Energy-efficient and reliable data routing is critical in Wireless Sensor
Networks (WSNs) application scenarios. Due to oscillations in wireless links
in adverse environmental conditions, sensed data may not be sent to a sink
node. As a result of wireless connectivity fluctuations, packet loss may
occur. However, retransmission-based approaches are used to improve reliable
data delivery. These approaches need a high quantity of data transfers for
reliable data collection. Energy usage and packet delivery delays increase
as a result of an increase in data transmissions. An energy-efficient data
collection approach based on a genetic algorithm has been suggested in this
paper to determine the most energy-efficient and reliable data routing in
wireless sensor networks. The proposed algorithm reduced the number of data
transmissions, energy consumption, and delay in network packet delivery.
However, increased network lifetime. Furthermore, simulation results
demonstrated the efficacy of the proposed method, considering the parameters
energy consumption, network lifetime, number of data transmissions, and
average delivery delay.