Abstract
Low earth orbital satellites are able to provide access to worldwide wireless or regional mobile services. The Low Earth Orbit (LEO) satellite arrangement generally has a cellular type of contact, similar to the cellular telephone structure. Neighboring satellites are linked with each other through Inter Satellite Links (ISLs). The user device interconnects with the satellite through a user mobile link (UML) while Gateway Link (GWL) is used to link a satellite with an earth station. The consumer’s call duration may exceed than the service duration of a satellite necessitating hand over of the call to another detectible satellite to avoid disruption of the call. At the time of handover a user may be covered by more than single satellite. Either the mobile stations at earth or the serving satellite must be intelligent enough to handover the call to a satellite having longest coverage time. In this paper, we suggest an algorithm which decreases the predictable hand over rate by selecting a satellite with the largest service time. Using the Particle Swarm Optimization (PSO) algorithm, the serving satellite itself calculates the service time of neighboring satellites and optimally handover the call to a satellite with a maximum coverage time. Simulations are performed using MATLAB and various results are obtained for two prominent LEO satellite constellations, IRIDIUM and GLOBALSTAR. The effects of the satellite parameters (elevation angle, height, angular velocity and trace angle) on service time are calculated mathematically by drawing different scenarios.
Tahir Rehman, Faizullah Khan, Surat Khan, Amjad Ali. (2017) Optimizing Satellite Handover Rate Using Particle Swarm Optimization (PSO) Algorithm, Journal of Applied and Emerging Sciences, Volume 7, Issue 1.
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