Paper Info
Title
On design and deployment of fuzzy-based metric for routing in low-power and lossy networks
Abstract
Minimizing the energy consumption and hence extending 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 and minimizing the energy consumption of the network during data transmission. These objectives are sometimes conflicting 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) which 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, the deployment was 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.
Year
DOI
Venue
2015
10.1109/LCNW.2015.7365929
2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)
Keywords
Field
DocType
fuzzy-based metric design,fuzzy-based metric deployment,low-power network routing,lossy network routing,energy consumption minimization,wireless sensor network node,QoS-aware routing protocol,end-to-end delay minimization,packet loss rate reduction,data transmission,multiconstrained optimal path problem,NP-complete problem,fuzzy inference mechanism,fuzzy logic,RPL objective function,Internet of Things,Contiki operating system,indoor WSN
Link-state routing protocol,Dynamic Source Routing,Hierarchical routing,Computer science,Enhanced Interior Gateway Routing Protocol,Static routing,Computer network,Wireless Routing Protocol,Zone Routing Protocol,Distributed computing,Routing protocol
Conference
Citations 
PageRank 
References 
6
0.42
13
Authors
3
Name
Order
Citations
PageRank
Patrick Olivier Kamgueu1201.69
Emmanuel Nataf2538.77
Thomas Ndie Djotio3223.17