capabilities to form a network with neighborhood devices without a centralized approach. This network is called the mobile ad hoc network (MANET). Through an infrastructure-less system of the Internet of Things environment, the MANET enables IoT nodes to interact with one another. Those IoT nodes could interactively connect, communicate as well as share knowledge between several nodes. The role of cloud throughout this structure would be to store as well as interpret information through IoT nodes. The communication security has also been introduced to be one of the techniques in which trying to solve the data transmission security issue that could result in the performance increase in cloud consumption and ubiquity. Our purpose in this research would be to establish a communication system among IoT nodes in such an embedded Cloud and MANET structure. The main goal of this research is to create an efficient and secure approach for communication in Cloud-MANET-IoT integrated framework. This approach is implemented and tested.


2016 ◽  
Vol 54 (2(108)) ◽  
pp. 22-36
Author(s):  
Christopher Biedermann

PURPOSE/THESIS: The purpose of this paper is to use a recent cyber-attack to highlight the current state of readiness of Internet of Things (IoT) technologies with regard to security vulnerabilities as well as fundamental – in the author’s opinion – changes that will need to take place within these industries and technologies to mitigate the overall cybersecurity risk. APPROACH/METHODS: The analysis of the findings from numerous existing published security studies. RESULTS AND CONCLUSIONS: The following conclusions were reached: (1) in the world becoming more and more interconnected through the web enabled devices (IoT devices), new forms of security threats have been developed; (2) at present IoT devices introduce a high level of vulnerability; (3) many of these risks may be mitigated with already existing technologies; (4) however, due to the fragmented and heterogeneous nature of the IoT devices, the implementation of even basic levels of security is more challenging than in the case of traditional Internet connected devices (e.g. personal computers); (5) the industry needs to face and address three key issues that will in turn help to mitigate the unique security threats posed by IoT devices, namely: the drive towards open standards, the industry cooperation and consolidation, and the improvement of consumer awareness. ORIGINALITY/VALUE: The value of the research is to highlight the security issues related to the Internet of Things and propose solutions that must be implemented to increase the level of security awareness within the IoT environment.


Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2533 ◽  
Author(s):  
Massimo Merenda ◽  
Carlo Porcaro ◽  
Demetrio Iero

In a few years, the world will be populated by billions of connected devices that will be placed in our homes, cities, vehicles, and industries. Devices with limited resources will interact with the surrounding environment and users. Many of these devices will be based on machine learning models to decode meaning and behavior behind sensors’ data, to implement accurate predictions and make decisions. The bottleneck will be the high level of connected things that could congest the network. Hence, the need to incorporate intelligence on end devices using machine learning algorithms. Deploying machine learning on such edge devices improves the network congestion by allowing computations to be performed close to the data sources. The aim of this work is to provide a review of the main techniques that guarantee the execution of machine learning models on hardware with low performances in the Internet of Things paradigm, paving the way to the Internet of Conscious Things. In this work, a detailed review on models, architecture, and requirements on solutions that implement edge machine learning on Internet of Things devices is presented, with the main goal to define the state of the art and envisioning development requirements. Furthermore, an example of edge machine learning implementation on a microcontroller will be provided, commonly regarded as the machine learning “Hello World”.


The participation of Internet devices in different communications through embedded technologies and the adaptive and interactive nature of each communication affects future development tools and applications. The majority of IoT devices are able to communicate over a wireless network, improving their usability and scalability quickly. But these usability improvements drew the attackers' attention to their personal advantages and created numerous security challenges for detection and protection. Because devices are exposed to the Internet to deliver services, they are particularly vulnerable to various threats to security and privacy.Therefore, a major concern on the Internet of Things (IoT) is the discovery of such abnormal activities that pose a security threat so that appropriate solutions can be provided with a high level of reliability. This paper will be based on a detailed overview of IoT wireless security issues and abnormal activity detection methods. It also provided an overview of the various anomaly detection models and security challenges for launching the IoT connection to the wireless network.


Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Pete Burnap ◽  
Eirini Anthi ◽  
...  

The Internet-of-Things (IoT) enables enterprises to obtain profits from data but triggers data protection questions and new types of cyber risk. Cyber risk regulations for the IoT however do not exist. The IoT risk is not included in the cyber security assessment standards, hence, often not visible to cyber security experts. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. The outcome of such self-assessment needs to define a current and target state, prior to creating a transformation roadmap outlining tasks to achieve the stated target state. In this article, a comparative empirical analysis is performed of multiple cyber risk assessment approaches, to define a high-level potential target state for company integrating IoT devices and/or services. Defining a high-level potential target state represent is followed by a high-level transformation roadmap, describing how company can achieve their target state, based on their current state. The transformation roadmap is used to adapt IoT risk impact assessment with a Goal-Oriented Approach and the Internet of Things Micro Mart model.


2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Bambang Widagdo ◽  
Mochamad Rofik

The economic diversification concept gives hope for a country with rich natural resources to strengthen its economic basis. Thus industrial revolution era of 4.0 provides great opportunity to fasten the process. A study by McKensey in 2011 proved that the internet in the developing country contributes around 3.4% towards its GDP which means that the internet has become a new hope for the economy in the future. Indonesia is one of the countries that is attempting to maximize the role of the Internet of Things (IoT) for its economic growth.� The attempt has made the retail and tourism industries as the two main sectors to experience the significant effect of IoT. In the process of optimizing the IoT to support the economic growth, Indonesia faces several issues especially in the term of the internet network quality and its distribution, the inclusive access of financial access and the infrastructure


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