Aiming at low throughput and long delay problem of cooperative download method put forward by current vehicular Ad Hoc networks( VANET)
a dynamic distance between adjacent vehicles clustering-based opposite direction cooperative downloading approach is proposed. According to different density of vehicles on road
dynamically change distance of adjacent vehicles to make cluster maintain suitable size; clustering algorithm is used for vehicle clustering; use clustered vehicles to provide users with cooperative download. The approach makes full use of vehicles on the road and makes more vehicles join cooperative download and the throughput of user’s data acquiring is improved
at the same time
downloading delays is reduced. Simulation results show that
compared with single vehicle opposite direction cooperative downloading
the clustering-based opposite direction cooperative downloading improves throughput by 50 % in dead zone.
VWCA: An efficient clustering algorithm in vehicular ad hoc networks [J] . Ameneh Daeinabi,Akbar Ghaffar Pour Rahbar,Ahmad Khademzadeh. Journal of Network and Computer Applications . 2010 (1)