scholarly journals Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies

2012 ◽  
Vol 8 (5) ◽  
pp. 489794 ◽  
Author(s):  
Chih-Yu Lin ◽  
Sherali Zeadally ◽  
Tzung-Shi Chen ◽  
Chih-Yung Chang
Keyword(s):  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Physical Systems ◽  
Sensor Networking ◽  
Wireless Sensor Networking ◽  
Networking Technologies

scholarly journals Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies, Multiagent System Paradigm, and Natural Ecosystems

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Nafaâ Jabeur ◽  
Nabil Sahli ◽  
Sherali Zeadally
Keyword(s):  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Natural Ecosystems ◽  
Distributed Sensors ◽  
Physical Systems ◽  
Structure Topology ◽  
Spatially Distributed ◽  
Engineered Systems ◽  
Networking Technologies ◽  
Living Organisms

Wireless sensor networks (WSNs) are key components in the emergent cyber physical systems (CPSs). They may include hundreds of spatially distributed sensors which interact to solve complex tasks going beyond their individual capabilities. Due to the limited capabilities of sensors, sensor actions cannot meet CPS requirements while controlling and coordinating the operations of physical and engineered systems. To overcome these constraints, we explore the ecosystem metaphor for WSNs with the aim of taking advantage of the efficient adaptation behavior and communication mechanisms of living organisms. By mapping these organisms onto sensors and ecosystems onto WSNs, we highlight shortcomings that prevent WSNs from delivering the capabilities of ecosystems at several levels, including structure, topology, goals, communications, and functions. We then propose an agent-based architecture that migrates complex processing tasks outside the physical sensor network while incorporating missing characteristics of autonomy, intelligence, and context awareness to the WSN. Unlike existing works, we use software agents to map WSNs to natural ecosystems and enhance WSN capabilities to take advantage of bioinspired algorithms. We extend our architecture and propose a new intelligent CPS framework where several control levels are embedded in the physical system, thereby allowing agents to support WSNs technologies in enabling CPSs.

scholarly journals LON Technology in Wireless Sensor Networking Applications

Sensors ◽  
2006 ◽  
Vol 6 (1) ◽  
pp. 30-48 ◽  
Author(s):  
Marek Miskowicz ◽  
Ryszard Golanski
Keyword(s):  
Wireless Sensor ◽  
Sensor Networking ◽  
Wireless Sensor Networking

Cyber-Physical Manufacturing Systems

2019 ◽  
Vol 2 (1) ◽  
pp. 427-443 ◽  
Author(s):  
Dawn M. Tilbury
Keyword(s):  
Manufacturing Systems ◽  
Computer Numerical Control ◽  
Cyber Physical Systems ◽  
Numerical Control ◽  
Programmable Logic ◽  
Programmable Logic Controllers ◽  
Physical Systems ◽  
Multiple Levels ◽  
Networking Technologies ◽  
Logic Controllers

Cyber-physical systems, in which computation and networking technologies interact with physical systems, have made great strides into manufacturing systems. From the early days, when electromechanical relays were used to automate conveyors and machines, through the introduction of programmable logic controllers and computer numerical control, computing and networking have become pervasive in manufacturing systems. By increasing the amount of automation at multiple levels within a factory and across the enterprise, cyber-physical manufacturing systems enable higher productivity and higher quality as well as lower costs.

scholarly journals Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems

Automatica ◽  
2020 ◽  
Vol 113 ◽  
pp. 108759 ◽  
Author(s):  
Alex S. Leong ◽  
Arunselvan Ramaswamy ◽  
Daniel E. Quevedo ◽  
Holger Karl ◽  
Ling Shi
Keyword(s):  
Reinforcement Learning ◽  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Sensor Scheduling ◽  
Physical Systems

Environmental Monitoring Based on the Wireless Sensor Networking Technology

2014 ◽  
Vol 5 (4) ◽  
pp. 1-39 ◽  
Author(s):  
Eirini Karapistoli ◽  
Ioanna Mampentzidou ◽  
Anastasios A. Economides
Keyword(s):  
Environmental Monitoring ◽  
Real Life ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
General View ◽  
Monitoring Applications ◽  
Sensor Networking ◽  
Wireless Sensor Networking ◽  
Networking Technology ◽  
Critical Overview

This paper investigates real-life environmental monitoring applications based on Wireless Sensor Networks (WSNs). Wireless sensor networking is an emerging technology, which through the research in the labs and the real deployments has proved to be a significant and valuable tool for scientists in their effort to explore various environmental phenomena. During the last decades, this wireless networking technology has been adopted by many scientific fields in order to accurately and effectively monitor climate phenomena such as air pollution, destruction phenomena (i.e., landslides), etc. It has also been widely used in agriculture as well as in horticulture for field monitoring. This paper provides a critical overview of the basic components existing WSN deployments use. It also categorizes these deployments, 111 in total, into five different field categories, namely agricultural monitoring, environmental monitoring, air-water pollution monitoring, monitoring of destruction phenomena, as well as monitoring of livestock, and wild animal, in order to provide a general view of the technologies used, the conditions under which the deployments were conducted, and much more. Then, five easy-to-use guides are provided discussing basic considerations for deploying WSNs in each of these fields. These guides cover various issues, such as sensor node platforms, operating systems (OSs), topologies, installation and maintenance issues, and much more. In order to showcase the usefulness of consulting the resulted guides, this work considers representative application scenarios for each of these field deployments.

Sign in / Sign up

Export Citation Format

Share Document