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

Yongyang Cheng¹, Shuai Zhao², Bo Cheng³

¹State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China. zhuifeng@bupt.edu.cn.

Sensors (Basel, Switzerland)

|January 2, 2019

Summary

This study introduces a new resource-oriented modeling approach and dynamic consistent hashing (DCH) algorithm for the Internet of Things (IoT). These methods simplify the development and deployment of IoT-aware business process applications in complex wireless sensor networks.

Keywords:

Internet of Things business process modeling deploying algorithm sensor networks

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Area of Science:

Computer Science
Information Technology
Network Engineering

Background:

The Internet of Things (IoT) is crucial for next-generation information systems, relying on wireless sensor networks (WSNs).
WSNs consist of distributed sensor nodes and gateways collecting diverse physical data (e.g., temperature, sound).
Challenges exist in directly modeling IoT-aware business processes and deploying applications across heterogeneous WSNs.

Purpose of the Study:

To propose a resource-oriented modeling approach for IoT-aware business process applications.
To develop a dynamic consistent hashing (DCH)-based algorithm for efficient application deployment in WSNs.
To address the difficulties in modeling and deploying applications within complex IoT environments.

Main Methods:

Extended the Business Process Model Notation (BPMN) 2.0 specification to support direct IoT-aware business process modeling.
Developed a dynamic consistent hashing (DCH) algorithm for dynamic load balancing and access efficiency in distributed WSN environments.
Implemented an extended BPMN plugin within the Eclipse development environment for practical application.

Main Results:

The proposed resource-oriented modeling approach enables direct modeling of IoT-aware business processes.
The DCH-based deploying algorithm effectively addresses dynamic load balancing and access efficiency.
The developed Eclipse plugin provides a practical tool for implementing the proposed methods.

Conclusions:

The presented approach effectively models and deploys IoT-aware business process applications.
The combination of extended BPMN and DCH offers a robust solution for WSN application management.
The validated approach enhances the development and deployment lifecycle for IoT systems.