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ECOAP: Experimental Assessment of Congestion Control Strategies for CoAP Using the WiSHFUL Platform
- Source :
- SMARTCOMP
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Future Smart Cities will be enabled by a pervasive fabric of sensors and actuators, seamlessly integrated within information systems. This large-scale Internet of Things (IoT) will bring a new level of challenges to existing communication networks and wireless standards. In order to analyze these issues and study possible solutions, a quick and rapid experimentation is of paramount importance to ensure that IoT protocols and network architectures can handle such challenges. In this paper, we present the ECOAP project that aims at evaluating the performance of the Constrained Application Protocol (CoAP), the application protocol defined to interconnect IoT devices with information systems. The project will carry out an evaluation of CoAP through the WiSHFUL platform, a platform for large-scale experimentation of network systems. The project will focus on assessing different congestion control strategies in order to evaluate the scalability of the protocol in future large-scale scenarios.
- Subjects :
- Risk
Computer Networks and Communications
Computer science
02 engineering and technology
Constrained Application Protocol
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Information system
Protocol (object-oriented programming)
Network architecture
business.industry
Computer Science Applications1707 Computer Vision and Pattern Recognition
020206 networking & telecommunications
ECOAP
Telecommunications network
Congestion Control
Network congestion
Reliability and Quality
CoAP
Scalability
020201 artificial intelligence & image processing
Safety
business
WiSHFUL
Safety, Risk, Reliability and Quality
Wireless sensor network
Computer network
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Conference on Smart Computing (SMARTCOMP)
- Accession number :
- edsair.doi.dedup.....7b7cc53bbe8cbb4c532c6de3da50a400
- Full Text :
- https://doi.org/10.1109/smartcomp.2018.00040