Service Adaptively Medium Access Control Algorithm Based on Fuzzy Logical for Energy Harvesting Wireless Sensor Networks

Wireless sensor networks (WSNs) possess diverse traffic due to different monitoring tasks carried out by sensor nodes. Meanwhile, in energy harvesting WSNs, the main goal is to match energy consumption with the energy harvesting rate which is different from minimizing energy consumption in battery-powered WSNs. We propose a dynamic adaptive medium access control (MAC) algorithm in energy harvesting WSNs. A fuzzy logical algorithm is used to generate the parameters of slotted CSMA/CA mechanism, where the inputs are a combination of the service characteristics and the wireless shared channel condition of the sensor experienced. Hence the system can dynamically adjust the parameters of the slotted CSMA/CA mechanism, and the parameters are also influenced by the energy harvesting mode in the node. The simulation results demonstrate that the proposed approach outperforms the traditional ones in terms of throughput and energy efficiency