Geocasting in vehicular adhoc networks using particle swarm optimization

Recently, geocast routing has been intensively investigated for reliable and efficient dissemination of information. This can be attributed to the fact that in Vehicular Adhoc Networks (VANETs), group of vehicles moving on road always shares geographical region and most of the Intelligent Transport Systems (ITS) applications require sending information to all vehicles belonging to a given geographical region. Various techniques have been used for geocasting such as peripheral node based Next Hop Vehicle (NHV) selection, voronoi diagram based NHV selection, cache agent based NHV selection etc. These techniques have shown limited performance due dynamic characteristics of VANETs. In this paper, we have proposed Geocasting through Particle Swarm Optimization (GeoPSO) protocol. GeoPSO selects NHV by using Particle Swarm Optimization (PSO) technique. The empirical results show that GeoPSO outperforms tradition techniques in terms of packet deliver and network load.

[1]  Shuai Chen,et al.  Research on Wireless Access in Vehicular Environment Based on IEEE 802.11p , 2012 .

[2]  Sagar Naik,et al.  Vehicular Networks for a Greener Environment: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[3]  Dewan Tanvir Ahmed.  Multicasting in Ad Hoc Networks , 2005 .

[4]  Gurdip Singh,et al.  A Communication Protocol for a Vehicle Collision Warning System , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[5]  Amer O. Abu Salem,et al.  Dynamic Safety Message Power Control in VANET Using PSO , 2014, ArXiv.

[6]  Hannes Hartenstein,et al.  A tutorial survey on vehicular ad hoc networks , 2008, IEEE Communications Magazine.

[7]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[8]  Sooksan Panichpapiboon,et al.  A Review of Information Dissemination Protocols for Vehicular Ad Hoc Networks , 2012, IEEE Communications Surveys & Tutorials.

[9]  Marc Emmelmann,et al.  Vehicular networking : automotive applications and beyond , 2010 .

[10]  Eylem Ekici,et al.  Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions , 2011, IEEE Communications Surveys & Tutorials.

[11]  Ivan Stojmenovic,et al.  Voronoi diagram and convex hull based geocasting and routing in wireless networks , 2006, Wirel. Commun. Mob. Comput..

[12]  Yu Wang,et al.  Routing in vehicular ad hoc networks: A survey , 2007, IEEE Vehicular Technology Magazine.

[13]  Lars Wischhof,et al.  Information dissemination in self-organizing intervehicle networks , 2005, IEEE Transactions on Intelligent Transportation Systems.

[14]  Marco Gramaglia.  VANET-based optimization of infotainment and traffic efficiency vehicular services , 2013 .

[15]  José García-Nieto,et al.  Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics , 2010, Eng. Appl. Artif. Intell..

[16]  Liviu Iftode,et al.  Location-Aware Services over Vehicular Ad-Hoc Networks using Car-to-Car Communication , 2007, IEEE Journal on Selected Areas in Communications.

[17]  T. Russell Hsing,et al.  Vehicular networks and applications: Challenges, requirements and service opportunities , 2012, ICNC.

[18]  Omprakash Kaiwartya,et al.  Geocast routing: Recent advances and future challenges in vehicular adhoc networks , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[19]  Sanjoy Das,et al.  Performance Analysis of P-GEDIR Protocol for Vehicular Ad Hoc Network in Urban Traffic Environments , 2013, Wirel. Pers. Commun..

[20]  Omprakash Kaiwartya,et al.  Cache agent-based geocasting in VANETs , 2015, Int. J. Inf. Commun. Technol..

[21]  Wang-Cheol Song,et al.  Data aggregation for Vehicular Ad-hoc Network using particle swarm optimization , 2012, 2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS).

[22]  Song Guo,et al.  Improving energy efficiency for multicasting in wireless ad-hoc networks with adaptive antennas , 2005, WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005..

[23]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.