A Reliable and Energy Efficient Routing Algorithm in Wsn Using Learning Automata

In Wireless Sensor Networks (WSNs), the most important challenges are the bandwidth and energy limitations, network topology changes, and lack of fixed infrastructures. Flooding is a broadcasting method which is used in almost all existing routing protocols and suffers from the broadcast storm problem. It may result in excessive redundancy, contention, collision, and energy consumption. To solve these problems, a routing algorithm is a promising approach for reducing the broadcast routing which is usually used. WSNs need to send data reliably and decrease consumption energy nodes. This paper proposes a reliable and energy efficient routing algorithm in WSNs using learning automata. Multiple paths are used to increase reliability. We increase network effective lifetime using learning automata and appropriate probability function. The results of our proposed algorithm decrease the overall energy consumption and increase reliability in a WSN. The simulation results show that the proposed scheme outperforms the existing methods in terms of reliability and residual energy, and size.