Research of Ad Hoc Network Routing Based on NS2 by Performance Comparison

2014 ◽  
Vol 989-994 ◽  
pp. 4633-4636
Author(s):  
Xiao Long Tan ◽  
Jia Zhou ◽  
Wen Bin Wang

In recent years,the ad hoc network has been paid extensive attention due to its characteristics of non-center and self-organization.Firstly this paper introduces three typical routing protocols AODV,DSDV,DSR,and the principles of them; then,adopts the NS2 simulation platform to simulate the performance of end-to-end delay,routing overhead and packet delivery ratio by changing the number of nodes and the paused time of nodes.Finally,by comparing the simulating results, the comparison conclusion is provided.

2008 ◽  
Vol 5 (2) ◽  
pp. 49
Author(s):  
Siti Rahayu Abdul Aziz ◽  
Nor Adora Endut ◽  
Shapina Abdullah ◽  
Mior Norazman Mior Daud

A mobile ad-hoc network (MANET) is a kind of wireless ad-hoc network, and is a self-configuring network of mobile routers connected wirelessly. MANET may operate in a standalone fashion, or may be connected to the larger Internet. Many routing protocols have been developed for MANETs over the past few years. This project evaluated three specific MANET routing protocols which are Ad-hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR) and Dynamic MANET On-demand routing protocol (DYMO) to better understand the major characteristics of these routing protocols. Different performance aspects were investigated in this project including; packet delivery ratio, routing overhead, throughput and average end-to-end delay. This project used Linux as an operating system based platform and discrete event simulator NS-2 as simulation software to compare the three MANET routing protocols. This project’s results indicated that all routing protocols perform well according to the performance metrics that have been selected. For packet delivery ratio metric, performance of AODV, DSR and DYMO routing protocols are quite similar to each other. The DSR performance is better compared to AODV and DYMO and has stable normalized routing overhead. In terms of throughput, DYMO routing protocol performs the best as compared to AODV and DSR. Finally, for average end to end delay, DYMO and AODV perform well in comparison with DSR.


2019 ◽  
Vol 1 (1) ◽  
pp. 77-85
Author(s):  
Yunia Puspita Wulandari ◽  
Andy Hidayat Jatmika ◽  
Fitri Bimantoro

Mobile Ad-Hoc Network (MANET) is a development of the Ad-Hoc Network, where the nodes of this network have dynamic mobility. There are several types of routing protocols in MANET, one of which is AOMDV. Route discovery on the AOMDV routing protocol is done by calculating the distance based on the number of hops. If the number of hops increased, it may cause a considerable delay and a decrease in throughput. This study compares the performance of the AOMDV routing protocol with the Path Aware-AOMDV (PA-AOMDV) routing protocol. PA-AOMDV routing protocol is obtained through modifications to the performance of the AOMDV protocol with the Path Aware SHORT algorithm. The Path Aware SHORT algorithm is a method to reduce the number of hops. SHORT improves routing optimization by monitoring routes and optimizing these routes that have better paths. The performance of both protocols will be seen based on four parameters, namely throughput, average end-to-end delay, packet delivery ratio, and routing overhead. Result shows that the throughput increased for 50 nodes is 61,84% and for 100 nodes is 45,2%, average end-to-end delay decreased for 50 nodes is 0,066% and for 100 nodes 0,12%, packet delivery ratio increased for 50 nodes is 60,87% and for 100 nodes 82,02%, and routing overhead decreased for 50 nodes is 67,07% and 100 nodes 45,36%.


2022 ◽  
Vol 14 (1) ◽  
pp. 28
Author(s):  
Yelena Trofimova ◽  
Pavel Tvrdík

In wireless ad hoc networks, security and communication challenges are frequently addressed by deploying a trust mechanism. A number of approaches for evaluating trust of ad hoc network nodes have been proposed, including the one that uses neural networks. We proposed to use packet delivery ratios as input to the neural network. In this article, we present a new method, called TARA (Trust-Aware Reactive Ad Hoc routing), to incorporate node trusts into reactive ad hoc routing protocols. The novelty of the TARA method is that it does not require changes to the routing protocol itself. Instead, it influences the routing choice from outside by delaying the route request messages of untrusted nodes. The performance of the method was evaluated on the use case of sensor nodes sending data to a sink node. The experiments showed that the method improves the packet delivery ratio in the network by about 70%. Performance analysis of the TARA method provided recommendations for its application in a particular ad hoc network.


2013 ◽  
Vol 834-836 ◽  
pp. 1087-1090
Author(s):  
Ping Zong ◽  
Jun Qin

With the expansion of the network, especially in the case of the nodes frequently moving, clustering routing protocol can reduce the impact of the changed topology on routing protocols, and improve the network scalability and reduce routing overhead. Based on the analysis of the problems of CBRP clustering routing protocol, this paper presents a CRBAC clustering routing algorithm based on ant colony algorithm. The simulation results show that, in the circumstance that the algorithm doesnt significantly increase the routing overhead, improved clustering routing protocol CRBAC get better performance than CBRP. They reflect on the clusters structure more reasonable and stable, the average end-to-end delay and network lifetime significantly improved.


2014 ◽  
Vol 644-650 ◽  
pp. 2969-2972
Author(s):  
Yue Wei Wang ◽  
Ding Yi Ji

Given a scenario of Vehicle Ad hoc Network (VANET), this paper presented a GIS-Based routing (GBR) strategy to resolve frequent reconstruction caused by rapid topology changes. Due to the use of road information based on GIS, the protocol can evade permanent or temporary topology holes respectively which frequently occurred in the city scenario. Simulation results showed new routing protocols could achieve better performance in packet delivery ratio and proved GBR’s lower routing overhead, as well as it is better performances in high mobility, compared with DSR in urban vehicle environment.


Author(s):  
Muhamad Zaelani Syahrir Ramadhan ◽  
I Wayan Agus Arimbawa ◽  
Moh Ali Albar

Vehicular Ad-hoc Network is the concept of a subset of Mobile Ad-Hoc Networks (MANET) where vehicles act as nodes on the network. Protocol routing is very influential on the performance of the network to deal with challenges related to the rapidly changing network topology. This study analyze the routing performance of the AODV protocol on vanet networks in the district of Cakranegara by analyzing performance results using end to end delay parameters, packet delivery ratio (PDR), throughput, and routing overhead. The average Maximum value at end to end delay is 940.577 ms while the minimum value is 50,065 ms, and the average speed value decreases delay at speed 50 to 30 km / h by 78,314 ms and from 30 to 10 km / hour decreased by 102,827 ms. The maximum average value in the packet delivery ratio is 84.75% while the minimum value is 55.33%, and the average speed value decreases the ratio at the speed of 50 to 30 km / hour by 7.26% and from 30 to 10 km / h has increased by 10.39%. The average maximum value at throughput is 69,553 Kbps while the minimum value is 10.06 Kbps, and the average speed value decreases throughput at speeds of 50 to 30 km / h by 1,065 Kbps and from 30 to 10 km / h decreases amounting to 0.658 Kbps. The average Maximum value on routing overhead is 37,311 bytes while the minimum value is 7,439 bytes, and the average speed value increases at a speed of 50 to 30 km / hour by 1,321 Bytes and from 30 to 10 km / hour decreases by 5,453 Bytes. Key words: AODV, VANET, Routing Protocols, SUMO, NS2.


Author(s):  
Prashant Rewagad ◽  
Nisha A. Lodha

Mobile Ad hoc Network is a collection of mobile nodes in which the wireless links are frequently broken down due to mobility and dynamic infrastructure. Routing is a significant issue and challenge in ad hoc networks. In Mobile ad hoc network, due to mobility of nodes network topology change frequently and thus, routing become challenging task to transfer the data from source to destination. A variety of routing protocols with varying network conditions are analyzed to find an optimized route from a source to some destination. This paper is based on performance comparison of two popular mobile ad-hoc network routing protocols using simulator i.e. DSR, ADOV. On the network simulation platform, a systematically simulation and research has been carried out on the performance of two routing protocols, and how the network environments impact on the performance of routing protocol.


2019 ◽  
Vol 8 (3) ◽  
pp. 6554-6562

Wireless Ad hoc Network is established by a collection of mobile nodes without any fixed infrastructure, where each node plays a role of the router. There are not any centralize control to handle the routing process of network, due to the dynamic tropology and infrastructure less network the network is vulnerable to various kinds of attacks. Therefore, numerous proactive, reactive and hybrid routing protocols have been recommended, among which one of the well-known a protocol is AODV due to its high-performance gain. This research work contributes towards mitigating network layer attacks on routing protocols in Wireless Ad hoc Networks. Problem and it's security issues because its consequences and existing mechanisms for detection and prevention with the context of AODV protocol is a challenge in Wireless Ad hoc Network, particularly in MANET and Sensor network. We present an AODV based secure routing algorithm for detection and prevention of different network layer attacks such as blackhole and rushing attacks. We use different types of security parameters like node sequence numbers, hop count, trust value, path value, acknowledge time, the threshold value and ALERT packet message to design a secure algorithm for AODV routing protocol. It shows enactment evaluation of AODV with the enhanced secure routing algorithm and existing routing algorithm through simulations which will confirm the effectiveness and accuracy of the algorithm by considering performance metrics like throughput, packet delivery ratio and end to end delay. Using network simulator NS-2.35 the experimental results have been shown an improvement in throughput, packet delivery ratio (PDR), and end to end delay using IDSAODV and results are compared with normal AODV routing protocol for blackhole and rushing attacks. The comparative results have been also shown with proposed IDSAODV and existing method


Author(s):  
Linna Oktaviana Sari ◽  
Agusurio Azmi ◽  
Ery Safrianti ◽  
Feranita Jalil

Pekanbaru city is a large area, therefore traffic congestion often occurs due to the density of society’s vehicles. From this problem, it is needed a technology that can exchange information between vehicles. Information Technology that can involve many vehicles with special network types without dependence on an infrastructure is Ad Hoc Network. One type of this network is Vehicular Ad Hoc Network (VANET). VANET is a new concept in enabling communication between Vehicle to Vehicle (V2V). For efficient data packet delivery, VANET requires a routing protocol. In this research, for simulated and analyzed performance is used the Dynamic Source Routing (DSR) and Temporally Ordered Routing Algorithm (TORA) protocol. NS-2 is used to simulated a moved nodes, SUMO software is used to simulated real map of SKA Mall crossroad and parameter the quality of performance routing protocol DSR can determined by End to End Delay, Packet Delivery Ratio (PDR) and Routing Overhead (RO). This simulation uses scenario 100 nodes, 150 nodes, 200 nodes and 250 nodes. The simulation results with the scenario of changing the number of nodes, the DSR routing protocol produces better performance with an average of  End to End Delay is 0.1066 s, average of PDR is 95.45% and average of RO is 1.0076. While the TORA routing protocol has an average of End to End Delay is 0.1163s, average of PDR is 93.49% and average of RO is 1.0801. And in the scenario of node speed changes, the TORA routing protocol produces better performance with an average of End to End Delay is 0.0861 s and average of PDR 97.37%. While the DSR routing protocol is better with an average of RO is 1.0076.


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