scholarly journals Smart Node Networks Orchestration: A New E2E Approach for Analysis and Design for Agile 4.0 Implementation

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1624
Author(s):  
Annalisa Bertoli ◽  
Andrea Cervo ◽  
Carlo Alberto Rosati ◽  
Cesare Fantuzzi

The field of cyber-physical systems is a growing IT research area that addresses the deep integration of computing, communication and process control, possibly with humans in the loop. The goal of such area is to define modelling, controlling and programming methodologies for designing and managing complex mechatronics systems, also called industrial agents. Our research topic mainly focuses on the area of data mining and analysis by means of multi-agent orchestration of intelligent sensor nodes using internet protocols, providing also web-based HMI visualizations for data interpretability and analysis. Thanks to the rapid spreading of IoT systems, supported by modern and efficient telecommunication infrastructures and new decentralized control paradigms, the field of service-oriented programming finds new application in wireless sensor networks and microservices paradigm: we adopted such paradigm in the implementation of two different industrial use cases. Indeed, we expect a concrete and deep use of such technologies with 5G spreading. In the article, we describe the common software architectural pattern in IoT applications we used for the distributed smart sensors, providing also design and implementation details. In the use case section, the prototypes developed as proof of concept and the KPIs used for the system validation are described to provide a concrete solution overview.

2011 ◽  
Vol 383-390 ◽  
pp. 4629-4633
Author(s):  
Zahra Oladi Ghadikolaie ◽  
Sara Jafari Bazminabadi ◽  
Samira Kalantari ◽  
Zahra Hadjian Line ◽  
Shahaboddin Shamshirband

In this article service-oriented architecture is implemented in crisis environments (such as in a place on fire). Our purpose is to use wireless sensor networks and multi-agent systems in crisis environments to gather information from the environment. This information is received by sensor nodes, it is then processed in the expert system, the deductions concerning the environment from which information has been gather are sent to the central controller, and then the central controller sends the messages to the human agent who becomes aware of the situation in the environment in order to carry out the prescribed duties.


Author(s):  
Rekha Goyat ◽  
Mritunjay Kumar Rai ◽  
Gulshan Kumar ◽  
Hye-Jin Kim ◽  
Se-Jung Lim

Background: Wireless Sensor Networks (WSNs) is considered one of the key research area in the recent. Various applications of WSNs need geographic location of the sensor nodes. Objective: Localization in WSNs plays an important role because without knowledge of sensor nodes location the information is useless. Finding the accurate location is very crucial in Wireless Sensor Networks. The efficiency of any localization approach is decided on the basis of accuracy and localization error. In range-free localization approaches, the location of unknown nodes are computed by collecting the information such as minimum hop count, hop size information from neighbors nodes. Methods: Although various studied have been done for computing the location of nodes but still, it is an enduring research area. To mitigate the problems of existing algorithms, a range-free Improved Weighted Novel DV-Hop localization algorithm is proposed. Main motive of the proposed study is to reduced localization error with least energy consumption. Firstly, the location information of anchor nodes is broadcasted upto M hop to decrease the energy consumption. Further, a weight factor and correction factor are introduced which refine the hop size of anchor nodes. Results: The refined hop size is further utilized for localization to reduces localization error significantly. The simulation results of the proposed algorithm are compared with other existing algorithms for evaluating the effectiveness and the performance. The simulated results are evaluated in terms localization error and computational cost by considering different parameters such as node density, percentage of anchor nodes, transmission range, effect of sensing field and effect of M on localization error. Further statistical analysis is performed on simulated results to prove the validation of proposed algorithm. A paired T-test is applied on localization error and localization time. The results of T-test depicts that the proposed algorithm significantly improves the localization accuracy with least energy consumption as compared to other existing algorithms like DV-Hop, IWCDV-Hop, and IDV-Hop. Conclusion: From the simulated results, it is concluded that the proposed algorithm offers 36% accurate localization than traditional DV-Hop and 21 % than IDV-Hop and 13% than IWCDV-Hop.


2016 ◽  
Vol 173 ◽  
pp. 2062-2068 ◽  
Author(s):  
Xiwang Dong ◽  
Liang Han ◽  
Qingdong Li ◽  
Jian Chen ◽  
Zhang Ren

Author(s):  
Victor Alves ◽  
José Neves ◽  
Luís Nelas ◽  
Filipe Marreiros

2013 ◽  
Vol 2 (3) ◽  
pp. 557-588 ◽  
Author(s):  
Qingquan Sun ◽  
Weihong Yu ◽  
Nikolai Kochurov ◽  
Qi Hao ◽  
Fei Hu

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