Cognitive inspired optimal routing of OLSR in VANET

Vehicular Ad Hoc Networks (VANETs) evolved as a result of recent advances in wireless technologies. In such networks, the limitation of signal coverage and the high mobility of the nodes generate frequent changes in topology. The scope of reactive routing protocol in VANET is limited due to the topology instability of VANET whereas proactive routing protocol such as OLSR, designed for MANET is also unable to meet the broad range of data services envisioned for VANET. It is due to the inability of existing OLSR protocol to sense channel conditions and predict channel overload. In order to improve the routing efficiency, the network needs to possess some cognitive capacity to choose an optimal path accounting both link state and channel information and thereby overcoming the problem of channel incapacity. This paper attempts to enhance OLSR routing with help of cognitive process that involve in obtaining and storing knowledge on routing strategies to opt for the most suitable route and also appropriate channel for transmission.