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Integrated Toolset for WSN Application Planning, Development, Commissioning and Maintenance: The WSN-DPCM ARTEMIS-JU

Christos Antonopoulos¹, Katerina Asimogloy², Sarah Chiti³

¹Applied Electronics Laboratory, Department of Electrical & Computer Engineering, University of Patras Campus of Rion, Patras 26500, Greece. cantonop@ece.upatras.gr.

Sensors (Basel, Switzerland)

|June 9, 2016

Summary

The ARTEMIS-JU WSN-DPCM project developed an integrated toolset to simplify Wireless Sensor Network (WSN) application development. This toolset supports experts in planning, creating, and maintaining WSN applications efficiently.

Keywords:

Internet of Things assisted deployment design flow simulation wireless sensor networks

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Area of Science:

Computer Science
Electrical Engineering
Embedded Systems

Background:

Wireless Sensor Networks (WSN) require specialized expertise for application development and maintenance.
Existing WSN development tools often lack integration, hindering efficient application lifecycle management.

Purpose of the Study:

To develop an integrated toolset for the complete lifecycle of Wireless Sensor Network (WSN) applications.
To support domain experts with limited WSN knowledge in efficiently creating and maintaining WSN applications.
To validate the toolset's effectiveness through practical case studies.

Main Methods:

Development of a unified platform integrating three core tools: planning, application development/simulation, and network commissioning/maintenance.
Implementation of software reuse through automatic library component selection for application synthesis.
Utilization of a middleware layer for abstracting underlying WSN architectures.
Testing the toolset with two distinct case studies: parking lot occupancy detection and industrial gas monitoring.

Main Results:

Successful creation of an integrated toolset for WSN application development and management.
Demonstrated efficiency gains in WSN application development for domain experts.
Validation of the toolset's effectiveness in diverse application domains through case studies.
The integrated platform facilitates software reuse and architectural abstraction.

Conclusions:

The developed integrated toolset significantly simplifies and enhances the efficiency of Wireless Sensor Network (WSN) application development and maintenance.
The toolset empowers domain experts, reducing the reliance on specialized WSN knowledge.
The successful case studies confirm the toolset's versatility and practical applicability across different domains.