Abstract
Vehicular ad hoc network (VANET) is considered as a sub-set of mobile ad hoc network (MANET). VANET can provide road safety by generating collision warning messages before a collision takes place, lane change assistance; can provide efficient traffic system by introducing cooperation among vehicles; and can also improves in infotainment applications like cooperative file accessing, accessing internet, viewing movies etc. It provides smart Transportation System i.e., wireless ad-hoc communication among vehicles and vehicle to roadside equipments. VANET communication broadly distinguished in two types; 1) vehicle to vehicle interaction, 2) vehicle to infrastructure interaction. The main objective of VANET is to provide safe, secure and automated traffic system. For this automated traffic techniques, there are several types of routing protocols has been developed. MANET routing protocols are not equally applicable in VANET. In the recent past Roy and his group has proposed several study in VANET transmission in [1-3]. In this study, we propose a modified AODV routing protocol in the context of VANET with the help of dqueue introduction into the RREQ header. Recently Saha et al [4] has reported the results showing the nature of modified AODV obtained from the rudimentary version of their simulation code. It is mainly based on packet delivery throughput. It shows greater in-throughput information of packet transmission compare to original AODV. Hence our proposal has less overhead and greater performance routing algorithm compared to conventional AODV. In this study, we propose and implement in the NCTUns-6.0 simulator, the neural network based modified dqueue AODV (dqAODV) routing protocol considering Power, TTL, Node distance and Payload parameter to find the optimal route from the source station (vehicle) to the destination station in VANET communications. The detail simulation techniques with result and output will be presented in the conference.
Highlights
IntroductionFor VANET the routing protocols works on adhoc basis and infrastructure basis in the network [Fig.1].Where the ad-hoc network is highly unstable as vehicle’s speed and lane change factors
For VANET the routing protocols works on adhoc basis and infrastructure basis in the network [Fig.1].Where the ad-hoc network is highly unstable as vehicle’s speed and lane change factors. carAd-hoc routing protocol fist setup the path exchange information with packets and take decision of runtime alternatives paths [6]
Applying fuzzy-neural rule, max(FT1, FT2, FT3, FT4) = 0.175, i.e., ≤ 0.21 and max(FV1, FV2, FV3, FV4) = 0.4335, i.e., ≤ 0.54, the route detected under MAODV scheme is accepted and may be used for traffic flow
Summary
For VANET the routing protocols works on adhoc basis and infrastructure basis in the network [Fig.1].Where the ad-hoc network is highly unstable as vehicle’s speed and lane change factors. Proactive routing protocols are based on shortest path first algorithms [6] It maintains and update routing information’s on routing in between all nodes of a supplied network at all times, even if the paths are not currently being used. On demand or reactive routing protocols were planned to overcome the overhead problem, which was created by proactive routing protocols Maintaining only those routes that are currently live and active [6]. These protocols implement route determination on a demand basis or need basis and maintain only the routes that are currently in use It reducing the burden and overhead on the network when only a subset of available routes is in active at any point of time [6]. Irrespective of that, if we taken the existing neighbor Ad-hoc network, that can help to restart the communication with that isolate node(Vehicle),which is more economic, as we do not need any extra equipment or extra data communication
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