Combining Metrics for Route Selection in SDWSN: Static and Dynamic Approaches Evaluation

The Software Defined Networking paradigm has been applied to Wireless Sensor Networks (WSN) aiming to provide flexibility, enable resource sharing and reuse, and improve management. Routing protocol plays an important role in energy consumption given that the radio is the most power hungry component. Previous works show that using link quality as a metric usually decreases latency while using energy might balance the network energy consumption, thus increasing the network lifetime. We here apply and evaluate energy-aware route selection to Software Defined WSNs through dynamic and static combination of link quality and energy metrics. Dynamic combination is achieved using Fuzzy logic methods. Simulation results show that using energy as a metric achieves the best network lifetime and good energy consumption. Route selection using dynamic combination at CENTROID SCENARIO as a metric shows the best results for packet delivery rate, end-to-end delay and distribution of the nodes energy consumption among the network, where neighbors within the same hop count from the sink or controller have uniform energy consumption, besides a good network lifetime.