ICTACT Journal on Communication Technology

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A Decentralized Adaptive Medium Access Control for V2I Vanet


Affiliations
1 Department of Information Science and Engineering, GM Institute of Technology, India
2 Department of Computer Science and Engineering, Malnad College of Engineering, India
     

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Vehicular Adhoc Networks (VANETs) resemble similar characteristic as Mobile Adhoc Network (MANETs). The performance of VANET are affected by factors such as mobility, vehicle density and environmental condition. Provisioning smart infotainment application on such network is challenging and efficient MAC is required. Recently many Medium Access Control (MAC) based approaches adopting Time Division Medium Access (TDMA) and Carrier Sense Medium Access or Collision Avoidance (CSMA/CA) has been presented for VANET. The simulation outcome of exiting approaches shows that TDMA based approach outperforms CSMA/CA based approaches. However, TDMA based approaches incurs bandwidth wastages. To address, cognitive radio techniques is adopted by existing research. However, it incurs computation overhead and varied environmental condition such as urban, rural and highway are not considered. This work present a decentralized adaptive MAC (DAMAC) that maximize system throughput and minimize collision. Experiment are conducted to evaluate performance of DAMAC over exiting approaches. The outcome shows significant over existing approaches.

Keywords

802.11P, Cognitive Radio, MAC, Multi-Channel, VANET.
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  • A Decentralized Adaptive Medium Access Control for V2I Vanet

Abstract Views: 450  |  PDF Views: 1

Authors

S. Neelambike
Department of Information Science and Engineering, GM Institute of Technology, India
J. Chandrika
Department of Computer Science and Engineering, Malnad College of Engineering, India

Abstract


Vehicular Adhoc Networks (VANETs) resemble similar characteristic as Mobile Adhoc Network (MANETs). The performance of VANET are affected by factors such as mobility, vehicle density and environmental condition. Provisioning smart infotainment application on such network is challenging and efficient MAC is required. Recently many Medium Access Control (MAC) based approaches adopting Time Division Medium Access (TDMA) and Carrier Sense Medium Access or Collision Avoidance (CSMA/CA) has been presented for VANET. The simulation outcome of exiting approaches shows that TDMA based approach outperforms CSMA/CA based approaches. However, TDMA based approaches incurs bandwidth wastages. To address, cognitive radio techniques is adopted by existing research. However, it incurs computation overhead and varied environmental condition such as urban, rural and highway are not considered. This work present a decentralized adaptive MAC (DAMAC) that maximize system throughput and minimize collision. Experiment are conducted to evaluate performance of DAMAC over exiting approaches. The outcome shows significant over existing approaches.

Keywords


802.11P, Cognitive Radio, MAC, Multi-Channel, VANET.

References