An energy-efficient adaptive transmission method for Wireless Sensor Networks

Most current transmission protocols can not achieve energy-efficient of Wireless Sensor Networks (WSNs), an energy-efficient adaptive transmission based on channel and buffer state is proposed, including Channel and Buffer Based Transmission (CBT) and Channel and Buffer Based Fragment Transmission (CBFT). The adaptive Transmission based on the current channel state to decide whether to transfer, avoid the energy waste caused by failed transmission. CBFT based on CBT, and combine with virtual fragment transmission technology. Data transfer problem of sensor node is modeled as Markov decision process (MDP) model, Q learning algorithm is proposed to solve the problem. Finally, the simulation is used to illustrate the effectiveness of the algorithm; the results show that the consumed energy of sensor node is efficient. The lifetime of wireless sensor network can be prolonged.