Bio-Inspired Algorithm for QoS Optimization in Information-Centric Networking

Information-Centric Networking (ICN) is a paradigm shift for Future Internet Architecture to eliminate issues in current implemented network. To date mobile communication still bring challenges due to diversity of network access characteristics. To achieve high Quality of Service (QoS), an intelligent services and mechanism is primly essential. Hence, the problem with ICN is articulated as an optimization problem to sustain the desired Quality of Service (QoS). These requirements motivate this study to improve the mobile QoS by hybridization of bio-inspired algorithm in the communication architecture. The proposed intelligent algorithm comprised of mutation, migration and crossover stages. For this, a cost function is designed and adopted in the selected bio-inspired algorithms to evaluate their performance in QoS optimization process. The statistical findings display the superiority of Bio-Geography Based Optimization scheme in comparison to the other algorithms.