Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution

Environmental monitoring systems are expected to provide detailed data about their surroundings in a timely fashion. Frequent data sampling is desired to obtain data with high temporal resolution, and frequent wireless transmissions are needed in order to get the data to end users without unnecessary delays. Energy harvesting systems depend, to a large extent, on the energy available in the environment. They need sophisticated control approaches in order to consolidate these requirements with the need for autonomous operation and longevity of the system. This study proposes a novel approach for dynamic control of energy harvesting nodes. It uses fuzzy logic controller evolved by differential evolution. The evolved control system is evaluated in a series of computational experiments that show very promising results.