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A proxy design to leverage the interconnection of CoAP Wireless Sensor Networks with Web applications
Alessandro Ludovici1, Anna Calveras2
1Wireless Network Group (WNG), Department of Telematics Engineering, Universitat Politècnica de Catalunya, C/Jordi Girona 1-3, Mòdul C3, Barcelona 08034, Spain. alessandro.ludovici@gmail.com.
Sensors (Basel, Switzerland)
|January 14, 2015
Summary
This study introduces a Constrained Application Protocol (CoAP) proxy to bridge web applications and wireless sensor networks. The proxy enhances data flow efficiency for smart cities by integrating WebSocket, outperforming traditional HTTP long-polling.
Area of Science:
- Computer Science
- Networking
- Internet of Things (IoT)
Background:
- Wireless Sensor Networks (WSNs) are crucial for monitoring and control in applications like Smart Cities.
- Traditional web protocols like HTTP long-polling struggle with the long-lived data flows common in WSNs.
- Interconnecting WSNs with web applications requires efficient communication protocols.
Purpose of the Study:
- To design and evaluate a Constrained Application Protocol (CoAP) proxy.
- To enable seamless interconnection between web applications (HTTP/WebSocket) and CoAP-based WSNs.
- To improve data flow efficiency for long-lived communications in WSNs.
Main Methods:
- Development of a CoAP proxy integrating WebSocket and HTTP long-polling.
- Performance evaluation focusing on latency and memory consumption.
- Testing across both short-lived and long-lived communication scenarios.
Main Results:
- The CoAP proxy effectively bridges web and WSN environments.
- WebSocket integration demonstrates improved performance over HTTP long-polling for long-lived data streams.
- Latency and memory consumption were analyzed for both communication types.
Conclusions:
- The proposed CoAP proxy design enhances WSN data communication for web applications.
- WebSocket offers a superior alternative to HTTP long-polling for sustained data transmission in WSNs.
- The proxy is a viable solution for applications like Smart Cities requiring efficient WSN integration.
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