AGEN-AODV: an Intelligent Energy-Aware Routing Protocol for Heterogeneous Mobile Ad-Hoc Networks
| Autor: | Mohammad Nabati, Mohsen Maadani, Mohammad Ali Pourmina |
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| Rok vydání: | 2021 |
| Předmět: |
Routing protocol
Learning automata Computer Networks and Communications Computer science Network packet business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Mobile ad hoc network Energy consumption Distance-vector routing protocol Hardware and Architecture Ad hoc On-Demand Distance Vector Routing Convergence (routing) business Software Information Systems Computer network |
| Zdroj: | Mobile Networks and Applications. 27:576-587 |
| ISSN: | 1572-8153 1383-469X |
| DOI: | 10.1007/s11036-021-01821-6 |
| Popis: | Mobile Ad-hoc Networks (MANETs) consist of mobile nodes that usually have limited energy resources. MANET routing protocols should consider the dynamics and energy constraints of the network, and this makes them an optimization problem. Various optimization-based MANET routing protocols have been proposed in literature and each of them consider different metrics and try to cope with specific problems. In this paper, a novel heterogeneous MANET routing protocol called “learning Automata and Genetic based Ad hoc On-Demand Distance Vector” (AGEN-AODV) is proposed, in which routes are rated based on energy, stability, traffic, and hop-count criteria. The Genetic Algorithm (GA) in conjunction with Learning Automata (LA) is used to select the optimal route. The LA runs concurrent to the GA and initializes, adjusts and optimizes its coefficients based on the network feedback, preventing the GA from divergence or sub-optimal convergence. Compared with related works, the throughput, packet delivery ratio (PDR), delay, network lifetime, and energy consumption are improved by at least 4%, 8%, 8%, 13%, and 30% respectively. |
| Databáze: | OpenAIRE |
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