mca 19(16): e2

Research Article

Transmission Power and Effects on Energy Consumption and Performance in MANET

Download140 downloads
  • @ARTICLE{10.4108/eai.13-7-2018.159336,
        author={S. Blakeway and A. Kirpichnikova and M. Schaeffer and E. L. Secco},
        title={Transmission Power and Effects on Energy Consumption and Performance in MANET},
        journal={EAI Endorsed Transactions on Mobile Communications and Applications},
        volume={5},
        number={16},
        publisher={EAI},
        journal_a={MCA},
        year={2019},
        month={1},
        keywords={MANET, Green Networks, Transmission Power Optimization, Energy Aware Networks},
        doi={10.4108/eai.13-7-2018.159336}
    }
    
  • S. Blakeway
    A. Kirpichnikova
    M. Schaeffer
    E. L. Secco
    Year: 2019
    Transmission Power and Effects on Energy Consumption and Performance in MANET
    MCA
    EAI
    DOI: 10.4108/eai.13-7-2018.159336
S. Blakeway1,*, A. Kirpichnikova2, M. Schaeffer3, E. L. Secco4
  • 1: Faculty of Science and Engineering, School of Computer Science, University of Manchester, UK
  • 2: Department of Computing Science and Mathematics, University of Stirling, UK
  • 3: Institut National Des Sciences Appliquees, INSA, France
  • 4: Robotic Laboratory, Department of Mathematics & Computer Science, Liverpool Hope University, Hope Park L16 9JD, UK
*Contact email: Stewart.blakeway@manchester.ac.uk

Abstract

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.