Mobile Ad-Hoc Network (MANET) Routing Protocols: A Performance Assessment

Saudi, Nur Amirah Mohd; Arshad, Mohd Ramlan Mohd; Buja, Alya Geogiana; Fadzil, Ahmad Firdaus Ahmad; Saidi, Raihana Md

doi:10.1007/978-981-13-7279-7_7

Cited by 43 publications

(32 citation statements)

References 4 publications

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“…Routing Protocol berfungsi untuk menentukan cara router berkomunikasi satu sama lain, mendistribusikan informasi yang memungkinkan setiap node untuk memilih rute jalur komunikasi pada suatu jaringan. Terdapat berbagai jenis protocol routing pada MANET dan yang saat ini sudah stabil dan sering digunakan dalam pengembangan penelitian adalah AODV, DSDV, OLSR, OLSR, dan DSR [10,11,12,13,14]. Gambar 3 Berikut adalah jenis Routing Protocols yang digunakan pada Ad Hoc Networks.…”

Section: Routing Protocolunclassified

Potensi Penggunaan Mobile Ad-Hoc Network (Manet) Sebagai Alat Komunikasi Data Pada Transportasi Di Indonesia

2020

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Ad Hoc Network adalah jaringan wireless yang terdiri dari kumpulan node bersifat dinamik yang dapat saling berkomunikasi. Node tidak hanya berfungsi sebagai pengirim dan penerima informasi data tetapi juga berfungsi sebagai jalur jaringan tempat informasi data yang terkirim. Mobile Ad Hoc Network (MANET) adalah kumpulan dari beberapa wireless node yang dapat diatur secara dinamis di lokasi manapun dan tidak terbatas waktu tanpa menggunakan infrastruktur jaringan yang ada. MANET tidak memerlukan pusat administrasi dan infrastruktur kabel. MANET pada mobile host yang terhubung dengan wireless dapat bergerak bebas dan juga berperan sebagai router. Makalah ini memberikan wawasan tentang karakteristik MANET, aplikasi potensi dalam memanfaatkan teknologi MANET sebagai Alat Komunikasi Data Transportasi di Indonesia.

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Section: Routing Protocolunclassified

Potensi Penggunaan Mobile Ad-Hoc Network (Manet) Sebagai Alat Komunikasi Data Pada Transportasi Di Indonesia

2020

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“…Saudi et al [1] have proposed a protected on-request specially appointed routing convention dependent on DSR that forestalls attacks utilizing the symmetric cryptography. To influence the objective of the authenticity of each field in a route request, the initiator essentially incorporates a message verification code.…”

Section: Literature Surveymentioning

confidence: 99%

“…MANETs are made out of self-sorted remote gadgets that participate to control the system and forward one another messages [1]. The arrangement of secure routing to these systems faces explicit vulnerabilities because of the absence of fixed framework and the non-dependable clients that need to utilize the system [2].…”

Section: Introductionmentioning

confidence: 99%

Secure Data Transfer in Manet with Key Calculator and Key Distributer Using Cryptography Methods

Alapati¹,

Ravichandran²

2020

IJSSE

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A Mobile Ad Hoc Network (MANET) is combined with number of versatile nodes that can communicate with one another without having any predefined foundation. These versatile nodes in the MANET go about as routers to transfer the information from source to destination. Since there is an expansion in number of portable clients and its applications, the versatile nodes security assumes a significant job in it. Even there are many methods for providing security to MANET, there are still several attacks causing in MANET. Secure data transfer in MANET can be achieved by introducing strong cryptographic methods and key exchange techniques. The reason for key generation and key maintenance is to give secure techniques for avoiding malicious activities in the MANET and to increase system performance. In this paper a strong cryptographic method is proposed, which generates and maintains keys and distribute keys safely to trusted nodes avoiding malicious nodes. The proposed method detects the malicious nodes and avoids them to participate in communication to improve packet delivery rate and to reduce delay in the network. The proposed method considers a node as a MANET Key Calculator (MKC) which generates keys and selects another node as MANET Key Distributer (MKD) for providing secure data transfer in MANET by applying cryptography methods. The proposed method is compared with traditional methods and the results show that the proposed method is exhibiting better performance.

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“…Researchers are more interested in playing with the ad hoc environment to optimize the network based on routing parameters. Mobile ad hoc networks (MANETs) has also gained great attention due to its highly dynamic nature where the network comprises of nodes that carry out the communication without any fixed infrastructure through vibrant ways and performing as source nodes, destination nodes or even as intermediate nodes depending upon the requirement of the network [4]. The connectivity is managed through hops by hops communication without any base station due to restricted transmission range of the wireless edges.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Scenarios for Routing in MANETs Based on Expanding Ring Search and Random Early Detection Parameters Using Machine Learning Techniques

2021

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Routing protocols in Mobile Ad Hoc Networks (MANETs) play a pivotal role in ensuring quality of service (QoS) and improving network performance. Selection of optimal routing protocol and suitable parameters for a given network scenario is a major task that ultimately affects the behavior of network. This work exploits machine learning (ML) techniques for the selection of adequate routing parameters and protocol by regression of parameters in given network scenario to ensure optimal performance. The network is trained based on parametric setup of expanding ring search mechanism (ERS) and random early detection (RED) technique to estimate network throughput, end to end (E2E) delay and packets delivery ratio (PDR) and is tested via wide-ranging simulations in varying network topologies. Both RED and ERS mechanisms are aimed to control link and node level congestion in the reactive routing protocols and our aim is to select the best suited parameters for given network topologies based on ERS and RED parametric setups and improve performance for ensuring QoS. ML algorithms are trained and tested for their performance in varying network topologies. We have exploited these models with best performance for ERS and RED based routing in given topological arrangements. The performance of the ML algorithms is evaluated on the basis of root mean squared error (RMSE) and mean absolute error (MAE) for regression settings. Prediction models with up to par RMSE and MAE out-turns are attained and exploited for selection of suitable ERS and RED parameters and routing protocols in order to ensure the QoS for given network scenario. Variants of standard routing protocols are devised based on their performance and the ML techniques are exploited for prediction of QoS parameters to decide on the optimal variant that attains significant improvement in performance. Results are shown to confirm that considerable improvement in QoS is attained. INDEX TERMS Ad hoc multi hop wireless networks, congestion control, expanding ring search, machine learning, mobile ad hoc networks, on demand routing protocols, random early detection, regression, quality of service.

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Mobile Ad-Hoc Network (MANET) Routing Protocols: A Performance Assessment

Cited by 43 publications

References 4 publications

Potensi Penggunaan Mobile Ad-Hoc Network (Manet) Sebagai Alat Komunikasi Data Pada Transportasi Di Indonesia

Potensi Penggunaan Mobile Ad-Hoc Network (Manet) Sebagai Alat Komunikasi Data Pada Transportasi Di Indonesia

Secure Data Transfer in Manet with Key Calculator and Key Distributer Using Cryptography Methods

Prediction of Scenarios for Routing in MANETs Based on Expanding Ring Search and Random Early Detection Parameters Using Machine Learning Techniques

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