Application of Particle Swarm Optimizer on Load Distribution for Hybrid Network Selection Scheme in Heterogeneous Wireless Networks | Zendy

Yoke Chek Yee | Zendy; Su Wei Tan | Zendy; Heng Siong Lim | Zendy; Su Fong Chien | Zendy

Open Access

Application of Particle Swarm Optimizer on Load Distribution for Hybrid Network Selection Scheme in Heterogeneous Wireless Networks

Author(s) -

Yoke Chek Yee,

Su Wei Tan,

Heng Siong Lim,

Su Fong Chien

Publication year - 2012

Publication title -

isrn communications and networking

Language(s) - English

Resource type - Journals

eISSN - 2090-4363

pISSN - 2090-4355

DOI - 10.5402/2012/340720

Subject(s) - computer science , particle swarm optimization , heterogeneous network , wireless network , distributed computing , selection (genetic algorithm) , computer network , wimax , terminal (telecommunication) , scheme (mathematics) , wireless , mathematical optimization , algorithm , telecommunications , artificial intelligence , mathematics , mathematical analysis

Mobile terminal with multiradios is getting common nowadays with the presence of heterogeneous wireless networks such as 3G, WiMAX, and WiFi. That Network selection mechanism plays an important role in ensuring mobile terminals are always connected to the most suitable network. In this paper, we introduce and evaluate the performance of load distribution model to facilitate better network selection. We focus on the optimization of network resource utilization using the particle swarmoptimizer (PSO) with the objective to distribute the system load according to the various conditions of the heterogeneous networks in order to achieve minimum system cost. Simulation results showed that the proposed approach outperformed the conventional iterative algorithm by a cost improvement of 7.24% for network size of 1000 mobile terminals using 10 particles.

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