Now a day, Mobile devices like Personal Digital Assistants (PDAs) and smart phones are generally used in our day to day lives and as well in numerous industrial areas. Normally, these mobile devices comprising several wireless network interfaces for instance 3G, Bluetooth and Wi-Fi, which are designed to utilize multiple channel. The available network capacity can be increased by using channels with wireless network interfaces, but this requires the development of new methods for energy reduction problem. Since, substantial quantity of energy is utilized to transmit the data via wireless communication, this problem is solved by using proper selection of network interface proficiently with the purpose of prolonging the life span of mobile devices and their applications. In case of the industrial areas, modifications in the communication environment are critical by reason of substantial noise sources, as a result of inadequate energy and because of distortion in the transceiver circuitry of strong motors, electrical discharge devices, and static frequency changers, etc. With the aim of resolving these issues, present a novel routing and energy-efficient Adaptive Wireless Network Interface-Selection scheme (AWNIS) with Particle Swarm Optimization (AWNIS-PSO) is specifically designed for industrial mobile devices. Discover route optimization methods in wireless network interface selection: 1) choosing the most conservative energy consumption and data transfer delay patterns to guarantee timely transmission, and 2) searching detouring paths by using Hidden Markov Model (HMM) while the energy level of a relay node is very less to utilize the required interface, which promises well-timed delivery. cThe intention to attain data delivery with packet whilst reducing energy utilization at every node, data transfer delay patterns and additionally extending the network lifespan by choosing economically effective relay nodes and wireless interfaces. Searching detouring paths by using HMM is performed based on the probabilistic mathematical modelling to extend the network lifetime. Simulation outcomes prove that the presented AWNIS-PSO scheme entirely exploits the provided Packet Delivery Ratio (PDR) to preserve energy utilization by choosing the interface, and dispersing network traffic over the network. Presented AWNIS-PSO scheme achieves reliable PDR failures and energy effectiveness when assuring some level of data transfer delay.