scholarly journals A Hybrid Distance Vector Link State Algorithm: Distributed Sequence Number

Author(s):  
Hussein Khayou ◽  
Margarita A. Orlova ◽  
Leonid I. Abrosimov
2019 ◽  
Vol 24 (6) ◽  
pp. 1937-1946 ◽  
Author(s):  
Chenhua Sun ◽  
Bo Yin ◽  
Zhibin Dou ◽  
Dai Jia ◽  
Ce Pang

Author(s):  
Hari Antoni Musril

An autonomous system (AS) is the collection of networks having the same set of routing policies. Each AS has administrative control to its own inter-domain routing policy. Computer networks consisting of a bunch of AS's with different routing will not be able to interconnecttion one another. This is causes communication in the network to be inhibited. For that we need a protocol that can connect each different AS. Border Gateway Protocol (BGP) is an inter-domain routing protocol i.e. between different AS  that is used to exchange routing information between them. In a typical inter-network (and in the Internet) each autonomous system designates one or more routers that run BGP software. BGP routers in each AS are linked to those in one or more other AS. The ability to exchange table routing information between Autonomous System (AS) is one of the advantages BGP. BGP implements routing policies based a set of attributes accompanying each route used to pick the “shortest” path across multiple ASs, along with one or more routing policies. BGP uses an algorithm which cannot be classified as a pure "Distance Vector", or pure "Link State". It is a path vector routing protocol as it defines a route as a collection of a number of AS that is passes through from source AS to destination AS. This paper discusses the implementation of the BGP routing protocol in the network that have different AS in order to interconnect. Its application using Packet Tracer 7.0 software for prototyping and simulating network. So that later can be applied to the actual network. Based on experiments that have been carried out, the BGP routing protocol can connect two routers that have different autonomous system.


Author(s):  
Mattia D'Emidio ◽  
Daniele Frigioni

Efficiently solving the problem of computing, in a distributed fashion, the shortest paths of a graph whose topology dynamically changes over time is a core functionality of many today’s digital infrastructures, probably the most prominent example being communication networks. Many solutions have been proposed over the years for this problem that can be broadly classified into two categories, namely Distance-Vector and Link-State algorithms. Distance-Vector algorithms are widely adopted solutions when scalability and reliability are key issues or when nodes have either limited hardware resources, as they result in being very competitive approaches in terms of both the memory and the computational point of view. In this paper, we first survey some of the most established solutions of the Distance-Vector category. Then, we discuss some recent algorithmic developments in this area. Finally, we propose a new experimental study, conducted on a prominent category of network instances, namely generalized linear preference (GLP) power-law networks, to rank the performance of such solutions.


2021 ◽  
Vol 6 (4) ◽  
pp. 59-69
Author(s):  
Mohd Faris Mohd Fuzi ◽  
Khairunnisa Abdullah ◽  
Iman Hazwam Abd Halim ◽  
Rafiza Ruslan

Network automation has evolved into a solution that emphasizes efficiency in all areas. Furthermore, communication and computer networks rely on a platform that provides the necessary technological infrastructure for packet transfer through the Internet using routing protocols. The Enhanced Interior Gateway Routing Protocol (EIGRP) is a hybrid routing protocol that combines the properties of both distance-vector and link-state routing methods. The traditional technique to configure EIGRP is inefficient and requires repeated processes compared to the network automation concept. Network automation helps to assist network administrators in automating and verifying the EIGRP configuration using scripting. This paper implemented network automation using Ansible to configure EIGRP routing and advanced configuration in the GNS3 environment. This study is focused on automated scripting to configure IP Addresses to the interfaces, EIGRP routing protocol, a default static route and advanced EIGRP configurations. Ansible ran the scripting on Network Automation Docker and pushed the configurations to the routers. The network automation docker communicated with other routers via SSH. In the testing phase, the running configuration between the traditional approach and automation scripting in the Ansible playbook was compared to verify EIGRP configurations' accuracy. The findings show that Ansible has successfully deployed the configuration to the routers with no errors. Ansible can help network administrators minimized human mistakes, reduce time-consuming and enable device visibility across the network environment. Implementing EIGRP authentication and hardening process can enhance the network security level for future study.


2015 ◽  
Vol 14 (01) ◽  
pp. 27-34
Author(s):  
Aletheia Anggelia Tonoro ◽  
Hartanto K. Wardana ◽  
Saptadi Nugroho

Meningkatnya, tingkat kecelakaan dan kemacetan di jalan raya, dan berkembangnya teknologi informasi dengan menggunakan wireless, menghadirkan teknologi Wireless Access for Vehicular Environment (WAVE) sebagai standart komunikasi kendaraan. Salah satu, perkembangan WAVE adalah Vehicular ad hoc networks (VANET). Teknologi VANET memungkinkan sebuah perangkat komunikasi dapat berkomunikasi secara langsung dengan perangkat lain dalam posisi bergerak misalnya mobil. Meskipun VANET dapat membantu menyelesaikan permasalahan lalu lintas seperti kecelakaan, dan kemacetan, tapi untuk membangun infrastruktur jaringan VANET tidaklah mudah dan membutuhkan biaya yang cukup besar. Untuk itu, muncullah network simulator seperti VEINS, SUMO dan OMNET++ yang dapat membantu mensimulasikan jaringan VANET tanpa harus mengeluarkan biaya untuk membangun infrastrukturnya. Karena itu, pada akan dilakukan simulasi jaringan VANET menggunakan VEINS, SUMO dan OMNET++. Dalam pengujian unjuk kerja VANET digunakan 3 jenis routing yaitu Optimized Link State (OLSR), Ad hoc on Demand Distance Vector Routing (AODV) dan Dynamic Manet on Demand (DYMO) dengan delay, throughput dan packet delivery ratio sebagai parameter pengujian.


2021 ◽  
Vol 2021 ◽  
pp. 1-32
Author(s):  
Kiran Afzal ◽  
Rehan Tariq ◽  
Farhan Aadil ◽  
Zeshan Iqbal ◽  
Nouman Ali ◽  
...  

IoV is the latest application of VANET and is the alliance of Internet and IoT. With the rapid progress in technology, people are searching for a traffic environment where they would have maximum collaboration with their surroundings which comprise other vehicles. It has become a necessity to find such a traffic environment where we have less traffic congestion, minimum chances of a vehicular collision, minimum communication delay, fewer communication errors, and a greater message delivery ratio. For this purpose, a vehicular ad hoc network (VANET) was devised where vehicles were communicating with each other in an infrastructureless environment. In VANET, vehicles communicate in an ad hoc manner and communicate with each other to deliver messages, for infotainment purposes or for warning other vehicles about emergency scenarios. Unmanned aerial vehicle- (UAV-) assisted VANET is one of the emerging fields nowadays. For VANET’s routing efficiency, several routing protocols are being used like optimized link state routing (OLSR) protocol, ad hoc on-demand distance vector (AODV) routing protocol, and destination-sequenced distance vector (DSDV) protocol. To meet the need of the upcoming era of artificial intelligence, researchers are working to improve the route optimization problems in VANETs by employing UAVs. The proposed system is based on a model of VANET involving interaction with aerial nodes (UAVs) for efficient data delivery and better performance. Comparisons of traditional routing protocols with UAV-based protocols have been made in the scenario of vehicle-to-vehicle (V2V) communication. Later on, communication of vehicles via aerial nodes has been studied for the same purpose. The results have been generated through various simulations. After performing extensive simulations by varying different parameters over grid sizes of 300 × 1500 m to 300 × 6000 m, it is evident that although the traditional DSDV routing protocol performs 14% better than drone-assisted destination-sequenced distance vector (DA-DSDV) when we have number of sinks equal to 25, the performance of drone-assisted optimized link state routing (DA-OLSR) protocol is 0.5% better than that of traditional OLSR, whereas drone-assisted ad hoc on-demand distance vector (DA-AODV) performs 22% better than traditional AODV. Moreover, if we increase the number of sinks up to 50, it can be clearly seen that the DA-AODV outperforms the rest of the routing protocols by up to 60% (either traditional routing protocol or drone-assisted routing protocol). In addition, for parameters like MAC/PHY overhead and packet delivery ratio, the performance of our proposed drone-assisted variants of protocols is also better than that of the traditional routing protocols. These results show that our proposed strategy performs better than the traditional VANET protocols and plays important role in minimizing the MAC/PHY and enhancing the average throughput along with average packet delivery ratio.


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