Minimizing the energy consumption and hence extends 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.
Patrick et al. REF also utilize the concept of fuzzy logic to combine several routing metrics that include ETX, delay, and energy cost of the path.
On design and deployment of fuzzy-based metric for routing in low-power and lossy networks
2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)
2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)
Computer Science