scholarly journals Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Mihui Kim ◽  
Mihir Asthana ◽  
Siddhartha Bhargava ◽  
Kartik Krishnan Iyyer ◽  
Rohan Tangadpalliwar ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Service System ◽  
Value Added ◽  
Computing System ◽  
Sensor Data ◽  
Dynamic Provisioning ◽  
On Demand ◽  
Cloud Computing System ◽  
Iot Devices

The increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. However, the industry encounters various challenges in the dynamic provisioning of on-demand CSaaS on diverse sensor networks. We require a system that will provide users with standardized access to various sensor networks and a level of abstraction that hides the underlying complexity. In this study, we aim to develop a cloud-based solution to address the challenges mentioned earlier. Our solution, SenseCloud, includes asensor virtualizationmechanism that interfaces with diverse sensor networks, amultitenancymechanism that grants multiple users access to virtualized sensor networks while sharing the same underlying infrastructure, and adynamic provisioningmechanism to allow the users to leverage the vast pool of resources on demand and on a pay-per-use basis. We implement a prototype of SenseCloud by using real sensors and verify the feasibility of our system and its performance. SenseCloud bridges the gap between sensor providers and sensor data consumers who wish to utilize sensor data.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

scholarly journals Satellite Edge Computing for the Internet of Things in Aerospace

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4375 ◽  
Author(s):  
Yuxuan Wang ◽  
Jun Yang ◽  
Xiye Guo ◽  
Zhi Qu
Keyword(s):  
Internet Of Things ◽  
Computing System ◽  
Edge Computing ◽  
The Internet ◽  
New Paradigm ◽  
Long Distance ◽  
Modeling Analysis ◽  
Iot Devices ◽  
Terrestrial Network ◽  
The Internet Of Things

As one of the information industry’s future development directions, the Internet of Things (IoT) has been widely used. In order to reduce the pressure on the network caused by the long distance between the processing platform and the terminal, edge computing provides a new paradigm for IoT applications. In many scenarios, the IoT devices are distributed in remote areas or extreme terrain and cannot be accessed directly through the terrestrial network, and data transmission can only be achieved via satellite. However, traditional satellites are highly customized, and on-board resources are designed for specific applications rather than universal computing. Therefore, we propose to transform the traditional satellite into a space edge computing node. It can dynamically load software in orbit, flexibly share on-board resources, and provide services coordinated with the cloud. The corresponding hardware structure and software architecture of the satellite is presented. Through the modeling analysis and simulation experiments of the application scenarios, the results show that the space edge computing system takes less time and consumes less energy than the traditional satellite constellation. The quality of service is mainly related to the number of satellites, satellite performance, and task offloading strategy.

scholarly journals An adaptive method based on contextual anomaly detection in Internet of Things through wireless sensor networks

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772092047
Author(s):  
Xiang Yu ◽  
Hui Lu ◽  
Xianfei Yang ◽  
Ying Chen ◽  
Haifeng Song ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Anomaly Detection ◽  
Adaptive Method ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Detection Model ◽  
Implicit Information ◽  
Changes Over Time

With the widespread propagation of Internet of Things through wireless sensor networks, massive amounts of sensor data are being generated at an unprecedented rate, resulting in very large quantities of explicit or implicit information. When analyzing such sensor data, it is of particular importance to detect accurately and efficiently not only individual anomalous behaviors but also anomalous events (i.e. patterns of behaviors). However, most previous work has focused only on detecting anomalies while generally ignoring the correlations between them. Even in approaches that take into account correlations between anomalies, most disregard the fact that the anomaly status of sensor data changes over time. In this article, we propose an unsupervised contextual anomaly detection method in Internet of Things through wireless sensor networks. This method accounts for both a dynamic anomaly status and correlations between anomalies based contextually on their spatial and temporal neighbors. We then demonstrate the effectiveness of the proposed method in an anomaly detection model. The experimental results show that this method can accurately and efficiently detect not only individual anomalies but also anomalous events.

A Modeling Study of Sensor Data

2013 ◽  
Vol 765-767 ◽  
pp. 1259-1262
Author(s):  
Feng Liu ◽  
Jian Yong Wang ◽  
Ming Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Statistical Methods ◽  
Research Topic ◽  
Environmental Data ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Iot Applications ◽  
Data Estimation

Nowadays, Internet of Things (IoT) has been becoming a hot research topic. Being an important part of Internet of Things, the wireless sensor networks collect various types of environmental data and construct the fundamental structure of the IoT applications. In order to find out the characteristics of the environmental data, in this paper, we focus on four types of these sensor data: temperature, humidity, light and voltage, and employ statistical methods to analyze and model these sensor data. The results of our research can be used to solve the missing sensor data estimation problem which is inevitable in the wireless sensor networks.

scholarly journals Dynamic Secure Interconnection for Security Enhancement in Cloud Computing

2016 ◽  
Vol 11 (3) ◽  
pp. 348 ◽  
Author(s):  
Liwen He ◽  
Feiyi Huang ◽  
Jie Zhang ◽  
Bin Liu ◽  
Chunling Chen ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Service Provisioning ◽  
Efficiency Improvement ◽  
Resource Pooling ◽  
Security Issues ◽  
Security Enhancement ◽  
On Demand ◽  
Cloud Computing System ◽  
Demand Service

Cloud computing brings efficiency improvement on resource utilization nd other benefits such as on-demand service provisioning, location independence and biquitous access, elastic resource pooling, pay as usage pricing mode, etc. However, t also introduces new security issues because the data management and ownership re separated, and the management is operated on a virtualized platform. In this paper,  novel dynamic secure interconnection (DSI) mechanism is proposed to isolate he cloud computing system into a couple of dynamic virtual trust zones with different ecurity policies implemented for different customers so as to enhance security. xperimental results are presented to demonstrate the feasibility and effectiveness of he DSI mechanism.

Internet of Things and the Role of Wireless Sensor Networks in IoT

2021 ◽  
pp. 113-127
Author(s):  
Sunita Gupta ◽  
Sakar Gupta
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Smart Phones ◽  
Wireless Sensor ◽  
Ip Address ◽  
Exchange Information ◽  
Iot Devices

Internet of things (IoT) is a network of connected devices that work together and exchange information. In IoT, things or devices means any object with its own IP address that is able to connect to a network and can send and receive using internet. Examples of IoT devices are computers, laptops, smart phones, and objects that are operational with chips to collect and correspond data over a network. The range of internet of things devices is huge. Consumers use smart phones to correspond with IoT devices.

Issues and Concerns in Security of Cloud Environment in Internet of Things

2019 ◽  
Vol 16 (10) ◽  
pp. 4374-4378 ◽  
Author(s):  
Sakshi Anand ◽  
Avinash Sharma
Keyword(s):  
Internet Of Things ◽  
Daily Basis ◽  
The Internet ◽  
Cloud Environment ◽  
Security Issues ◽  
On Demand ◽  
Iot Devices ◽  
The Way

Internet of Things (IoT) is a permeative affair that is gaining heights with every passing day thus changing the way society has been living till now. Living in an era where every “thing” will be connected to the Internet is no more a dream. Now we can see people using IoT on daily basis like in the field of education, agriculture, transportation, healthcare, science and many more. Ranging from smart watches to automated machines in industries people have started using IoT for both personal and commercial purposes. With the talk of linking devices to the Internet comes the concept of Cloud. Before IoT was revolutionized, the main purpose of Cloud was to act upon relentless task involving factors like scalability, elasticity, adaptability and multitenancy. But as Internet of Things started gaining heights, there was a need to fulfill the demand of responding and managing issues and outcomes on the go, thus enhancing the features of Cloud making it omnipresent, nimble and flexible on demand. Now remotely tasks such as configuring, reviewing, updating, accessing the condition, extracting data etc. on IoT devices can be easily performed. But this added ease from the IoT Cloud exposed the IoT devices to various risks. In this paper we will be discussing different security issues that arise in IoT devices if the IoT Cloud gets compromised.

scholarly journals A Study on Data Security In Fog Computing

2018 ◽  
Vol 7 (2.19) ◽  
pp. 50
Author(s):  
P S.Apirajitha
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Security ◽  
Fog Computing ◽  
Daily Basis ◽  
Long Distance ◽  
Computing Power ◽  
On Demand ◽  
Iot Devices ◽  
The Cost

During the years, Cloud Computing is a popular paradigm which provide access to configurable resources on devices at any time,with on demand. Cloud Computing provides many benefits to enterprises by reducing the cost and allowing them to concentrate on their core business. Apart from this , the Development of Internet of Things came into existence, where the cloud divulge a long distance between users and its environment. Cloud Computing is also referred as heavy computing and dense form of computing power. In Spite of this  a new computing has been proposed called Fog Computing also known as Fogging, which overcomes the problem of cloud. Fog computing which majority supports the concepts of Internet of Things(IoT), where many  IoT devices are used by users on daily basis which are connected to each other. Fog Computing is also an extended version of cloud computing.  

scholarly journals Big NB-IoT Data: Enhancing Portability of Handheld Narrow-Band Internet of Things Performance on Big Data Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Jie Xu
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Network Optimization ◽  
Resource Sharing ◽  
Narrow Band ◽  
Research Work ◽  
Sensor Data ◽  
Battery Life ◽  
High Coverage ◽  
Iot Devices

The Narrow Band-Internet of Things (NB-IoT) is a wideband radio technology developed for the Internet of Things that enables smoother- and farther-reaching connectivity between IoT devices. In addition to traditional network optimization devices, Bluetooth and Wi-Fi, its virtue is low cost, and it consumes less energy and has high coverage and extended battery life. In order to secure the balance of task execution latency across NB-IoT devices, in this research work, we design a handheld NB-IoT wireless communication device. Furthermore, we provide realistic resource-sharing methods between multimedia and sensor data in NB-IoT wireless deployment by our accurate analytical methodology. In addition, we have considerably enhanced technology for gathering Big Data from several scattered sources, in combination with advancements in big data processing methodologies. The proposed handheld terminal has a wide variety of commercial applications in intelligent manufacturing and smart parking. Simulation outcomes illustrate the benefits of our handheld terminal, which provides practical solutions for network optimization, improving market share and penetration rate.

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