Coordinating Stateful IoT Resources as Event-Driven Distributed IoT Services

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.

Author(s):  
Khershed P. Cooper

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.


2021 ◽  
Vol 10 (3) ◽  
pp. 52
Author(s):  
Piergiuseppe Di Marco ◽  
Pangun Park

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. [...]


2014 ◽  
Vol 484-485 ◽  
pp. 427-430
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang

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.


1998 ◽  
Vol 120 (2) ◽  
pp. 157-163
Author(s):  
Aristides Gogoussis ◽  
Max Donath

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.


Although many IoT applications have been developed, a theoretical basis for interconnecting all things is still obscure. In order to establish a solid foundation for IoT applications, this chapter addresses three issues: how to model physical sensors and devices as IoT resources, how to introduce IoT resources into IoT services, and how to use distributed events to connect IoT resources and IoT services together to form an IoT service system. An IoT resource is defined by its static attributes and dynamic lifecycle; both of these are specified using semantic knowledge to enable automatic sharing and understanding. An IoT service is considered as a set of actions imposed on IoT resources to monitor and control the physical world. An example application is given in order to demonstrate a proof of concept for event-driven IoT services over IoT resources (streamlining events) to integrate IoT services.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Junhai Luo ◽  
Yijun Cai ◽  
Changping Zhong

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.


Genetics ◽  
1954 ◽  
Vol 39 (4) ◽  
pp. 453-471
Author(s):  
Felix L Haas ◽  
Edna Dudgeon ◽  
Frances E Clayton ◽  
Wilson S Stone

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 228
Author(s):  
Idan Fishel ◽  
Yoni Amit ◽  
Neta Shvil ◽  
Anton Sheinin ◽  
Amir Ayali ◽  
...  

During hundreds of millions of years of evolution, insects have evolved some of the most efficient and robust sensing organs, often far more sensitive than their man-made equivalents. In this study, we demonstrate a hybrid bio-technological approach, integrating a locust tympanic ear with a robotic platform. Using an Ear-on-a-Chip method, we manage to create a long-lasting miniature sensory device that operates as part of a bio-hybrid robot. The neural signals recorded from the ear in response to sound pulses, are processed and used to control the robot’s motion. This work is a proof of concept, demonstrating the use of biological ears for robotic sensing and control.


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