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Analytical model of large data transactions in CoAP networks
Alessandro Ludovici1, Piergiuseppe Di Marco2, Anna Calveras3
1Wireless Network Group (WNG), Department of Telematics Engineering, Universitat Politècnica de Catalunya, C/Jordi Girona 1-3, Mòdul C3, 08034 Barcelona, Spain. alessandro.ludovici@antel.upc.edu.
This study compares Constrained Application Protocol (CoAP) blockwise transfer and 6LoWPAN fragmentation in wireless sensor networks. 6LoWPAN fragmentation is better for delay, while CoAP offers slightly higher reliability in congested networks.
Area of Science:
- Computer Science
- Networking
- Wireless Sensor Networks
Background:
- Wireless Sensor Networks (WSNs) often require efficient data transmission protocols.
- The Constrained Application Protocol (CoAP) and IEEE 802.15.4 standard are key components in many WSNs.
- Fragmentation is crucial for handling large data packets in constrained network environments.
Purpose of the Study:
- To analytically model and compare the performance of CoAP blockwise transfer and 6LoWPAN fragmentation.
- To evaluate reliability and delay metrics under varying network conditions.
- To provide insights into the suitability of each fragmentation method for different WSN applications.
Main Methods:
- Development of a novel analytical model for fragmentation in WSNs.
- Inclusion of CoAP blockwise transfer and 6LoWPAN fragmentation in the analysis.
- Comparison based on traffic, node count, and IEEE 802.15.4 MAC parameters.
- Validation of results using Monte Carlo simulations.
Main Results:
- 6LoWPAN fragmentation demonstrates superior performance for delay-constrained applications.
- CoAP blockwise transfer shows a slight advantage in reliability within highly congested networks.
- Performance is shown to be dependent on network traffic and IEEE 802.15.4 MAC parameters.
Conclusions:
- This research provides the first analytical comparison of CoAP blockwise transfer and 6LoWPAN fragmentation.
- The study offers a comprehensive understanding of fragmentation technique behavior under diverse network conditions.
- Results guide the selection of appropriate fragmentation methods for optimized WSN performance.
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