User Interoperability With Heterogeneous IoT Devices Through Transformation

Xiao, Guangyi; Guo, Jingzhi; Xu, Li Da; Gong, Zhiguo

doi:10.1109/tii.2014.2306772

Cited by 121 publications

(16 citation statements)

References 39 publications

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“…Several IoT systems utilize cataloguing of device services based on the device categorization. This type of practice attributes service to devices based on the unique identifier of both devices and services [25]. These services are made discoverable if an inquest is made to the service or device identifier.…”

Section: Motivation and Challengesmentioning

confidence: 99%

IoT Architectural Framework: Connection and Integration Framework for IoT Systems

Uviase¹,

Kotonya²

2018

Electron. Proc. Theor. Comput. Sci.

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The proliferation of the Internet of Things (IoT) has since seen a growing interest in architectural design and adaptive frameworks to promote the connection between heterogeneous IoT devices and IoT systems. The most widely favoured software architecture in IoT is the Service Oriented Architecture (SOA), which aims to provide a loosely coupled systems to leverage the use and reuse of IoT services at the middle-ware layer, to minimise system integration problems. However, despite the flexibility offered by SOA, the challenges of integrating, scaling and ensuring resilience in IoT systems persist. One of the key causes of poor integration in IoT systems is the lack of an intelligent, connection-aware framework to support interaction in IoT systems. This paper reviews existing architectural frameworks for integrating IoT devices and identifies the key areas that require further research improvements. The paper concludes by proposing a possible solution based on microservice. The proposed IoT integration framework benefits from an intelligent API layer that employs an external service assembler, service auditor, service monitor and service router component to coordinate service publishing, subscription, decoupling and service combination within the architecture.

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Section: Motivation and Challengesmentioning

confidence: 99%

IoT Architectural Framework: Connection and Integration Framework for IoT Systems

Uviase¹,

Kotonya²

2018

Electron. Proc. Theor. Comput. Sci.

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“…These technologies are critical for an IoT application. Now, the state of the art of IoT applications can be found in medical, transportation, services, home, factories, mines and cities, reflecting the broad commercial applications for this technology (Appadwedula et al, 2005;Xu, 2011;Sun et al, 2012;Sung and Tsai, 2012;Li, 2013;Li et al, 2013b;Zhang and Yu, 2013;Bi et al, 2014;Fan et al, 2014;Fang et al, 2014b;Tao et al, 2014;Wang et al, 2014a;Xiao et al, 2014;Xu et al, 2014). Li et al (2013a) modeled a multiple attribute group decision-making problem for the group decision-making to emergency situations, and used a new methodology based on IoT to reach the understanding of emergency response plans with the maximized consensus in course of decision-making.…”

Section: Internet-of-thingsmentioning

confidence: 99%

BSP‐GA: A new Genetic Algorithm for System Optimization and Excellent Schema Selection

Jin

Wilamowska-Korsak

et al. 2014

Syst. Res.

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The significance of Internet‐of‐Things to Supply Chain Management has been dramatically increasing. The performance of supply chain based on Internet‐of‐Things is largely dependent on its optimization. Genetic algorithms (GAs) are important intelligent methods for complex system optimization problems, but they have some internal drawbacks such as premature and slow convergence to the global optimum. In this paper, we present a new schema protection based GA (BSP‐GA). First, we propose three principles for selecting excellent schema based on the schema theory; second, we propose the concept of K‐intensive effect synthesis operator, and we give a general five‐intensive effect synthesis operator and its proof; third, we give the selection process of excellent schema through an example, and further we give the implementation steps of BSP‐GA. The performance of BSP‐GA has been compared with simple GA by using two carefully chosen benchmark problems. It has been observed that BSP‐GA can yield the global optimum more efficiently than commonly used simple GA. Furthermore, a theorem is presented to guarantee the convergence of BSP‐GA. Copyright © 2014 John Wiley & Sons, Ltd.

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“…Although, the end-users must have the capability to create processes, discover things [23,24], control things and efficiently utilize the application for smart environments [25]. The same idea has been provided in [26].…”

Section: Introductionmentioning

confidence: 99%

A Water Supply Pipeline Risk Analysis Methodology Based on DIY and Hierarchical Fuzzy Inference

et al. 2019

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The standard manufacturing organizations follow certain rules. The highest ubiquitous organizing principles in infrastructure design are modular idea and symmetry, both of which are of the utmost importance. Symmetry is a substantial principle in the manufacturing industry. Symmetrical procedures act as the structural apparatus for manufacturing design. The rapid growth of population needs outstrip infrastructure such as roads, bridges, railway lines, commercial, residential buildings, etc. Numerous underground facilities are also installed to fulfill different requirements of the people. In these facilities one of the most important facility is water supply pipelines. Therefore, it is essential to regularly analyze the water supply pipelines’ risk index in order to escape from economic and human losses. In this paper, we proposed a simplified hierarchical fuzzy logic (SHFL) model to reduce the set of rules. To this end, we have considered four essential factors of water supply pipelines as input to the proposed SHFL model that are: leakage, depth, length and age. Different numbers of membership functions are defined for each factor according to its distribution. The proposed SHFL model takes only 95 rules as compared to the traditional mamdani fuzzy logic method that requires 1225 rules. It is very hard and time consuming for experts to design 1225 rules accurately and precisely. Further, we proposed a Do-it-Yourself (DIY) system for the proposed SHFL method. The purpose of the DIY system is that one can design the FIS model according to his or her need.

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User Interoperability With Heterogeneous IoT Devices Through Transformation

Cited by 121 publications

References 39 publications

IoT Architectural Framework: Connection and Integration Framework for IoT Systems

IoT Architectural Framework: Connection and Integration Framework for IoT Systems

BSP‐GA: A new Genetic Algorithm for System Optimization and Excellent Schema Selection

A Water Supply Pipeline Risk Analysis Methodology Based on DIY and Hierarchical Fuzzy Inference

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