On Design and Deployment of Fuzzy-Based Metric for Routing in Low-Power and Lossy Networks
Résumé
Minimizing the energy consumption and hence ex-
tends the network lifetime is a key requirement when designing an
efficient sensor network protocol. QoS-aware routing in Wireless
Sensor Network (WSN), aims to take into account other networks
performance aspects as minimizing end-to-end delay (as well as
jitter), reducing packet loss rate while minimizing the energy
consumption of the network during data transmission. These
objectives are sometimes conflicting, and therefore tradeoffs must
be made between energy conservation and QoS considerations.
The general problem can be reformulated as a Multi-Constrained
Optimal Path problem (MCOP), and is known as NP-complete.
The latter raises a real challenge, as sensor nodes are very
limited in resources capabilities, we propose to use fuzzy inference
mechanism to seek a good tradeoff between all given metrics
and constraints. This paper discusses the implementation of
combining several routing metric, using fuzzy logic to design a
RPL objective function, the routing standard for the Internet of
Things. The proposal is integrated on Contiki operating system
and his deployment were performed on a real world indoor WSN.
Obtained results show improvements compared to the common
implementation of the RPL protocol, and demonstrate relevance
of our contribution.
Origine : Fichiers produits par l'(les) auteur(s)
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