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Modeling and Deploying IoT-Aware Business Process Applications in Sensor Networks

The concept of the Internet of Things (IoT) is an important part of the next generation of information. Wireless sensor networks are composed of independent distributed smart sensor nodes and gateways. These discrete sensors constantly gather external physical information, such as temperature, sound... Full description

Journal Title: Sensors Jan 2019, Vol.19(1)
Main Author: Cheng, Yongyang
Other Authors: Zhao, Shuai , Cheng, Bo , Chen, Xiwei , Chen, Junliang
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 14248220 ; DOI: 10.3390/s19010111
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title: Modeling and Deploying IoT-Aware Business Process Applications in Sensor Networks
format: Article
creator:
  • Cheng, Yongyang
  • Zhao, Shuai
  • Cheng, Bo
  • Chen, Xiwei
  • Chen, Junliang
subjects:
  • Beijing China
  • Environment Models
  • Wireless Networks
  • Collaboration
  • Dynamic Loads
  • Business Machines
  • Sensors
  • Image Retrieval
  • Internet of Things
  • Remote Sensors
  • Algorithms
  • Business Process Engineering
  • Algorithms
  • Gateways (Computers)
  • Smart Sensors
  • Computer Networks
  • Efficiency
  • Internet of Things
  • Internet of Things
  • Business Process Modeling
ispartof: Sensors, Jan 2019, Vol.19(1)
description: The concept of the Internet of Things (IoT) is an important part of the next generation of information. Wireless sensor networks are composed of independent distributed smart sensor nodes and gateways. These discrete sensors constantly gather external physical information, such as temperature, sound, and vibration. Owing to the diversity of sensor devices and the complexity of the sensor sensing environment, the direct modeling of an IoT-aware business process application is particularly difficult. In addition, how to effectively deploy those designed applications to discrete servers in the heterogeneous sensor networks is also a pressing problem. In this paper, we propose a resource-oriented modeling approach and a dynamic consistent hashing (DCH)-based deploying algorithm to solve the above problems. Initially, we extended the graphic and machine-readable model of Business Process Model Notation (BPMN) 2.0 specification, making it able to support the direct modeling of an IoT-aware business...
language: eng
source:
identifier: E-ISSN: 14248220 ; DOI: 10.3390/s19010111
fulltext: fulltext_linktorsrc
issn:
  • 14248220
  • 1424-8220
url: Link


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identifierE-ISSN: 14248220 ; DOI: 10.3390/s19010111
subjectBeijing China ; Environment Models ; Wireless Networks ; Collaboration ; Dynamic Loads ; Business Machines ; Sensors ; Image Retrieval ; Internet of Things ; Remote Sensors ; Algorithms ; Business Process Engineering ; Algorithms ; Gateways (Computers) ; Smart Sensors ; Computer Networks ; Efficiency ; Internet of Things ; Internet of Things ; Business Process Modeling
descriptionThe concept of the Internet of Things (IoT) is an important part of the next generation of information. Wireless sensor networks are composed of independent distributed smart sensor nodes and gateways. These discrete sensors constantly gather external physical information, such as temperature, sound, and vibration. Owing to the diversity of sensor devices and the complexity of the sensor sensing environment, the direct modeling of an IoT-aware business process application is particularly difficult. In addition, how to effectively deploy those designed applications to discrete servers in the heterogeneous sensor networks is also a pressing problem. In this paper, we propose a resource-oriented modeling approach and a dynamic consistent hashing (DCH)-based deploying algorithm to solve the above problems. Initially, we extended the graphic and machine-readable model of Business Process Model Notation (BPMN) 2.0 specification, making it able to support the direct modeling of an IoT-aware business...
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descriptionThe concept of the Internet of Things (IoT) is an important part of the next generation of information. Wireless sensor networks are composed of independent distributed smart sensor nodes and gateways. These discrete sensors constantly gather external physical information, such as temperature, sound, and vibration. Owing to the diversity of sensor devices and the complexity of the sensor sensing environment, the direct modeling of an IoT-aware business process application is particularly difficult. In addition, how to effectively deploy those designed applications to discrete servers in the heterogeneous sensor networks is also a pressing problem. In this paper, we propose a resource-oriented modeling approach and a dynamic consistent hashing (DCH)-based deploying algorithm to solve the above problems. Initially, we extended the graphic and machine-readable model of Business Process Model Notation (BPMN) 2.0 specification, making it able to support the direct modeling of an IoT-aware business...
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abstractThe concept of the Internet of Things (IoT) is an important part of the next generation of information. Wireless sensor networks are composed of independent distributed smart sensor nodes and gateways. These discrete sensors constantly gather external physical information, such as temperature, sound, and vibration. Owing to the diversity of sensor devices and the complexity of the sensor sensing environment, the direct modeling of an IoT-aware business process application is particularly difficult. In addition, how to effectively deploy those designed applications to discrete servers in the heterogeneous sensor networks is also a pressing problem. In this paper, we propose a resource-oriented modeling approach and a dynamic consistent hashing (DCH)-based deploying algorithm to solve the above problems. Initially, we extended the graphic and machine-readable model of Business Process Model Notation (BPMN) 2.0 specification, making it able to support the direct modeling of an IoT-aware business...
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