Cloud computing is currently emerging quickly as a clientserver technology structure and, currently, providing distributed service applications. However, given the availability of a diverse range of wireless access technologies, people expect continuous connection to the most suitable technology that matches price affordability and performance goals. Among the main challenges of modern communication is the accessibility to wireless networks using mobile devices, with a high service quality (QoS) based on preferences of the users. Past literatures contain several heuristic approaches that use simplified rules to look for the best network that is available. Nevertheless, attributes of mobile devices need algorithms that are quick and effective in order to select best available network near realtime. This study proposes a hybrid intelligent handover decision algorithm primarily founded on two main heuristic algorithms: Artificial Bee Colony or ABC as well as Particle Swarm Optimization or PSO named ABCPSO to select best wireless network during vertical handover process. The ABCPSO algorithm has been optimized to achieve small cost function that are powered using the IEEE 802.21 standard taking into account different available wireless networks, the application requirements and the user preferences to improve QoS. Numerical results demonstrate that the ABCPSO algorithm compared to the related work has lower cost and delay, higher available bandwidth and less number of handover. © 2017.
For example, the authors in REF proposed a hybrid intelligent HO decision algorithm based on Artificial Bee Colony and Particle Swarm Optimization in order to select an optimal network during vertical HO.