Fitness function based Particle Swarm Optimization Algorithm for mobile adhoc networks
| Autor: | Rohan Gupta, Aashdeep Singh, Amanpreet Kaur, Gurpreet Singh |
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| Předmět: |
Environmental Engineering
Fitness function Computer science General Chemical Engineering General Engineering Particle swarm optimization 020206 networking & telecommunications 02 engineering and technology Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) 020201 artificial intelligence & image processing Algorithm Biotechnology |
| Zdroj: | Scopus-Elsevier |
| Popis: | Mobile adhoc network is a network which carries out discussion between nodes in the absence of infrastructure. The fitness function based Particle Swarm Optimization Algorithm has been projected for improving the network performance. The effect of changing the number of nodes, communication range and transmission range is investigated on various qualities of service metrics namely packet delivery ratio, throughput and average delay. The investigation has been carried out using NS-2 simulator. |
| Databáze: | OpenAIRE |
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