Transmission Power and Effects on Energy Consumption and Performance in MANET
| Autor: | Marion Schaeffer, Emanuele Lindo Secco, Anna Kirpichnikova, Stewart Blakeway |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mobility model
Computer science Distributed computing ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Transmission Power Optimization MANET MANET Green Networks Transmission Power Optimization Energy Aware Networks Energy Aware Networks Energy consumption Mobile ad hoc network lcsh:Telecommunication Transmission (telecommunications) Green Networks lcsh:TK5101-6720 Network performance Energy source Energy (signal processing) Efficient energy use |
| Zdroj: | Blakeway, S, Kirpichnikova, A, Schaeffer, M & Secco, E 2019, ' Transmission Power and Effects on Energy Consumption and Performance in MANET ', EAI Endorsed Transactions on Mobile Communications and Applications . https://doi.org/10.4108/eai.13-7-2018.159336 EAI Endorsed Transactions on Mobile Communications and Applications, Vol 5, Iss 16 (2019) |
| ISSN: | 2032-9504 |
| DOI: | 10.4108/eai.13-7-2018.159336 |
| Popis: | This paper explores the effect that transmission power has on the performance of a Mobile Ad hoc Network (MANET). The goal of this research is to determine if the lifetime of the network can be prolongated by using less energy and thus, resulting in a more energy efficient ‘greener’ architecture. A total of 72 unique simulations are conducted of various configurations covering a large variety of possible scenarios: we examined configurations with a different number of nodes, number of traffic flows, mobility model, transmission power and geographical areas. Results show that there is an optimal transmission power, which enhances greater network performance: moreover, this optimal transmission setting makes the network more energy efficient in terms of depletion of the finite energy sources of the nodes. Our overall findings also confirm that higher transmission power results in less energy consumption |
| Databáze: | OpenAIRE |
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