OLSR Parameter Tunning

Rupa Kamboj, Mohinder Singh
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Vehicular ad hoc network is an infrastructure less network where each network node not only acts as a host but also acts as a router. The environment is highly dynamic due to mobile nature of nodes. The proper functioning of these networks depends upon a routing protocol that can respond to the rapid changes in the topology. Our interest is focused on the OLSR routing protocol, which uses hello and topology control (TC) messages to discover and then disseminate link state information throughout
more » ... the mobile ad hoc network. We discuss the impact of Hello messages on the performance of OLSR in term of packet delivery ratio, delay and throughput. The objective of this thesis is to study the impact of tuning on the performance of mobile routing Protocol, OLSR, which is proactive routing protocol. Since not many VANETs have been deployed, most of the studies are based on simulation. Also for this thesis, experiments are conducted by network simulator 2.34 by using tool command language. A basic framework is employed to analyze the performance of routing protocol OLSR by tuning its parameters. We firstly evaluated the performance in terms of QOS by applying an optimization strategy that obtains automatically efficient OLSR parameter configurations by coupling two different stages: an optimization procedure and a simulation stage. It is observed that tuned-OLSR outperformed OLSR. The three basic parameters are tuned by applying genetic (GA), simulate annealing (SA) and particle swarm (PSO) algorithms. It shows considerable increase in throughput, packet delivery ratio and a substantial decrease in delay as compared to the respective performance of OLSR. The optimization methodology presented in this work (coupling meta heuristics and a simulator) offers the possibility of automatically and efficiently customizing any protocol for any VANET scenario. Keywords-OLSR, PSO, GA, SA 1.3OLSR Routing Protocol Optimization for VANETs: VEHICULAR ad hoc networks (VANETs) are selfconfiguring networks where the nodes are vehicles(equipped with on board computers), elements of road side infrastructure, sensors, and pedestrian personal device Wi Fi (IEEE 802.11 based) technologies are used for deploying such kind of networks. [5] In VANETs, the Wi Fi limitations in coverage and capacity of the channel, the high mobility of the nodes, and the presence of problems generate packet loss, frequent topology changes and network fragmentation. Thus, a great deal of effort is dedicated to offer new MAC access strategies and to design efficient routing protocols. Most of VANET requests critically rely on routing protocols. Thus, an optimal routing strategy, that makes better use of resources, is crucial to deploy efficient VANETs that actually work in volatile networks. [6] Finding well-suited parameter configurations of present mobile ad hoc network protocols is a way of improving their performance, even creation the difference between a network that does work or does not, e.g. the networks with high routing load bear from congestion and cannot ensure timely and reliable delivery of messages [7] . Genetic Algorithms(GA)are one of the most popular metaheuristic algorithms. A Genetic algorithm repeats a process, and with a given selection criterion selects the two parents from the entire population, they are then recombined, the resulting offspring's are mutated, and at the end they are calculated and inserted back into the population following a given criterion [8] .[9] Recently there has been increasing interest in exploring computations and communication capabilities in transportation system. Many automobiles manufacture started to equip GPS, digital map and communication interface with new vehicles. Exiting cars can easily upgrade with the fast advance of information technology. The rising demand of wireless communication and the need of new wireless devices have tend to research a self organizing, self healing network without the interference of centralized or pre established infrastructure. The networks with the nonappearance of any centralized infrastructure are called ad hoc networks [10]. Vehicular Ad Hoc Network (VANET) is the special class of Mobile Ad Hoc Networks (MANET) [11] with unique feature. which may retransmit its messages. This set of selected touching nodes is called the "Multipoint Relay" (MPR) clan of that node. VANET Supports Two Types Of Communication Vehicle to vehicle and vehicle to infrastructure communication. In vehicular communication, information generation and distribution occur with the vehicle to vehicle to infrastructure. july 2015: OLSR routing protocol is one of the most used proactive routing protocol used in VANETS. It can be viewed as an autonomous network, consist of multiple sensor nodes, which are mobile in nature. The routing is the a good number of key issue in VANETS, as the nodes are mobile in nature, so it is not likely to have a fixed topology. The paper presents an optimization technique to tune the parameters of OLSR protocol for routing operations. The paper discuss the impact of genetic algorithm which overall improves the performance of algorithm by tuning parameters and debating the variation shown by the results [31] . Sugendha, Bandana Sharma may 2015: This paper presents a class of routing protocols for vehicular ad hoc networks (VANETs) called the Optimized link state routing protocol (OLSR). OLSR protocol performs well in networks taking changing topology of nodes, as it can familiarize in such environments easily and updated routing table is maintained by all nodes all the time. Wide range of improvement is possible by changing only the configuration parameters of OLSR protocol. Modification to the OLSR protocol is needed to rise the performance of the OLSR protocol in a VANET . This can be done by implementing Genetic Algorithm on OLSR protocol and this result in fine auto-tuned OLSR configuration. Performance becomes improved in terms of increased PDR and Throughput and reduced End to End Delay with optimized-OLSR (OLSR-GA) protocol [8] . RadhikaChauhan, NitinGoyal 2016: OLSR (Optimization Link State Routing Protocol) be designed for mobile ad hoc networks (MANETs), but later on it is used for WSNs (wireless sensor networks) and vehicular ad hoc networks (VANETs) . The protocols build and maintains the route linking source and the destination with least cost with the help of Hello and control messages. The OLSR protocol is suitable for high density networks. The OLSR operation allow an easy integration into existing operating system. The production of network depends upon the routing protocol. OLSR does not give the suitable performance with alive values of parameters. Therefore it is essential to modify OLSR parameters for improved performance. The objective of this paper is to study the a lot of techniques used for parameter tuning for OLSR and analyze the breach between these techniques. This is accomplished by simulation study of the existing techniques using NS2 simulator [30] . Venkaiahnaidu.A, B.RameshBabufeb 2012: Ad hoc On-Demand Distance Vector (AODV) is a reactive routing protocol that establishes a route based requirement. By ducking counting-to-infinity problem it perform better when compare to common routing protocols of the Internet such as IGRP, EIGRP, OSPF, RIP, and IS-IS. Though reactive and on-demand, AODV not use on all available dynamic range resources in mental wireless mesh networks yet maintaining a high throughput to route packets. The motive of the paper we propose an better AODV protocol named AODV-COG that provide an interface to a route for efficient usage of the spectrum and finding a path with high throughput among the path with same hop count. Simulations in NS-2 need changes to support cognitive wireless mesh network conditions. In this paper our focus on Optimized Link State Routing Protocol (OLSR) [29] . Mohammad Al-Rabayah and Robert Malaneyjuly 2012:Vehicular ad hoc networks (VANETs) mobile wireless networks that are designed to support vehicular safety, traffic checking, and other commercial applications. Within VANETs, vehicle mobility will reason the communication links between vehicles to normally be broken. Such link failures need a direct response starting the routing protocols, important to a potentially too much add to in the routing overhead and degradation in network scalability. In this we propose a new fusion location-based routing protocol that is mainly designe to address this . Our new protocol combine features of reactive routing by location-based geographic routing that professionally uses the location information available. The protocol is designed to adorably exit to reactive routing as the location information degrades .We show through analysis and simulation that our protocol is scalable optimal overhead, even in the presence of high location errors. Our protocol provides an enhanced yet practical locationenabled solution that can be deployed in all VANET-type environments [12] . VANETs are worthy of further exploration and research, and it is believed that more applications and research results exist in the future.In the future, a main research issue of vehicular ad hoc networks focuses on designing an integrated system architecture that can make use of multiple different technologies and heterogeneous vehicular networks. Thus, developing reliable and flexible system architecture is one of the main research trends. In future our target is to further tune the performance of OLSR along with other parameters such as TC or MID values can be done. ACKNOWLEDGMENT Genuinely, thanks to all those researchers who published articles and helped others to comprehend the subject of green computing, who contributed in the development of a supreme simulator GreenCloud and finally, to those who developed a presentable and interactive template
doi:10.23956/ijarcsse/v7i5/0165 fatcat:23xkyx54ozhfxmxhgydkoueqbq