scholarly journals Mobility-Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Dmitry Kozyrev ◽  
Aleksandr Ometov ◽  
Dmitri Moltchanov ◽  
Vladimir Rykov ◽  
Dmitry Efrosinin ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Power Efficiency ◽  
Base Stations ◽  
Mathematical Framework ◽  
Content Dissemination ◽  
Iot Devices ◽  
The Impact ◽  
New Infrastructure

Today, the number of interconnected Internet of Things (IoT) devices is growing tremendously followed by an increase in the density of cellular base stations. This trend has an adverse effect on the power efficiency of communication, since each new infrastructure node requires a significant amount of energy. Numerous enablers are already in place to offload the scarce cellular spectrum, thus allowing utilization of more energy-efficient short-range radio technologies for user content dissemination, such as moving relay stations and network-assisted direct connectivity. In this work, we contribute a new mathematical framework aimed at analyzing the impact of network offloading on the probabilistic characteristics related to the quality of service and thus helping relieve the energy burden on infrastructure network deployments.

Internet of Things Applications

2016 ◽  
pp. 397-427 ◽  
Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Mobile Devices ◽  
Physical Space ◽  
The Internet ◽  
Everyday Objects ◽  
Iot Applications ◽  
The Impact ◽  
The Internet Of Things

The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity not only to computer and mobile devices but also to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. This chapter briefly surveys some IoT applications and the impact the IoT could have on societies. It shows how the various application of the IoT enhances the overall quality of life and reduces management and costs in various sectors.

scholarly journals The Internet of Things (IoT) and Social Interaction: Influence of Source Attribution and Human Specialization

2021 ◽  
Vol 9 (1) ◽  
pp. 17-28
Author(s):  
Siddhartha Vadlamudi
Keyword(s):  
Internet Of Things ◽  
Multiple Source ◽  
The Internet ◽  
Source Attribution ◽  
Source Effects ◽  
Physical Setting ◽  
Worldwide Web ◽  
Iot Devices ◽  
The Internet Of Things

The evolvement of IT has open new doors in connecting many devices to the worldwide web that successively produce data around the physical setting using the IoT. However, the system of message turns out to be slightly intricate in human specialization-internet of things communication for the reason that the IoT is a system including diverse objects transferring data This study examines the hypothetical pathway by which the changes in source attribution that is multiple against single and specialization that is multi-functionality against single functionality of IoT devices affect the quality of human- internet of things interaction. The result from the study obtained from 80 participants that took part in the experiment shows that multiple source attribution improves the condition of information basically for the low-involvement people supports further probes the multiple source effects. However, this study recommends improvement of attribution source and human specialization-IoT.

scholarly journals Adjusting Group Communication in Dense Internet of Things Networks with Heterogeneous Energy Sources

2019 ◽  
Author(s):  
Renato Mota ◽  
André Riker ◽  
Denis Rosário
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Group Communication ◽  
State Of The Art ◽  
Dynamic Control ◽  
Energy Resources ◽  
Extensive Evaluation ◽  
Message Loss ◽  
Loss Event ◽  
Iot Devices

Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and to disseminate data. In this sense, one of the main challenges in IoT environments is to dynamically manage communication characteristics of IoT devices to decrease congestion, traffic collisions, and excessive data collection, as well as to balance the use of energy resources. In this paper, we introduce an energy-efficient and reliable Self Adjusting group communication of dense IoT Network, called SADIN. It configures the communication settings to ensure a dynamic control of IoT devices considering a comprehensive set of aspects, i.e., traffic loss, event relevance, amount of nodes with renewable batteries, and the number of observers. Specifically, SADIN changes the communication interval, the number of data producers, the reliability level of the network. Extensive evaluation results show that SADIN improves system performance in terms of message loss, energy consumption, and reliability compared to state-of-the-art protocol.

scholarly journals Energy Efficiency Optimization of Cognitive UAV-Assisted Edge Communication for Semantic Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yilong Gu ◽  
Yangchao Huang ◽  
Hang Hu ◽  
Weiting Gao ◽  
Yu Pan
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Optimization Problem ◽  
Optimization Scheme ◽  
Battery Capacity ◽  
Aerial Vehicle ◽  
Efficient Alternative ◽  
The Internet Of Things

With the consolidation of the Internet of Things (IoT), the unmanned aerial vehicle- (UAV-) based IoT has attracted much attention in recent years. In the IoT, cognitive UAV can not only overcome the problem of spectrum scarcity but also improve the communication quality of the edge nodes. However, due to the generation of massive and redundant IoT data, it is difficult to realize the mutual understanding between UAV and ground nodes. At the same time, the performance of the UAV is severely limited by its battery capacity. In order to form an autonomous and energy-efficient IoT system, we investigate semantically driven cognitive UAV networks to maximize the energy efficiency (EE). The semantic device model for cognitive UAV-assisted IoT communication is constructed. And the sensing time, the flight speed of UAV, and the coverage range of UAV communication are jointly optimized to maximize the EE. Then, an efficient alternative algorithm is proposed to solve the optimization problem. Finally, we provide computer simulations to validate the proposed algorithm. The performance of the joint optimization scheme based on the proposed algorithm is compared to some benchmark schemes. And the simulation results show that the proposed scheme can obtain the optimal system parameters and can significantly improve the EE.

Review of the Role of the Internet of Things (IoT) on the Consumer Market

2021 ◽  
pp. 180-198
Author(s):  
Yong Kyu Lee
Keyword(s):  
Internet Of Things ◽  
Wearable Devices ◽  
The Internet ◽  
Consumer Market ◽  
Daily Lives ◽  
Information And Communication ◽  
Iot Devices ◽  
The Internet Of Things

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.

Influence of IoT Policy on Quality of Life

2019 ◽  
Vol 15 (2) ◽  
pp. 19-38 ◽  
Author(s):  
Sheshadri Chatterjee
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Structural Equation ◽  
Good Governance ◽  
Equation Modeling ◽  
The Internet ◽  
The Government ◽  
The Impact ◽  
The Internet Of Things

In this study, an attempt was taken to identify the issues concerning to regulations and governance which could substantially influence the citizens of India relating to adoption of the Internet of Things. The objective of this study is to highlight the importance of Internet of Things policymaking by the Government of India prescribing proper regulatory frameworks and good governance for effective and successful adoption of the Internet of Things by the citizens of India. An empirical approach has been taken for understanding the impact of IoT policy towards adoption of IoT enabled devices by the citizens of India. Structural equation modeling (SEM) has been used towards analysis of the data collected from three metro cities in India. The study finds out the impact of IoT policy towards adoption of the Internet of Things by the citizens in India and its importance towards improving the quality of life of the citizens of India.

scholarly journals E2-MACH: Energy efficient multi-attribute based clustering scheme for energy harvesting wireless sensor networks

2020 ◽  
Vol 16 (10) ◽  
pp. 155014772096804
Author(s):  
Inam Ul Haq ◽  
Qaisar Javaid ◽  
Zahid Ullah ◽  
Zafar Zaheer ◽  
Mohsin Raza ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Packet Loss ◽  
Energy Efficient ◽  
Cluster Head ◽  
Wireless Sensor

Internet of things have emerged enough due to its applications in a wide range of fields such as governance, industry, healthcare, and smart environments (home, smart, cities, and so on). Internet of things–based networks connect smart devices ubiquitously. In such scenario, the role of wireless sensor networks becomes vital in order to enhance the ubiquity of the Internet of things devices with lower cost and easy deployment. The sensor nodes are limited in terms of energy storage, processing, and data storage capabilities, while their radio frequencies are very sensitive to noise and interference. These factors consequently threaten the energy consumption, lifetime, and throughput of network. One way to cope with energy consumption issue is energy harvesting techniques used in wireless sensor network–based Internet of things. However, some recent studies addressed the problems of clustering and routing in energy harvesting wireless sensor networks which either concentrate on energy efficiency or quality of service. There is a need of an adequate approach that can perform efficiently in terms of energy utilization as well as to ensure the quality of service. In this article, a novel protocol named energy-efficient multi-attribute-based clustering scheme (E2-MACH) is proposed which addresses the energy efficiency and communication reliability. It uses selection criteria of reliable cluster head based on a weighted function defined by multiple attributes such as link statistics, neighborhood density, current residual energy, and the rate of energy harvesting of nodes. The consideration of such parameters in cluster head selection helps to preserve the node’s energy and reduce its consumption by sending data over links possessing better signal-to-noise ratio and hence ensure minimum packet loss. The minimized packet loss ratio contributes toward enhanced network throughput, energy consumption, and lifetime with better service availability for Internet of things applications. A set of experiments using network simulator 2 revealed that our proposed approach outperforms the state-of-the-art low-energy adaptive clustering hierarchy and other recent protocols in terms of first-node death, overall energy consumption, and network throughput.

scholarly journals ThingsLocate: A ThingSpeak-Based Indoor Positioning Platform for Academic Research on Location-Aware Internet of Things

Technologies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50 ◽  
Author(s):  
Luca De De Nardis ◽  
Giuseppe Caso ◽  
Maria Gabriella Di Benedetto
Keyword(s):  
Internet Of Things ◽  
Academic Research ◽  
Cloud Service ◽  
Indoor Positioning ◽  
Location Awareness ◽  
Graduate Studies ◽  
Iot Devices ◽  
Location Channel ◽  
User Friendly ◽  
The Impact

Seamless location awareness is considered a cornerstone in the successful deployment of the Internet of Things (IoT). Support for IoT devices in indoor positioning platforms and, vice versa, availability of indoor positioning functions in IoT platforms, are however still in their early stages, posing a significant challenge in the study and research of the interaction of indoor positioning and IoT. This paper proposes a new indoor positioning platform, called ThingsLocate, that fills this gap by building upon the popular and flexible ThingSpeak cloud service for IoT, leveraging its data input and data processing capabilities and, most importantly, its native support for cloud execution of Matlab code. ThingsLocate provides a flexible, user-friendly WiFi fingerprinting indoor positioning service for IoT devices, based on Received Signal Strength Indicator (RSSI) information. The key components of ThingsLocate are introduced and described: RSSI channels used by IoT devices to provide WiFi RSSI data, an Analysis app estimating the position of the device, and a Location channel to publish such estimate. A proof-of-concept implementation of ThingsLocate is then introduced, and used to show the possibilities offered by the platform in the context of graduate studies and academic research on indoor positioning for IoT. Results of an experiment enabled by ThingsLocate with limited setup and no coding effort are presented, focusing on the impact of using different devices and different positioning algorithms on positioning accuracy.

A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things

2021 ◽  
Vol 2 (4) ◽  
pp. 1-23
Author(s):  
Morshed Chowdhury ◽  
Biplob Ray ◽  
Sujan Chowdhury ◽  
Sutharshan Rajasegarar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Network Traffic ◽  
The Internet ◽  
Traffic Data ◽  
Lossy Networks ◽  
Insider Attack ◽  
Iot Devices ◽  
The Impact ◽  
The Internet Of Things

Due to the widespread functional benefits, such as supporting internet connectivity, having high visibility and enabling easy connectivity between sensors, the Internet of Things (IoT) has become popular and used in many applications, such as for smart city, smart health, smart home, and smart vehicle realizations. These IoT-based systems contribute to both daily life and business, including sensitive and emergency situations. In general, the devices or sensors used in the IoT have very limited computational power, storage capacity, and communication capabilities, but they help to collect a large amount of data as well as maintain communication with the other devices in the network. Since most of the IoT devices have no physical security, and often are open to everyone via radio communication and via the internet, they are highly vulnerable to existing and emerging novel security attacks. Further, the IoT devices are usually integrated with the corporate networks; in this case, the impact of attacks will be much more significant than operating in isolation. Due to the constraints of the IoT devices, and the nature of their operation, existing security mechanisms are less effective for countering the attacks that are specific to the IoT-based systems. This article presents a new insider attack, named loophole attack , that exploits the vulnerabilities present in a widely used IPv6 routing protocol in IoT-based systems, called RPL (Routing over Low Power and Lossy Networks). To protect the IoT system from this insider attack, a machine learning based security mechanism is presented. The proposed attack has been implemented using a Contiki IoT operating system that runs on the Cooja simulator, and the impacts of the attack are analyzed. Evaluation on the collected network traffic data demonstrates that the machine learning based approaches, along with the proposed features, help to accurately detect the insider attack from the network traffic data.

scholarly journals Integration of Heterogeneous Devices and Communication Models via the Cloud in the Constrained Internet of Things

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Floris Van den Abeele ◽  
Jeroen Hoebeke ◽  
Ingrid Moerman ◽  
Piet Demeester
Keyword(s):  
Internet Of Things ◽  
Network Connectivity ◽  
Heterogeneous Devices ◽  
Communication Models ◽  
Iot Devices ◽  
Control And Management ◽  
The Impact ◽  
Communication Methods ◽  
The Internet Of Things ◽  
Constrained Devices

As the Internet of Things continues to expand in the coming years, the need for services that span multiple IoT application domains will continue to increase in order to realize the efficiency gains promised by the IoT. Today, however, service developers looking to add value on top of existing IoT systems are faced with very heterogeneous devices and systems. These systems implement a wide variety of network connectivity options, protocols (proprietary or standards-based), and communication methods all of which are unknown to a service developer that is new to the IoT. Even within one IoT standard, a device typically has multiple options for communicating with others. In order to alleviate service developers from these concerns, this paper presents a cloud-based platform for integrating heterogeneous constrained IoT devices and communication models into services. Our evaluation shows that the impact of our approach on the operation of constrained devices is minimal while providing a tangible benefit in service integration of low-resource IoT devices. A proof of concept demonstrates the latter by means of a control and management dashboard for constrained devices that was implemented on top of the presented platform. The results of our work enable service developers to more easily implement and deploy services that span a wide variety of IoT application domains.

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