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.
Neelambike S1, Chandrika J2
Anna University, Chennai, India1, Manonmaniam Sundaranar University, India2, Francis Xavier Engineering College, India3
802.11P, Cognitive Radio, MAC, Multi-Channel, VANET | Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 9 , Issue: 1 )
Date of Publication :
March 2018
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