Agent-based energy constrained channel allocation in mobile computing using GA

Khanbary, Lutfi Mohammed Omer; Vidyarthi, Deo Prakash

doi:10.1504/ijwmc.2014.063053

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Channel Assignment In Mobile Computing1

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Cited by 3 publications

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“…Handling handoff is critical in mobile computing, as a loss of connection can occasionally result in the need to restart an application from the beginning. Handoffs that effectively handle traffic fluctuations while maintaining high utilization are managed using various techniques [16,17].…”

Section: Channel Assignment In Mobile Computingmentioning

confidence: 99%

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2023

IJWMN

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In this work, the hybrid techniques of genetic algorithm (GA) and particle swarm optimization (PSO) are presented. PSO and GA are two population-based heuristic search methods that can be applied to the channel allocation optimization problem. GAPSO is based on a mixture of particle swarm optimization (PSO) and genetic algorithms (GA). Individuals of a new generation are produced in GAPSO by PSO in addition to crossover and mutation operations as in GA. In order to reduce the number of blocked calls and handoff failures in the mobile network, the Hybrid GAPSO algorithm is used to allocate tasks to resources efficiently. The proposed strategy optimizes the channel allocation using the GAPSO.

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Section: Channel Assignment In Mobile Computingmentioning

confidence: 99%

“…A channel allocation model to maximize the consumed power is proposed by [17] using GA. A power management solution is offered to determine the most energy efficient channel allocation in a mobile network. A performance evaluation simulation study shows how accurate the proposed method is.…”

Section: Related Workmentioning

confidence: 99%