scholarly journals A Real-time Linked Dataspace for the Internet of Things: Enabling “Pay-As-You-Go” Data Management in Smart Environments

2019 ◽  
Vol 90 ◽  
pp. 405-422 ◽  
Author(s):  
Edward Curry ◽  
Wassim Derguech ◽  
Souleiman Hasan ◽  
Christos Kouroupetroglou ◽  
Umair ul Hassan
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
Real Time ◽  
The Internet ◽  
Smart Environments ◽  
The Internet Of Things

scholarly journals Automatic control system based on iot data identification

2020 ◽  
Vol 19 (3) ◽  
pp. 1525
Author(s):  
Hankil Kim ◽  
Jaehyun Park ◽  
Hoekyung Jung
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Real Time ◽  
Smart Home ◽  
The Internet ◽  
Smart Environments ◽  
Industrial Iot ◽  
Time Work ◽  
To Receive ◽  
The Internet Of Things

<p>Recently, as the Internet of Things (IoT) technology has developed, researches are rigorously conducted to construct smart environments such as smart home, smart grid, and industrial IoT. However, currently existing systems consists of a series of events, and even if an existing task is running, unnecessary work still occurs as both works happen simultaneously. In this paper, we propose an automatic work control system to solve this problem. The proposed system transmits the data measured by the sensor to the server and identifies non - real - time tasks such as real - time work which is related to the dangerous situations, ventilation and temperature control. In addition, priority among the tasks is set in a way that existing tasks are stopped when high priority tasks occur. Accordingly, this can reduce the unnecessary waste of power, and the user is able to receive a proactive service.</p>

Data Management for the Internet of Things

2020 ◽  
pp. 89-103
Author(s):  
Amrit Sahani ◽  
Ranjit Kumar ◽  
Suchismita Chinara ◽  
Anjali Kumari ◽  
Bina Patro
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
The Internet ◽  
The Internet Of Things

Applying Security to a Big Stream Cloud Architecture for the Internet of Things

2020 ◽  
pp. 1260-1284
Author(s):  
Laura Belli ◽  
Simone Cirani ◽  
Luca Davoli ◽  
Gianluigi Ferrari ◽  
Lorenzo Melegari ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Large Data ◽  
The Internet ◽  
Low Latency ◽  
Stream Data ◽  
Memory Processing ◽  
Cloud Architecture ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) is expected to interconnect billions (around 50 by 2020) of heterogeneous sensor/actuator-equipped devices denoted as “Smart Objects” (SOs), characterized by constrained resources in terms of memory, processing, and communication reliability. Several IoT applications have real-time and low-latency requirements and must rely on architectures specifically designed to manage gigantic streams of information (in terms of number of data sources and transmission data rate). We refer to “Big Stream” as the paradigm which best fits the selected IoT scenario, in contrast to the traditional “Big Data” concept, which does not consider real-time constraints. Moreover, there are many security concerns related to IoT devices and to the Cloud. In this paper, we analyze security aspects in a novel Cloud architecture for Big Stream applications, which efficiently handles Big Stream data through a Graph-based platform and delivers processed data to consumers, with low latency. The authors detail each module defined in the system architecture, describing all refinements required to make the platform able to secure large data streams. An experimentation is also conducted in order to evaluate the performance of the proposed architecture when integrating security mechanisms.

Testing MANET Protocol using Zigbee based Xbee Modules

2016 ◽  
Vol 3 (2) ◽  
pp. 441
Author(s):  
S. Sundar ◽  
Piyush Arora ◽  
Sarthak Agrawal ◽  
R. Kumar ◽  
Harish M. Kittur
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Mobile Phone ◽  
Real Time ◽  
Sensor Network ◽  
Wireless Network ◽  
Wireless Sensor ◽  
The Internet ◽  
Popular Approach ◽  
The Internet Of Things

<p>In the last few years,there has been big interest in adhoc wireless network as they have tremendous military and commercial potential[1].Traditionally to test various parameters in the MANET , the most popular approach is to use mobile phone and Laptops and use the popular WIFI based protocol . But in the recent years there is a huge attraction towards the Internet Of things and specifically wireless sensor network. In this paper we are going to test the MANET protocol using zigbee based XBee modules specifally to determine the Range and Throughput of the Xbee netowork using XCTU Software . The sensor network will be deployed in the car parking application to see the parameters in the real time and dynamically see the sustainability of the network .The network is being designed keeping in mind that the nodes are mobile and at the same time the network does not require a standard infrastructure.</p>

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