Performance Comparison of Proactive and Reactive Routing Protocol in Mobile Ad Hoc Network

Susanto, Bekti Maryuni; Hariyanto, Agus; Surateno, Surateno

doi:10.12720/jcm.13.5.218-224

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…Watchdog and Pathrater It is a kind of intruder detection system it checks all the nodes behaviour by monitoring the packets forwarding, any nodes fails to forward the packet to the next hope a certain threshold is maintain which exist the threshold limit then the watchdog intimate to the sender about the malicious nodes activities, also the pathrater will support the sender to avoid malicious node route path is selected for transmission. CONFIDANT protocol has four modules called the Monitor, the Reputation System, the Path Manager, and the Trust Manager proposed by, all the nodes continuously monitoring the first hope neighbour with functions of neighbour node surveillance, node ranking, path evaluation, and sending and receiving alarm messages [17][18][19][20][21]. Any misbehaviours find on the function the nodes alarms to the trust manager about the malicious nodes.…”

Section: Packet Dropping Due To Internal Factorsmentioning

confidence: 99%

Finding Packet Dropper and Collecting Missing Packet due to Packet Dropping Attackers in Mobile Adhoc Network Using Divide and Conquer Algorithm

2024

Int J Med Net

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Objective: Finding the Packet dropping attacker and collecting the missing packet in the MANET is one of the challenging task since the characteristics of the MANET node mobility. Packet Transmission from the source node to the Destination node is done after sending the Route Request and Route Reply, reliable path chosen based on the protocol selection in Mobile Adhoc Network which is self-organized running without any basic infrastructure. Data which is going to send by the sender is divided in to the packet and put sequence numbering on the packet finally transmitted on the medium. Each and every packet get travelled on the assigned path to reach to the destination. If any packet missed on the transmission the source node has to retransmit to the destination. while forwarding the packet from one hop to another the packet dropper attacks are play dropping the packets. Methods: There are several methods were proposed for elaborating the packet dropping attacks and solution for finding the attackers in the MANET, but none of the methods proposed for collecting the missed packet instead of getting retransmission. Divide and conquer method between the route to destination path applied to finding the packet dropper attacker and collecting the missing packet from the previous node. Findings: The proposed method could be implement using network simulator and performance result could be better than existing packet dropper attacker work. Novelty: This proposed article shows packet dropper attackers in the MANET and collecting the missing packet by using the divide and conquer algorithm in the source to destination path route.

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Section: Packet Dropping Due To Internal Factorsmentioning

confidence: 99%

Finding Packet Dropper and Collecting Missing Packet due to Packet Dropping Attackers in Mobile Adhoc Network Using Divide and Conquer Algorithm

2024

Int J Med Net

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“…Mobile Ad-Hoc Network (MANET) adalah sebuah jaringan ad-hoc yang terdiri dari sekumpulan perangkat yang bergerak yang tidak memiliki router tetap. Perangkat didalam MANET disebut sebagai node dimana tiap node dapat melakukan fungsi sebagai router dengan fungsi meneruskan jalur komunikasi antar node dan menangani rute ke setiap node dalam jaringan [1]. Teknologi MANET dapat diimplementasikan pada area seperti bencana, kemiliteran, dan lainnya.…”

Section: Pendahuluanunclassified

Implementasi Mobile Ad-Hoc Network Pada Daerah Pasca Bencana Dengan Protokol DSR

et al. 2022

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Indonesia is one of the countries that has a very large potential for disaster. If a disaster occurs then all activities will stop because the infrastructure is damaged. One of the example is digital payment activitiy. It will stop because there are failure because the existing system is loss. The proposed research is to conduct modeling using cellular ad hoc networks (MANET). An Ad-Hoc network is a standalone configuration for configuring the network infrastructure of devices that can self-configure wirelessly connected devices. In its development, Mobile ad hoc networks can be used in many ways. One of the example is in disaster management. In this study, we recommend restructuring the network by using a mobile ad hoc network to replace network infrastructure damaged by disasters. We are trying to design a replacement network infrastructure to replace the damaged network infrastructure so that payment transactions can be carried out continuously until the restoration of the new network infrastructure can be built. The protocol used in this study is the DSR (Dynamic Source Routing) protocol, this protocol has the advantage of finding routes when there is damage to the links between nodes. From the simulation results using NS-2, by increasing the number of nodes in the simulation area, it shows that there is a decrease in packet loss to 0%. There is an increase in delivery success of almost 98% when the number of nodes is increased. And there is a decrease in delay with the addition of the number of nodes

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“…End to end delay adalah ratarata waktu yang dibutuhkan oleh paket data untuk tiba ditempat tujuan yang mana mencakup keterlambatan yang disebabkan oleh penemuan rute dan antrian transmisi paket data [10]. Dimana dalam parameter ini menggunakan rumus :…”

Section: Gambar 1 Alur Rancangan Penelitian Keteranganunclassified

“…Particel swarm optimization Particle Swarm Optimization adalah teknik optimasi dengan cara menghitung secara terus menerus calon solusi dengan menggunakan suatu acuan kualitas. Algoritma ini mengoptimasi permasalahan dengan cara menggerakan partikel / calon solusi di dalam ruang permasalahan menggunakan fungsi tertentu untuk posisi dan kecepatan dari partikel [10].…”

Section: End To End Delay = Receive Time -Sent Timeunclassified

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Optimasisasi Mobile Ad-Hoc Network dengan Algoritma Particle Swarm Optimization

Segara¹,

Wijayanto²

2021

mib

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In this digital era the development of technology occurs an evolution in media technology, let's call it new media or people also often call it online media or people are more familiarly called it the internet, this media is certainly familiar to the ears. The delivery of data for communication can be hampered because of the lack of satellites caused by the weather or because of damage to the satellites and delays in the delivery of data that may result in late entry of information. Therefore we want to implement mobile ad-hoc network (manet) and evaluate the results of the manet method by knowing the results of end to end delay and packet delivery ratio Normalized routing load to know the existing. The research method uses simulation method and evaluation of routing model using Network Simulator. Evaluation is prioritized on the use of existing calculated parameters to test the AOMDV protocol and then we use the PSO algorithm to be able to optimize the value of existing calculated parameters. In this study has been done by using 2 scenarios with each scenario has a number of nodes namely 30 and 50 ago with an area of 1000m x 1000m and also data delivery speed of 200/kbps and speed of 200 in each scenario. After doing the simulation and looking at the existing comparison values, we came to a conclusion about the results of the parameter trial above obtained the average value of PDR on nodes 50 95.1 and nodes 30 81.5%, NRL values on nodes 50 51.4% and nodes 30 12.7%. While in optimization value with PSO each parameter occurs in a significant increase in PDR and NRL parameter value while for Avaerage delay value there is a decrease in each simulation value.

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Performance Comparison of Proactive and Reactive Routing Protocol in Mobile Ad Hoc Network

Cited by 6 publications

References 5 publications

Finding Packet Dropper and Collecting Missing Packet due to Packet Dropping Attackers in Mobile Adhoc Network Using Divide and Conquer Algorithm

Finding Packet Dropper and Collecting Missing Packet due to Packet Dropping Attackers in Mobile Adhoc Network Using Divide and Conquer Algorithm

Implementasi Mobile Ad-Hoc Network Pada Daerah Pasca Bencana Dengan Protokol DSR

Optimasisasi Mobile Ad-Hoc Network dengan Algoritma Particle Swarm Optimization

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