IMAN: An Intelligent MANET routing system
Currently, in any MANET, one protocol routes packets to their destination regardless of the network context. This `one size fits all' approach is far from optimum. Therefore, in this paper, we introduce an Intelligent MANet routing protocol system (IMAN), which employs Genetic Algorithms to sel...
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| creator | Saeed, N H Abbod, M F Al-Raweshidy, H S |
| description | Currently, in any MANET, one protocol routes packets to their destination regardless of the network context. This `one size fits all' approach is far from optimum. Therefore, in this paper, we introduce an Intelligent MANet routing protocol system (IMAN), which employs Genetic Algorithms to select the most optimum protocol based on the network context. Comprehensive performance models of three MANET routing protocols (AODV, DSR and OLSR) were built based on the Neuro-Fuzzy Inference System. Representative MANET scenarios, with different number of nodes and mobility schemes, were tested by means of simulations. Findings indicated considerable reduction in packets delay and data load when IMAN was utilized. |
| doi_str_mv | 10.1109/ICTEL.2010.5478779 |
| format | Conference Proceeding |
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This `one size fits all' approach is far from optimum. Therefore, in this paper, we introduce an Intelligent MANet routing protocol system (IMAN), which employs Genetic Algorithms to select the most optimum protocol based on the network context. Comprehensive performance models of three MANET routing protocols (AODV, DSR and OLSR) were built based on the Neuro-Fuzzy Inference System. Representative MANET scenarios, with different number of nodes and mobility schemes, were tested by means of simulations. 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This `one size fits all' approach is far from optimum. Therefore, in this paper, we introduce an Intelligent MANet routing protocol system (IMAN), which employs Genetic Algorithms to select the most optimum protocol based on the network context. Comprehensive performance models of three MANET routing protocols (AODV, DSR and OLSR) were built based on the Neuro-Fuzzy Inference System. Representative MANET scenarios, with different number of nodes and mobility schemes, were tested by means of simulations. Findings indicated considerable reduction in packets delay and data load when IMAN was utilized.</abstract><pub>IEEE</pub><doi>10.1109/ICTEL.2010.5478779</doi><tpages>4</tpages></addata></record> |
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| subjects | Artificial intelligence Context modeling Design engineering Fuzzy logic Genetic algorithms Intelligent systems MANET routing protocol QoS Mobile ad hoc networks Neuro-Fuzzy Routing protocols Wireless application protocol Wireless networks |
| title | IMAN: An Intelligent MANET routing system |
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