Artificial bee colony optimization based energy-efficient wireless network interface selection for industrial mobile devices

Abstract

Management of energy is a crucial challenge for mobile devices, having the network activity frequently taking up a considerable part of the energy in the overall system. The important goal of this work is to offer energy efficiency for mobile handhelds. The industrial mobile devices in the recent times are fitted with several wireless network interfaces, these devices function with less battery power. In mobile handhelds, each user is able to run multiple applications with the purpose of have particular Quality of Service (QoS) requirements. Hence, it would be beneficial for a multi-interface terminal to simultaneously use two or more interfaces to gain in performance. So satisfying the QoS becomes very difficult task. An energy-effective Adaptive Wireless Network Interface Selection (AWNIS) with Artificial Bee Colony (ABC) is proposed in this paper. AWNIS-ABC algorithm chooses the best of the wireless network interface in regard to the energy consumed by taking the QoS of the link into consideration as well as following a hi-speed network interface-selection interval based on the scenario in the network. Then Hidden Semi Markov Model (HSMM) is introduced for searching the detouring paths if the energy state of a given relay node is very less to utilize the required interface, which ensures timely delivery. Also, it provides the diversification of the route paths in the network with the purpose of extending the lifetime of the network. An alternate path is proposed for reliable data delivery beforehand the route path encounters a breakage owing to energy exhaustion is found. A number of wireless network interfaces in mobile devices are utilized in improving the energy efficiency, satisfaction of QoS occurring during data transfer. The simulation of the network is implemented via the Network Simulator 2(NS2).