scholarly journals Data Acquisition and Dissemination for the Internet of Nano Things

2021 ◽  
Author(s):  
◽  
Hang Yu
Keyword(s):  
Data Acquisition ◽  
Network Performance ◽  
Utilization Efficiency ◽  
The Internet ◽  
Pulse Interval ◽  
Data Delivery ◽  
Limited Bandwidth ◽  
Channel Conditions ◽  
Selective Channel ◽  
Event Based

<p>Electromagnetic-based Wireless NanoSensor Networks (EM-WNSNs) operating in the Terahertz band (0.1 THz – 10 THz) will enable nano-scale applications and stimulate the evolution from the Internet of Things (IoT) to the Internet of Nano Things (IoNT). Data delivery, which is one of the key functionalities of EM-WNSNs, faces three major challenges that will affect network performance: the frequency-selective channel in the THz band due to molecular absorption, the limited ability to support networking functions due to their small size, and the limited bandwidth of the existing infrastructure for transferring sensed data to the Internet. However, to date, limited amount of research on data delivery has been done to address the peculiarities of IoNT from the networking perspective.  To fill the gap, in this thesis, data acquisition and dissemination solutions are studied for IoNT to improve the resource utilization efficiency during data delivery. Different from existing literatures that focus on standalone nanonetworks, this thesis investigates solutions for connecting nanodevices to the Internet.  In detail, the contributions of this thesis are composed of four components: First, a preliminary study namely the Channel-aware Forwarding (CForward) is conducted on multi-hop forwarding for THz networks; second, the On-demand Probabilistic polling (OP polling) is developed for IoNT with dynamic IoT bandwidth and channel conditions; third, a TTLbased Efficient Forwarding (TEForward) is designed for the polling-based nanonetworks under dynamic channel conditions; fourth, the Enhanced Adaptive Pulse Interval Scheduling (EAPIS) is implemented to collect data from event-based nanonetworks under limited IoT bandwidth.</p>

scholarly journals Data Acquisition and Dissemination for the Internet of Nano Things

2021 ◽  
Author(s):  
◽  
Hang Yu
Keyword(s):  
Data Acquisition ◽  
Network Performance ◽  
Utilization Efficiency ◽  
The Internet ◽  
Pulse Interval ◽  
Data Delivery ◽  
Limited Bandwidth ◽  
Channel Conditions ◽  
Selective Channel ◽  
Event Based

<p>Electromagnetic-based Wireless NanoSensor Networks (EM-WNSNs) operating in the Terahertz band (0.1 THz – 10 THz) will enable nano-scale applications and stimulate the evolution from the Internet of Things (IoT) to the Internet of Nano Things (IoNT). Data delivery, which is one of the key functionalities of EM-WNSNs, faces three major challenges that will affect network performance: the frequency-selective channel in the THz band due to molecular absorption, the limited ability to support networking functions due to their small size, and the limited bandwidth of the existing infrastructure for transferring sensed data to the Internet. However, to date, limited amount of research on data delivery has been done to address the peculiarities of IoNT from the networking perspective.  To fill the gap, in this thesis, data acquisition and dissemination solutions are studied for IoNT to improve the resource utilization efficiency during data delivery. Different from existing literatures that focus on standalone nanonetworks, this thesis investigates solutions for connecting nanodevices to the Internet.  In detail, the contributions of this thesis are composed of four components: First, a preliminary study namely the Channel-aware Forwarding (CForward) is conducted on multi-hop forwarding for THz networks; second, the On-demand Probabilistic polling (OP polling) is developed for IoNT with dynamic IoT bandwidth and channel conditions; third, a TTLbased Efficient Forwarding (TEForward) is designed for the polling-based nanonetworks under dynamic channel conditions; fourth, the Enhanced Adaptive Pulse Interval Scheduling (EAPIS) is implemented to collect data from event-based nanonetworks under limited IoT bandwidth.</p>

A novel multi-event-based control for robot bilateral tele-operation with an exoskeleton arm under time delay

2009 ◽  
Vol 223 (6) ◽  
pp. 1481-1491 ◽  
Author(s):  
J-F Zhang ◽  
C-J Yang ◽  
Y Chen
Keyword(s):  
Time Delay ◽  
Control Structure ◽  
Control Architecture ◽  
The Internet ◽  
Event Generator ◽  
Communication Failure ◽  
Operation System ◽  
Singularity Structure ◽  
Control Scheme ◽  
Event Based

A novel control architecture based on a multi-event for tele-operation with an exoskeleton arm over the internet in case of transmission delay and communication failure is proposed. In this proposed control scheme a non-time event reference s is chosen to coordinate two sites and promises synchronization of the system. In addition, more than one event generator is employed to compose the multi-event-based control structure, in which the state of the slave site and uncertainties on the master site, such as singularity of the master arm and so on, are both evaluated. Through the bilateral tele-operation experiments in case of time delay with a rigid obstacle and master arm singularity structure, this control scheme is well demonstrated. The tele-operation system has solid performance with good stability and synchronization.

scholarly journals Implementation of Oxygen Saturation Sensor Data Acquisition Based on Bluetooth Low Energy Protocol

2021 ◽  
Author(s):  
Muhammad Fahmi Ali Fikri ◽  
Dany Primanita Kartikasari ◽  
Adhitya Bhawiyuga
Keyword(s):  
Data Acquisition ◽  
Data Center ◽  
Low Energy ◽  
Sensor Data ◽  
Data Delivery ◽  
Bluetooth Low Energy ◽  
Data Redundancy ◽  
Iot Devices ◽  
Store And Forward ◽  
Sensor Data Acquisition

Sensor data acquisition is used to obtain sensor data from IoT devices that already provide the required sensor data. To acquire sensor data, we can use Bluetooth Low Energy (BLE) protocol. This data acquisition aims to process further data which will later be sent to the server. Bluetooth Low Energy (BLE) has an architecture consisting of sensors, gateways, and data centers, but with this architecture, there are several weaknesses, namely the failure when sending data to the data center due to not being connected to internet network and data redundancy at the time of data delivery is done. The proposed solution to solve this problem is to create a system that can acquire sensor data using the Bluetooth Low Energy (BLE) protocol with use a store and forward mechanism and checking data redundancy. The proposed system will be implemented using sensors from IoT devices, the gateway used is Android devices, and using the Bluetooth Low Energy protocol to acquire data from sensors. Then the data will be sent to the cloud or server. The results of the test give the results of the system being successfully implemented and IoT devices can be connected to the gateway with a maximum distance of 10 meters. Then when the system stores, for every minute there is an increase in data of 4 kb. Then there is no data redundancy in the system.

scholarly journals Parallelism in web services: design of parallel XML parser for web services

2019 ◽  
Vol 16 (3) ◽  
pp. 1407
Author(s):  
Rohitkumar Rudrappa Wagdarikar ◽  
Sandhya P
Keyword(s):  
Web Services ◽  
Response Time ◽  
Network Performance ◽  
Heterogeneous Systems ◽  
Data System ◽  
The Internet ◽  
Network Distance ◽  
Consumer Provider ◽  
Internet Connections

<p>A WS provides the communication between heterogeneous systems. While performing this operation, we need to focus on QoS of consumer, provider and registry directory. There will be some parameters like WS selection, prediction and rank these are parameters need to consider while QoS implementation in web services. While performing integration in web services we need to focus on QoS requirements regarding server and network performance. Performance of WS is related to locations i.e the network distance and the Internet connections between consumer and provider. There will be more QoS approach which works on consumers collected QoS data, based on this data system can predict the QoS of WS. Throughput and response time are the QoS of WS. In this paper, we have proposed parallel XML parser, by which we can parse UDDI, WSDL and SOAP XML files parallel by which it will improve the response time and throughput of WS.</p>

scholarly journals Social Distancing and the Internet: What Can Network Performance Measurements Tell Us?

2020 ◽  
Author(s):  
Jessica De Oliveira Moreira ◽  
Amey Pasarkar ◽  
Wenjun Chen ◽  
Wenkai Hu ◽  
Jan Janak ◽  
...  
Keyword(s):  
Network Performance ◽  
The Internet ◽  
Performance Measurements ◽  
Social Distancing

Cultural Tourism O2O Business Model Innovation

2020 ◽  
pp. 406-423
Author(s):  
Chao Lu ◽  
Sijing Liu
Keyword(s):  
Business Model ◽  
Value Chain ◽  
Business Models ◽  
Business Model Innovation ◽  
Utilization Efficiency ◽  
The Internet ◽  
Enterprise Value ◽  
Model Research ◽  
The Social ◽  
Tourism Enterprises

It is absolutely not an accidental phenomenon that the development of Internet overlaps with boom of business model research. The emergence of the Internet has greatly promoted the development and study of business models. This paper focuses on exploration of O2O business model innovation by analyzing the main types, evolution and driving factors of Chinese Internet business model, taking Ctrip as the example. From the social prospective, O2O business model improves value and feeling of the customer experience as well as the operational efficiency of the enterprise value chain and utilization efficiency of social resources. This paper has also put forward what Ctrip can enlighten the development of tourism enterprises.

Narrowband IoT for Internet of Everything

2021 ◽  
pp. 301-323
Author(s):  
Sudhir K. Routray ◽  
Sarath Anand
Keyword(s):  
The Other ◽  
The Internet ◽  
Area Network ◽  
Wide Area Network ◽  
Intelligent Environment ◽  
Limited Bandwidth ◽  
Layered Architecture ◽  
Internet Of Everything ◽  
Almost All

Narrowband internet of things (NBIoT) is a leaner and thinner version of the IoT which needs much less resources than the other forms of the IoTs. Therefore, it is considered as a low power wide area network (LPWAN) technology. It can connect with a large number of devices with a very small amount of power and bandwidth. It has potential to connect almost all the considerable objects with the internet. Thus, it is a very powerful technology to establish internet of everything (IoE), a framework consisting of data, processes, sensing, and follow up actions for an intelligent environment. In this chapter, the authors present the IoE friendly architecture of NBIoT, its LPWAN features, principles, and its common applications in different sectors to show its versatility toward IoE. They show the layered architecture of a typical NBIoT and the main protocols used in the narrowband scenarios. They show the general applications of NBIoT for IoE and how it can provide services with limited bandwidth and power. With all these wonderful features, NBIoT is certainly an attractive technology for IoE which can provide the accelerated innovation opportunities.

Error Control and Reliable Data Delivery in UWSNs

2021 ◽  
pp. 131-154
Author(s):  
Sneha Singh ◽  
Manisha Bharti
Keyword(s):  
Error Control ◽  
Traditional Approach ◽  
Direct Interaction ◽  
Propagation Delay ◽  
Media Access Control ◽  
Data Delivery ◽  
Media Access ◽  
Acoustic Environment ◽  
Limited Bandwidth ◽  
3D Topology

Underwater wireless sensor networks (UWSNs) contains many components such as vehicles and sensors that are deployed for cooperative monitoring and data collection tasks in a particular acoustic environment various nodes and ground-based stations use these networks interactively. Presently, UWSNs face the problems and obstacles regarding limited bandwidth, high propagation delay, 3D topology, media access control, routing, resource utilization, and power constraints. The research community has developed different methodologies over the past few decades to address these issues and challenges; but, due to complex characteristics of the underwater environment, some of them are still open to research. The main drawback of the traditional approach is the lack of direct interaction between different ends, recorded information can never be accessed during any mission, and data recorded will be lost in the event of any failure.

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