Dynamic Bandwidth Allocation Algorithm to improve Quality of Service in Intelligent Home Networks

Abstract

Internet of Things (IoT) has played a tremendous change in the Information Technology (IT) environments, and thus its importance has also been realized within Intelligent Home Networks (IHNs). IHNs ensure comfort, safety, healthcare, automation, energy conservation, and remote management to devices and users. However, we have realized that more advanced devices and services continue to be introduced and used in IHNs. This has led to competitions of the limited available network resources, services, and bandwidth. In this paper, we propose a Novel Dynamic Bandwidth Allocation (NoDBA) algorithm to deal with bandwidth management and allocation. The algorithm integrates two algorithms, namely; Offline Cooperative Algorithm (OCA) and Particle Swarm Optimization (PSO). PSO defines the priority limits for subnets and nodes in the network. Meanwhile, OCA facilitates dynamic bandwidth allocation in the network. Network Simulator-2 (NS-2) was used to simulate and evaluate NoDBA and showed improved results compared to the traditional bandwidth allocation algorithm.