scholarly journals On-Demand Mobile Data Collection in Cyber-Physical Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Liang He ◽  
Linghe Kong ◽  
Jun Tao ◽  
Jingdong Xu ◽  
Jianping Pan
Keyword(s):  
Data Collection ◽  
Research Effort ◽  
Large Data ◽  
Cyber Physical Systems ◽  
Data Generation ◽  
Time Data ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Physical Systems ◽  
On Demand

The collection of sensory data is crucial for cyber-physical systems. Employing mobile agents (MAs) to collect data from sensors offers a new dimension to reduce and balance their energy consumption but leads to large data collection latency due to MAs’ limited velocity. Most existing research effort focuses on the offline mobile data collection (MDC), where the MAs collect data from sensors based on preoptimized tours. However, the efficiency of these offline MDC solutions degrades when the data generation of sensors varies. In this paper, we investigate the on-demand MDC; that is, MAs collect data based on the real-time data collection requests from sensors. Specifically, we construct queuing models to describe the First-Come-First-Serve-based MDC with a single MA and multiple MAs, respectively, laying a theoretical foundation. We also use three examples to show how such analysis guides online MDC in practice.

Evaluating Service Disciplines for On-Demand Mobile Data Collection in Sensor Networks

2014 ◽  
Vol 13 (4) ◽  
pp. 797-810 ◽  
Author(s):  
Liang He ◽  
Zhe Yang ◽  
Jianping Pan ◽  
Lin Cai ◽  
Jingdong Xu ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Data Collection ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
On Demand ◽  
Service Disciplines

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

Sign in / Sign up

Export Citation Format

Share Document