Efficient Bandwidth Allocation in Wireless Network using Whale Optimization Algorithm

Efficient bandwidth allocation is important when providing connection and satisfactory quality of service (QoS) to users in wireless networks. To optimize the available bandwidth, conventional allocation techniques are been opt for Artificial Intelligence (AI)-based techniques to enable automatic and efficient bandwidth allocation to users. This paper presents Whale Optimization Algorithm (WOA) approach for optimum bandwidth allocation in wireless network. WOA, a swarm intelligence AI technique, has been successful in optimization solution for several engineering problems. The allocation was based on bandwidth reservation scheme such that bandwidth is always available for upcoming users after distributing bandwidth to current users. The focus is on bandwidth allocation to real-time traffic to improve performance requirement. The performance analysis was discussed in terms of bandwidth connection probability with consideration to available bandwidth and number of realtime users in the network. The simulation results show WOA based bandwidth allocation gives good optimization manages the limited available bandwidth of the network