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Dynamic forward error correction in wireless real‐time Internet of Things networks
- Source :
- IET Networks, Vol 6, Iss 6, Pp 218-223 (2017)
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- Wireless sensor and actuator networks (WSAN) have greatly benefited from the latest development in real-time Internet of Things standardisation efforts. Specifically, the Internet Engineering Task Force Constrained Application Protocol (CoAP) is one of the preferred mechanisms that provide session transport in the context of low-power low-rate networks in general and WSAN in particular. CoAP, that relies on traditional user datagram protocol, introduces a particular mode of operation, known as non-confirmable, that minimises latency but it is highly sensitive to network packet loss. The use of forced forward error correction (FEC), although efficient at reducing packet loss, excessively increases the session throughput. The authors introduce an algorithm that dynamically manages FEC minimising application layer packet loss while keeping throughput under control. The mechanism is evaluated through an experimental framework where traditional CoAP, forced FEC CoAP and dynamic FEC CoAP implementations are compared.
- Subjects :
- wireless networks
Control and Optimization
Computer Networks and Communications
Computer science
Throughput
02 engineering and technology
TK5101-6720
Management Science and Operations Research
Constrained Application Protocol
real‐time Internet of Things networks
Packet loss
0202 electrical engineering, electronic engineering, information engineering
User Datagram Protocol
Wireless sensor and actuator networks
business.industry
Network packet
Wireless network
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Internet Engineering Task Force constrained application protocol
020206 networking & telecommunications
Application layer
CoAP
Telecommunication
020201 artificial intelligence & image processing
dynamic forward error correction
business
Wireless sensor network
Computer network
Subjects
Details
- Language :
- English
- ISSN :
- 20474954 and 20474962
- Volume :
- 6
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- IET Networks
- Accession number :
- edsair.doi.dedup.....0b8c483f42279a0fa4d91794be2b084e