Research of the Network Routing Optimization Based on AODV

2015 ◽  
Vol 713-715 ◽  
pp. 2308-2311
Author(s):  
Zhong Zong

In the protocol of Ad Hoc network, the AODV routing protocol is the on-demand distance vector routing protocol. Because of its low cost and simple realizing, it is the hot point of wireless ad hoc network researches. This paper researches the mechanism of the AODV routing protocol, analyses its limitations and proposes a pre-judgment based on the link quality. It avoids using the local path restoration algorithm AODV-LQP in unstable area. Before the break of the low quality link, starting the link reparation will avoid the restoration in data transportation. The simulation experiment shows that the improved algorithm reduces the average time delay of end to end, and augments the packet delivery ratio.

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):  
v. p. patil

A Mobile Ad hoc Network (MANET) is a class of wireless mobile nodes that dynamically organize themselves in arbitrary network topologies. Due to mobility of nodes, routing plays an important role in communication and routing protocols are divided into two basic classes: proactive and reactive. AODV is an on demand routing network protocol which is specially design for ad hoc networks. This protocol starts to, only when a certain node claims to send data and is an establish the route efficient ad hoc network routing protocol for data transfer. AODV suffers from the limitation of low bandwidth. In the AODV routing protocol, wherever a link breaks an error message is sent to the source indicating the link failure and further communication is stopped temporarily. This paper proposes an improved AODV routing protocol by including route repair scheme to overcome the link failure problems of its predecessor. In the proposed scheme the data packet is sent through alternate routes instead of dropping it. It is shown through simulation results that the proposed scheme improves data delivery rate.


2014 ◽  
Vol 10 (1) ◽  
pp. 14
Author(s):  
B. Anantasatya Adhi ◽  
Ruki Harwahyu ◽  
Abdusy Syarif ◽  
Harris Simaremare ◽  
R. Fitri Sari ◽  
...  

AODV routing protocol facilitates changing and simple-to-setup network environment. It helps setting up a network without sufficient infrastructure, such as in disaster area. Development of AODV protocol has gathered a worldwide research interest. However, not many researches implement AODV routing protocol in real mobile nodes and real MANET. In addition, real implementation deals with other works concerning underlying protocol, firmware and hardware configuration, as well as detailed topology both in logical and physical arrangement. This work aims to implements Ad-hoc On-demand Distant Vector – particularly University of Indonesia AODV (AODV-UI) routing protocol on low-end inexpensive generic wireless routers as a proof of concept. AODV-UI is an improved version of AODV routing protocol that implements gateway interconnection and reverse route capability. This routing protocol has been previously successfully tested in NS-2. In this work, current AODV-UI protocol is ported to OpenWRT + MIPS (Microprocessor without Interlocked Pipeline Stages) little endian architecture then tested on the real networking environment. Underlying media access layer is also altered to provide the protocol greater control over the network. Performance of this implementation is measured in terms of energy consumption, routing overhead, end-to-end delay, protocol reliability and packet delivery ratio.


Author(s):  
Sudesh Kumar ◽  
Abhishek Bansal ◽  
Ram Shringar Raw

Recently, the flying ad-hoc network (FANETs) is a popular networking technology used to create a wireless network through unmanned aerial vehicles (UAVs). In this network, the UAV nodes work as intermediate nodes that communicate with each other to transmit data packets over the network, in the absence of fixed an infrastructure. Due to high mobility degree of UAV nodes, network formation and deformation among the UAVs are very frequent. Therefore, effective routing is a more challenging issue in FANETs. This paper presents performance evaluations and comparisons of the popular topology-based routing protocol namely AODV and position-based routing protocol, namely LAR for high speed mobility as well as a verity of the density of UAV nodes in the FANETs environment through NS-2 simulator. The extensive simulation results have shown that LAR gives better performance than AODV significantly in terms of the packet delivery ratio, normalized routing overhead, end-to-end delay, and average throughput, which make it a more effective routing protocol for the highly dynamic nature of FANETs.


2017 ◽  
Vol 26 (4) ◽  
pp. 669-682
Author(s):  
A. Rama Rao ◽  
V. Valli Kumari ◽  
Ch. Satyananda Reddy

AbstractAs the actual links in mobile ad hoc networks (MANETs) are dynamic, the feasible path generated may not exist during the transmission of multimedia data. There is a need for generating multiple paths for guaranteed transmission. The multi-path finding can be achieved through a genetic-based algorithm that faces the major challenge in quality-of-service (QoS)-aware routing. To enhance the QoS communication over the MANETs, an exponential genetic algorithm (GA)-based stable and load-aware QoS routing protocol (SLAQR) is proposed in this paper. This paper chiefly focuses on the enhancement of the GA-based routing algorithm by including exponential function in the searching process and modifying the fitness function, which incorporates QoS metrics like the node’s static resource capacity, dynamic resource availability, neighborhood quality, and link quality. The originality of the proposed protocol comes from the fact that it introduces multiple parameters into the route quality computation and integrates the exponential function into the GA. For experimental validation, the simulation of the proposed method is done and the results are compared with existing protocols such as GAQR (GA-Based QoS Routing), QMRB-AODV (QoS Mobile Routing Backbone Over Ad Hoc On-Demand Distance Vector Routing), and EISGA (Ensemble of Immigrant Strategies with Genetic Algorithm). From the outcome, we conclude that the delivery ratio, throughput, and delay of our proposed SLAQR approach have improved the GAQR approach by 58%, 56%, and 97%, respectively.


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