An adaptive intersection selection mechanism using ant Colony optimization for efficient data dissemination in urban VAN
- PDF / 3,660,857 Bytes
- 19 Pages / 595.276 x 790.866 pts Page_size
- 11 Downloads / 220 Views
An adaptive intersection selection mechanism using ant Colony optimization for efficient data dissemination in urban VANET Ankita Srivastava 1 & Arun Prakash 1 & Rajeev Tripathi 1 Received: 30 September 2019 / Accepted: 18 February 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Vehicular ad-hoc network (VANET) is capable of offering a diverse set of services, and thus gains lot of attention from both academic and industrial communities. In VANET, the communicating links are prone to break easily; therefore, more attention is required to find reliable routes at a faster rate. In this context, information about connectivity and delay are valuable asset to establish and maintain a robust communication. In the proposed work, an Adaptive Intersection Selection Mechanism using Ant Colony Optimization (AISM), the problem of discovering a promising route subject to multiple Quality-of-service (QoS) constraint is emphasized. In previously reported literature, the best searched route cannot guarantee successful data packet transmission, even when it fulfills the QoS constrains at the time of discovery. To overcome this gap, AISM follows two simple strategies: Firstly, it exploits prediction-based mechanism for real time road evaluation; secondly, the route is formed between two consecutive intersections, instead of a long route between the network nodes. The connectivity and delay information obtained from small control packets called forward and backward ants are used to prioritize the candidate routes. Furthermore, by means of extensive simulation, outcomes in urban settings show that AISM outperforms the existing protocols in terms of packet delivery ratio, average delay and hop count. Keywords Geographic routing . Vehicular ad hoc network (VANET) . Intersection based . Connectivity . Delay . Optimum route
1 Introduction In recent era, the rapid growth of transportation has intensified the importance of traffic regulation and safety improvement act on highways and streets. Therefore, the automobile industries are now days undergoing state of revolution [1, 2], and has brought a significant transformation from a simple moving vehicle to an advanced intelligent carrier system [3]. Aiming towards high safety and travelers’ comfort, the worldwide governments are actively deploying Intelligent Transportation
* Ankita Srivastava [email protected] Arun Prakash [email protected] Rajeev Tripathi [email protected] 1
Department of Electronics & Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh 211004, India
Systems (ITS) [4], where Vehicular Ad Hoc Network (VANET) shows remarkable research direction up to the date [5]. In general, VANET have some special features, such as, high mobility among vehicles, constrained movement due to road topology, large scale network etc. Due to the fast movement, communication link between vehicles is highly unstable, leading to degradation in routing performance. Usually, Location-based routing protocol
Data Loading...