Next Article in Journal
Forces: A Motion Capture-Based Ergonomic Method for the Today’s World
Next Article in Special Issue
SEE-TREND: SEcurE Traffic-Related EveNt Detection in Smart Communities
Previous Article in Journal
Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review
Previous Article in Special Issue
Autonomous Collision Avoidance Using MPC with LQR-Based Weight Transformation
Article

Integration of Context Awareness in Smart Service Provision System Based on Wireless Sensor Networks for Sustainable Cargo Transportation

1
Department of Business Technologies and Entrepreneurship, Faculty of Business Management, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
2
Institute of Data Science and Digital Technologies, Faculty of Mathematics and Informatics, Vilnius University, LT-08412 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Academic Editors: Saber Fallah and Dimitrie C. Popescu
Sensors 2021, 21(15), 5140; https://doi.org/10.3390/s21155140
Received: 21 June 2021 / Revised: 14 July 2021 / Accepted: 26 July 2021 / Published: 29 July 2021
(This article belongs to the Special Issue Artificial Intelligence and Internet of Things in Autonomous Vehicles)
Smart service provision systems can assist in the management of cargo transportation. The development of these systems faces a number of issues that relate to the analysis of numerous factors, which are influenced by the properties of such complex and dynamic systems. The aim of this research was the development of an adaptable smart service provision system that is able to recognize a wide spectrum of contextual information, which is obtained from different services and heterogeneous devices of wireless sensor networks (WSNs). To ensure that the smart service provision system can assist with the analysis of specific cases of unforeseen and unwanted situations during the cargo transportation process, the system must have additional adaptability. To address the adequate provision of contextual data, we examined the problems of multi-dimensional definitions of contextual data and the choice of appropriate artificial intelligence (AI) methods for recognition of contextual information. The objectives relate to prioritizing potential service provision by ensuring the optimal quality of data supply channels and avoiding the flooding of wireless communication channels. The proposed methodology is based on methods of smart system architecture development that integrate the identification of context-aware data, conceptual structures of data warehouses, and algorithms for the recognition of transportation situations based on AI methods. Experimental research is outlined to illustrate the algorithmic analysis of the prototype system using an appropriate simulation environment. View Full-Text
Keywords: smart service provision system; context-aware services; wireless sensor networks (WSNs); information communication technologies (ICTs); cargo transportation smart service provision system; context-aware services; wireless sensor networks (WSNs); information communication technologies (ICTs); cargo transportation
Show Figures

Figure 1

MDPI and ACS Style

Dzemydienė, D.; Burinskienė, A. Integration of Context Awareness in Smart Service Provision System Based on Wireless Sensor Networks for Sustainable Cargo Transportation. Sensors 2021, 21, 5140. https://doi.org/10.3390/s21155140

AMA Style

Dzemydienė D, Burinskienė A. Integration of Context Awareness in Smart Service Provision System Based on Wireless Sensor Networks for Sustainable Cargo Transportation. Sensors. 2021; 21(15):5140. https://doi.org/10.3390/s21155140

Chicago/Turabian Style

Dzemydienė, Dalė, and Aurelija Burinskienė. 2021. "Integration of Context Awareness in Smart Service Provision System Based on Wireless Sensor Networks for Sustainable Cargo Transportation" Sensors 21, no. 15: 5140. https://doi.org/10.3390/s21155140

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop