scholarly journals A Data Forwarding Scheme Based on Delaunay Triangulation for Cyber-Physical Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Junhai Luo ◽  
Yijun Cai ◽  
Changping Zhong
Keyword(s):  
Delaunay Triangulation ◽  
Data Gathering ◽  
Delivery Ratio ◽  
Node Mobility ◽  
Physical Processes ◽  
Data Forwarding ◽  
Physical Systems ◽  
Intermittent Connectivity ◽  
Multiple Levels ◽  
And Control

Cyber-physical system (CPS) cooperates with physical processes, computing, communication, and control (3C) into multiple levels of information processing and operation management to streamline and fortify the operation of physical systems. Due to the unique characteristics, such as unpredictable node mobility, low node density, lack of global information and network intermittent connectivity, an algorithm for data forwarding in CPS is a considerably difficult and challenging problem, and there is no good solution to it in existing works. In this paper, we propose a fully-fledged data forwarding algorithm tailored to the CPS environment. The proposed protocol, called data forwarding based on Delaunay triangulation (DFDT), takes into account the computational geometry based on Delaunay triangulation to form a few triangle communities according to nodes’ connectivity. Data in a community are forwarded to other nodes once a node comes into this community to increase the data delivery ratio. DFDT achieves a good performance by data gathering and sending data to other nodes with higher probability of meeting the link. An extensive simulation has been performed to validate the analytical results and to show the effectiveness of our approach compared with the three existing popular data forwarding algorithms.

Direct Digital Additive Manufacturing and Cyber-Enabled Manufacturing Systems

2012 ◽  
Author(s):  
Khershed P. Cooper
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Complex Geometry ◽  
Basic Research ◽  
Naval Research ◽  
Physical Processes ◽  
Physical Systems ◽  
Office Of Naval Research ◽  
And Control ◽  
Manufacturing Problems

The technology of direct digital additive manufacturing (D2AM) has received considerable attention in recent months. Several government agencies and commercial interests are planning to explore D2AM to find solutions to manufacturing problems. The attraction of D2AM is the benefit of rapidly producing without fixtures or tools or human intervention customized objects of complex geometry not possible by traditional methods. The interest in D2AM ranges from fabrication of critical, high value aerospace metallic components to fabrication of objects having an organic look or as nature would have intendedi. For D2AM to be commercially accepted, it must reliably and predictably make products. It must achieve consistency in reproducibility across relevant D2AM methods. The Office of Naval Research (ONR) has launched a new basic research program, known as Cyber-enabled Manufacturing Systems (CeMS). The long-range goal of the program is to achieve the level of control over D2AM processes for industrial acceptance and wide-use of the technology. This program will develop measuring, sensing and control models and algorithms for D2AM by harnessing principles underpinning cyber-physical systems (CPS) and fundamentals of physical processes. This paper describes the challenges facing D2AM and the CeMS program goals to meet them.

scholarly journals Architectures and Protocols for Wireless Sensor and Actuator Networks

2021 ◽  
Vol 10 (3) ◽  
pp. 52
Author(s):  
Piergiuseppe Di Marco ◽  
Pangun Park
Keyword(s):  
Internet Of Things ◽  
Wireless Networking ◽  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Physical Processes ◽  
Physical Systems ◽  
Recent Advances ◽  
And Control

Recent advances in wireless networking, sensing, computing, and control are revolutionizing how physical systems interact with information and physical processes such as Cyber-Physical Systems (CPS), Internet of Things (IoT), and Tactile Internet. [...]

Characteristic Analyzation of Cyber Physical Systems

2014 ◽  
Vol 484-485 ◽  
pp. 427-430
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang
Keyword(s):  
Real Time ◽  
Heterogeneous Systems ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Physical Processes ◽  
Physical Systems ◽  
Time Performance ◽  
Research Challenges ◽  
Computer Mediated ◽  
And Control

Cyber-physical systems (CPS) are complex distributed heterogeneous systems which integrating cyber and physical processes by computation, communication and control. During interaction between cyber and physical world, the traditional theories and applications has been difficult to satisfy real-time performance and efficient. Cyber-physical systems clearly have a role to play in developing a new theory of computer-mediated physical systems. The aim of this work is to analysis the features and relation technology of CPS that get better understanding for this new field. We summarized the research progresses from different perspectives such as modeling, classical tools and applications. Finally, the research challenges for CPS are in brief outlined.

Reciprocal Variable Feedback: Induced Sensing for Nonlinear Systems Design and Control

1998 ◽  
Vol 120 (2) ◽  
pp. 157-163
Author(s):  
Aristides Gogoussis ◽  
Max Donath
Keyword(s):  
Control Theory ◽  
Feedback Linearization ◽  
Systems Design ◽  
Physical Reality ◽  
Physical Processes ◽  
Control Laws ◽  
Physical Systems ◽  
Broad Variety ◽  
And Control ◽  
Insight Into

System performance can be significantly improved when both the design of the plant and of the controller are considered concurrently. Control theory can be applied to a broad variety of systems, including those that are physical in nature and many that are not. Despite the generality of control theory, there are many situations in which opportunities are missed for using less conservative control laws and simpler overall implementations. This is due to the use of formulations that do not explicitly reveal the existence of intrinsic information pertaining to the particular domain of application. Such is the case with many physical systems. However, the various constraints associated with physical reality (in the form of principles, laws, etc.) open up several possibilities which can be exploited for system design and control. In this paper, we propose the Reciprocal Variable Feedback principle as a means for facilitating the control of plants with complicated nonlinear dynamics in the presence of parameter and/or structural uncertainty. The RVF principle exploits the effort-flow relationships associated with power interactions in order to assist in the design and control of physical processes. This is accomplished by using appropriate sensors instead of computation based on models (e.g., feedback linearization) and can be implemented within many physical domains. A motion control example is used to provide insight into the nature of the principle. It is expected that in the future, additional principles will be identified and introduced for integrating design with the control of dynamical systems.

Coordinating Stateful IoT Resources as Event-Driven Distributed IoT Services

2018 ◽  
pp. 140-175 ◽  
Keyword(s):  
Indirect Effects ◽  
Extraction Method ◽  
Event Extraction ◽  
Proof Of Concept ◽  
Physical Processes ◽  
Physical Systems ◽  
Iot Applications ◽  
Information Processes ◽  
And Control ◽  
Requirement Specifications

In IoT applications, physical systems have not only discrete behaviors but also continuous dynamics; the corresponding aspects of the information world are called IoT resources. IoT services monitor and control these resources to ensure specific properties such as controllability and stability. An approach is proposed here that links together IoT resources, events, and IoT services based on requirement specifications. IoT resources are explicitly modelled as stateful to express the evolution of their current attributes and states from their previous ones. Multiple actions are modelled by specifying the indirect effects and causalities of their actions, and the interactions between physical processes and information processes are orchestrated as the coordination of the IoT resources (i.e., coordinating stateful IoT resources as IoT services). At runtime, the issue of how to solve the glitch problem is discussed based on an event extraction method. Finally, an evaluation is performed as a proof of concept for this chapter.

An Efficient Cluster-Based Flooding Using Fuzzy Logic Scheme (CBF2S) In Mobile Adhoc Networks

2020 ◽  
Vol 14 ◽  
Author(s):  
S. Mahima ◽  
N. Rajendran
Keyword(s):  
Fuzzy Logic ◽  
Ad Hoc ◽  
Link Quality ◽  
Traffic Load ◽  
Node Degree ◽  
Communication Overhead ◽  
Delivery Ratio ◽  
Node Mobility ◽  
Centralized Control ◽  
Hop Count

: Mobile ad hoc networks (MANET) hold a set of numerous mobile computing devices useful for communication with one another with no centralized control. Due to the inherent features of MANET such as dynamic topology, constrained on bandwidth, energy and computing resources, there is a need to design the routing protocols efficiently. Flooding is a directive for managing traffic since it makes use of only chosen nodes for transmitting data from one node to another. This paper intends to develop a new Cluster-Based Flooding using Fuzzy Logic Scheme (CBF2S). To construct clusters and choose proper cluster heads (CHs), thefuzzy logic approach is applied with the use of three parameters namely link quality, node mobility and node degree. The presented model considerably minimizes the number of retransmissions in the network. The presented model instructs the cluster members (CM) floods the packets inside a cluster called intra-cluster flooding and CHs floods the packets among the clusters called inter-cluster flooding. In addition, the gateway sends a packet to another gateway for minimizing unwanted data retransmissions when it comes under different CH. The presented CBF2S is simulated using NS2 tool under the presence of varying hop count. The CBF2S model exhibits maximum results over the other methods interms of overhead, communication overhead, traffic load, packet delivery ratio and the end to end delay.

scholarly journals Feature Extraction of Real-World Traces Using K Means Clustering In OppNet

2021 ◽  
Author(s):  
Rahul Johari ◽  
Tanvi Gautam
Keyword(s):  
Network Topology ◽  
Real World ◽  
Network Performance ◽  
Performance Metrics ◽  
Learning Algorithm ◽  
Dynamic Network ◽  
Delivery Ratio ◽  
Communication Link ◽  
Alternative Measure ◽  
Intermittent Connectivity

Abstract Natural calamities leave people helpless by arising several situations such as network breakdown, zero communication, intermittent connectivity, dynamic network topology. In such situation an application of dynamic and intermittent routing scheme is essential to make further communication possible during likewise scenarios. An application of TCP/IP becomes futile in mentioned circumstances as it best works for static nodes and pre-defined network topology wherein source and destination nodes are first establishing the communication link with each other. An alternative measure of such hitches is to encounter an application of DTN protocol which possess all characteristics to withstand in such scenarios such as; dynamic network topology, intermittent connectivity, frequent path breaks, store – carry – forward fashion. In this paper we did thorough investigation of forest fire dataset (Uttarakhand) after exploring its implementation in ONE with Epidemic, Prophet, Spray and Wait, HBPR, GAER respectively. An extensive and thorough investigation for real world traces implementation has been done with OppNet routing protocols against mobility models namely; Shortest path map – based, Random Direction, Random Walk, Random Waypoint, Cluster Movement respectively for network performance metrics namely packet delivery ratio, packet overhead ratio and average latency ratio respectively with the application of K means clustering machine learning algorithm. With the help of this analysis, we explore the real-world traces characteristics and study the areas on which network performance can be improved.

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