This study investigates the issues of energy usage in multipath wireless networks utilizing the Multipath Transport Control Protocol (MPTCP) under application-level timing knobs implemented in socket logic, which allows numerous TCP connections via different pathways. Due to route heterogeneity, MPTCP consumes more energy. Currently, many research works have provided several techniques to optimize energy efficiency; however, they focused on individual systems rather than total performance. This work proposed a stochastic multipath scheduling technique that considers the fluctuations in data transmission rate and path capacity. The scheduling mechanism is associated with the optimization problem to achieve the objectives of maximizing throughput, avoiding congestion, and improving stability. An algorithm is developed to solve multipath data transmission issues by utilizing the drift-based constraints. Simulations are performed to generate results for the comparison of three different optimized MPTCP schemes in the application layer with baseline and conventional protocols. The results are showing considerable improvements in throughput and end-to-end latency
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