MAC protocol for ad hoc networks using a genetic algorithm.

The problem of obtaining the transmission rate in an ad hoc network consists in adjusting the power of each node to ensure the signal to interference ratio (SIR) and the energy required to transmit from one node to another is obtained at the same time. Therefore, an optimal transmission rate for eac...

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Publicado en:Scientific World Journal pp. 670190 - 670191
Autores principales: Elizarraras, Omar, Panduro, Marco, Méndez, Aldo L, Reyna, Alberto
Formato: Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2014
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: MAC protocol for ad hoc networks using a genetic algorithm.
      aug:
        au:
          Elizarraras, Omar
          Panduro, Marco
          Méndez, Aldo L
          Reyna, Alberto
        affil: Universidad Autónoma de Tamaulipas, UAMRR, Carr. Reynosa-San Fernando S/N, Colonia Arcoiris, 88779 Reynosa, TAMPS, Mexico.
      sug:
        subj:
          Algorithms
          Computer Communication Networks
          Wireless Communications
          Computer Simulation
          Signal Processing, Computer Assisted
      ab: The problem of obtaining the transmission rate in an ad hoc network consists in adjusting the power of each node to ensure the signal to interference ratio (SIR) and the energy required to transmit from one node to another is obtained at the same time. Therefore, an optimal transmission rate for each node in a medium access control (MAC) protocol based on CSMA-CDMA (carrier sense multiple access-code division multiple access) for ad hoc networks can be obtained using evolutionary optimization. This work proposes a genetic algorithm for the transmission rate election considering a perfect power control, and our proposition achieves improvement of 10% compared with the scheme that handles the handshaking phase to adjust the transmission rate. Furthermore, this paper proposes a genetic algorithm that solves the problem of power combining, interference, data rate, and energy ensuring the signal to interference ratio in an ad hoc network. The result of the proposed genetic algorithm has a better performance (15%) compared to the CSMA-CDMA protocol without optimizing. Therefore, we show by simulation the effectiveness of the proposed protocol in terms of the throughput.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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