SAGRO-Lite: A Light Weight Agent Based Semantic Model for the Internet of Things for Smart Agriculture in Developing Countries

2021 ◽  
pp. 265-302
Author(s):  
Gaurav Kant Shankhdhar ◽  
Richa Sharma ◽  
Manuj Darbari
Keyword(s):  
Developing Countries ◽  
Internet Of Things ◽  
The Internet ◽  
Light Weight ◽  
Semantic Model ◽  
Agent Based ◽  
Smart Agriculture ◽  
The Internet Of Things

scholarly journals Modules of Organizational and Technical Systems for Solving Problems of Adaptation in a Rapidly Changing Environment

2020 ◽  
Vol 24 (5) ◽  
pp. 82-90
Author(s):  
A. Mikryukov ◽  
V. M. Trembach ◽  
A. V. Danilov
Keyword(s):  
Internet Of Things ◽  
Knowledge Base ◽  
External Environment ◽  
The Internet ◽  
Cyberphysical Systems ◽  
Adaptation Algorithm ◽  
Cognitive Approach ◽  
Agent Based ◽  
Cyberphysical System ◽  
The Internet Of Things

Purpose of research. The aim of the research is to form modules of organizational and technical systems (OTS) using a cognitive approach to solve problems of adaptation of cyberphysical systems. Currently, there is a rapid development of elements of the Internet of things. New tasks related to self-organization and adaptation in a rapidly changing external environment are brought to the fore. These tasks occur when new elements appear in the telecommunications computer network, they fail, change the mode, new tasks occur, etc. To work out these tasks, the possibilities of approaches to support and decision-making such as situational, cognitive, and semiotic are considered. The authors consider the cognitive approach in more detail. Within the framework of the cognitive paradigm, the article describes the use of the cognitive approach for solving problems of adaptation of cyberphysical systems. To solve this problem on the basis of an agent-based approach, the structure of a cyberphysical system with the possibility of adaptation is presented and the functions of its agents are described. The main stages of solving problems of adaptation of cyberphysical systems are presented. An adaptation algorithm using the planning mechanism is presented. The demo example shows a knowledge base for solving the problem of adapting cyberphysical systems using a cognitive planning mechanism.Materials and methods of research. New approaches and methods are required to address adaptation issues in planning. The cognitive approach is one of the developing directions in solving many problems of the Internet of things. One of these tasks is the ability to adapt OTS modules in a rapidly changing external environment based on the planning mechanism. To solve the planning problem, we use the algorithm described by Aristotle more than 2,350 years ago and implemented in the GPS program. This algorithm can be considered the first description of the cognitive mechanism that a person uses. The knowledge base uses an integrated approach to knowledge representation. When developing OTS modules, an agent-based approach was used to solve the problem of adaptation.Results. The existing and developing approaches and methods for decision support and decision-making are considered for decisionmaking in newly emerging situations in OTS modules. The main provisions of such significant approaches as situational, cognitive and semiotic are presented. A cognitive approach to the adaptation of intelligent systems is proposed. The solution of the problem of adaptation of cyberphysical systems is considered within the framework of the cognitive paradigm. The structure of a cyberphysical system capable of solving adaptation problems is shown. The functions of OTS modules based on agent-oriented technology are described. A description of the adaptation algorithm using the cognitive planning mechanism is given. The main stages of solving problems of adaptation of cyberphysical systems are presented. A demo example of solving the problem of adaptation by a cyberphysical system-a cooking robot – is shown.Conclusion. Using the modular architecture of an intelligent system allows you to solve many problems. One of these tasks is to configure elements of the Internet of things when they deviate from their main function. The planning mechanisms proposed for parametric adaptation can be repeatedly applied in OTS modules as separate agents. This approach is relevant for elements of the Internet of things. In the case of expanding the functionality of the OTS modules of Internet of things, it is advisable to apply machine learning with fixing the results in the knowledge base of planning agents.

scholarly journals A Study on the Necessity and Construction Plan of the Internet of Things Platform for Smart Agriculture

2014 ◽  
Vol 17 (11) ◽  
pp. 1313-1324 ◽  
Author(s):  
Joonyoung Lee ◽  
ShinHo Kim ◽  
SaeBom Lee ◽  
HyeonJin Choi ◽  
JaiJin Jung
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Smart Agriculture ◽  
The Internet Of Things

Multi-Layer Agent Based Architecture for Internet of Things Systems

2018 ◽  
Vol 11 (4) ◽  
pp. 32-52 ◽  
Author(s):  
Kouah Sofia ◽  
Kitouni Ilham
Keyword(s):  
Internet Of Things ◽  
Operative Management ◽  
Local System ◽  
Physical World ◽  
The Internet ◽  
Agent Based ◽  
Global Management ◽  
The Third ◽  
System Diagnosis ◽  
The Internet Of Things

Nowadays, the Internet of things (IoT) is becoming a promising technology which revolutionizes and simplifies our daily life style. It allows interaction and cooperation between a large variety of pervasive objects over wireless and wired connections, in order to achieve specific goals. Moreover, it provides a concise integration of physical world into computer systems through network infrastructure. This paper provides an agent-based architecture for developing IoT systems. The proposed architecture is multi-layer and generic. It encompasses four layers: Physical Component Management, Local Management -Coordination, Global Management-Coordination and Specialized Operative Management Layers. The first one can be seen as a smart layer that ensures connection and communication between things and the system. The second one constitutes the intelligent core of the system which acts locally to ensure coordination and further internal functioning. The third layer ensures coordination between the local system and the externals ones. The last layer supports additional behaviors which are domain dependent. The architecture is illustrated by an IoT system diagnosis.

scholarly journals Investigating the factors affecting the internet of things (IOT) adoption model -an exploratory study in Egypt

2020 ◽  
Vol 11 (02) ◽  
pp. 97-108
Author(s):  
Ghada Zaky ◽  
◽  
Prof. Ayman Shawky ◽  
Prof. Mohamed A. Ragheb ◽  
◽  
...  
Keyword(s):  
Developing Countries ◽  
Internet Of Things ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Concern ◽  
Critical Question ◽  
Iot Applications ◽  
Adoption Model ◽  
The Internet Of Things ◽  
Security Concern

Purpose: This study aims to investigate the factors that affect developing countries especially Egyptian users to adopt IOT Applications/devices, and to what extent those variables affect the overall attitude towards, behavioral intentions and actual usage of IOT applications/devices. Moreover, to develop an extended adoption model by integrating the security concern and privacy concern in UTAUT2 model. Design/Methodology: a descriptive quantitative approach was adopted, and a comprehensive research model was adapted from literature and then tested via an online questionnaire. Results/Findings: The findings revealed that Effort Expectancy, Facilitating Conditions and Security Concern all have a significant positive effect on the overall intention towards using IOT applications/devices in Egypt. Theoretical and practical implications: The Internet of Things (IOT) has emerged as an innovative computing technology destined to optimize business operations and create new products and services. IOT enable the devices to communicate and integrate with one another to collect, exchange, and make data accessible through the Internet. It is projected that by 2025, over 50 billion devices will be connected to the IOT network, reaching a market value of up to $11 trillion. This study adapted the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) as the theoretical framework and its findings contribute to the literature by adding security and privacy concerns as new predictor variables. This contributes theoretically to the current literature by providing meaningful insights into the main factors that affect using IOT Applications/Devices in developing countries specially Egypt. This study’s conceptual effort provided an overall overview of how IOT users arrive at choosing (or not choosing) to use IOT applications/devices. Additionally, the analytic effort of this study provided a holistic assessment of the role of each variable. One critical question in this case is whether industrial leaders should assign an equal number of resources to each variable or not. By assessing the significance of each variable, the researcher attempted to clarify the comparative importance of each variable in forecasting purchase intentions and decisions to use IOT applications/devices.

scholarly journals Impact of Internet of Things (IoT) in Smart Agriculture

2021 ◽  
Author(s):  
O. Vishali Priya ◽  
R. Sudha
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Agricultural Field ◽  
Knowledge Processing ◽  
Computing Power ◽  
Crop Monitoring ◽  
The World ◽  
Instruments And Techniques ◽  
Smart Agriculture ◽  
The Internet Of Things

In today’s world, technology is constantly evolving; various instruments and techniques are available in the agricultural field. And within the agrarian division, the IoT preferences are Knowledge processing. With the help of introduced sensors, all information can be gathered. The reduction of risks, the mechanization of industry, the enhancement of production, the inspection of livestock, the monitoring of environment conditions, the roboticization of greenhouses, and crop monitoring Nearly every sector, like smart agriculture, has been modified by Internet-of-Things (IoT)-based technology, which has shifted the industry from factual to quantitative approaches. The ideas help to link real devices that are equipped with sensors, actuators, and computing power, allowing them to collaborate on a task while staying connected to the Internet, dubbed the “Internet of Things” (IoT). According to the World Telecommunication Union’s Worldwide Guidelines Operation, the Internet of Things (IoT) is a set of sensors, computers, software, and other devices that are connected to the Internet. The paper is highly susceptible to the consequences of its smart agriculture breakthrough.

scholarly journals Embedding Swarm Intelligence in Internet of Things Networks: A Social Insect Approach

2020 ◽  
pp. 80-87
Author(s):  
Sergio V Davalos, Ph.D.
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Social Insect ◽  
Insect Behavior ◽  
Agent Based Modeling ◽  
The Internet ◽  
Evolutionary Adaptation ◽  
Agent Based ◽  
The Internet Of Things

This paper introduces a framework for embedding intelligence in the Internet of Things (IoT) networks. The framework draws upon agent-based modeling, swarm intelligence, social insect behavior, and evolutionary adaptation. The key principles for each of these areas are first discussed. These concepts are then discussed from an IoTs perspective. The resulting capabilities and potential of embedding this type of intelligence are outlined.

scholarly journals Challenges of IoT Deployment in the Context of Developing Countries

2021 ◽  
Vol 1 ◽  
Author(s):  
Bernardo Y. León-Ávila ◽  
Yunior R. Hernández-Cabrera ◽  
Luis A. Quintero-Domínguez ◽  
Felipe Hernández Pentón ◽  
Frank R. Quesada Espinosa
Keyword(s):  
Developing Countries ◽  
Internet Of Things ◽  
Mobile Telephony ◽  
The Internet ◽  
Trade War ◽  
Development Paths ◽  
The Internet Of Things ◽  
A Current

The concept of the Internet of Things (IoT) is not exactly a novelty, even if it has not burst out yet with all the force that the market expected. The 5th generation of mobile telephony (5G) is rushing to deploy in the midst of a real trade war, and intends to get one’s own way on this and others fronts. This paper analyses how to  overcome the challenges of an IoT deployment, which can be too complex to fulfil its promise of massification and ubiquity. This analysis is primarily intended to identify  whether 5G will be the key to a current IoT deployment in all contexts, or whether it is wise to pursue other development paths first.

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