Performance Evaluation of AODV Routing Protocol in MANET using NS-3 Simulator

Ching, Tan Woei; Aman, Azana Hafizah Mohd; Azamuddin, Wan Muhd Hazwan; Attarbashi, Zainab Senan

doi:10.1109/crc50527.2021.9392519

Cited by 10 publications

(3 citation statements)

References 2 publications

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“…We will evaluate the performance of the proposed algorithm based on the network's throughput, delay, and packet delivery ratio [26,27]. These metrics will help us assess the effectiveness and efficiency of the algorithm in comparison to other approaches.…”

Section: Metricsmentioning

confidence: 99%

Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density

Li,

Bian,

2024

Sensors

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In the process of data transmission in mobile ad hoc networks, it is essential to establish optimal routes from source nodes to destination nodes. However, as network density increases, this process is often accompanied by a significant rise in network overhead. To address this issue, the ND-AODV (neighborhood density AODV) protocol has been introduced, which reduces the probability of transmitting control information in high-density node environments to mitigate network overhead. Nevertheless, this may come at the cost of reduced routing accuracy, potentially leading to unnecessary resource wastage in certain scenarios. Furthermore, ND-AODV does not comprehensively consider the location of the receiving nodes, which limits its ability to reduce network overhead effectively. To overcome these limitations, this paper introduces a novel routing approach, known as CND-AODV (common neighborhood density AODV). In comparison to ND-AODV, CND-AODV offers a more comprehensive solution to the challenges posed by high-density network environments. It intelligently processes control information based on the special positioning of the receiving nodes, thereby significantly reducing unnecessary network overhead. Through simulation experiments comparing performance metrics such as throughput, packet delivery rate, and latency, the results clearly indicate that CND-AODV substantially decreases network overhead, enhancing network performance. Compared to ND-AODV, this innovative routing approach exhibits significant advantages. It provides a more efficient and reliable solution for ad hoc networks in high-density environments.

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Section: Metricsmentioning

confidence: 99%

Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density

Li,

Bian,

2024

Sensors

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“…21 Trust-calculation can also be used to reduce this type of attack taking AODV as basis. 22,23 However, IDS is widely used due to lesser delay and complexity. The IDS in network regularly monitor the malicious nature of nodes.…”

Section: Proposed Work: the Black-hole Attack And Detectionmentioning

confidence: 99%

“…The same process is used to counter sink hole attack 21 . Trust‐calculation can also be used to reduce this type of attack taking AODV as basis 22,23 . However, IDS is widely used due to lesser delay and complexity.…”

Section: Proposed Work: the Black‐hole Attack And Detectionmentioning

confidence: 99%

Black‐hole attack and counter measure in ad hoc networks using traditional routing optimization

Pullagura

Dhulipalla

2023

Concurrency and Computation

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Summary Ad hoc networks have constraints like energy, memory, computation power, and communication range which makes the nodes vulnerable for attacks. In this article, black hole attack detection mechanism is carried out on traditional ad hoc on demand distance vector routing (AODV) protocol. Initially the proposed work proceeded with black‐hole attack configured on conventional AODV protocol. Black‐hole node will give route reply with highest sequence number to entice the sender to create a route through it. By using intruder detection system threshold mechanism, the black‐hole nodes are identified and isolated. In this article, maximal destination sequence number is estimated by using linear regression technique. Performance comparison is carried out with normal, black hole based and black hole detected routing mechanisms. The simulation findings show that that incorporated method enhances network performance by improving QoS under black hole attack.

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Simulation and Analysis of Routing Protocols Using Real-Time Data in Vehicular Ad Hoc Networks

Kaur,

Kumar,

Kaushal

2024

Smart Innovation, Systems and Technologies

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Performance Evaluation of AODV Routing Protocol in MANET using NS-3 Simulator

Cited by 10 publications

References 2 publications

Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density

Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density

Black‐hole attack and counter measure in ad hoc networks using traditional routing optimization

Simulation and Analysis of Routing Protocols Using Real-Time Data in Vehicular Ad Hoc Networks

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