Performance Evaluation of Routing Algorithm for Manet Based on the Machine Learning Techniques

Duraipandian, M.

doi:10.36548/jtcsst.2019.1.003

Cited by 60 publications

(2 citation statements)

References 15 publications

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“…The adaptive model takes decision based on the network topology and selects the best suited method based on TTL accordingly. This mechanism is designed for future work where various routing protocols will be simulated for various network topologies and learning techniques will be trained on them [20][21][22]. The machine learning techniques will then be exploited for taking decision for selection of best routing protocol in given network scenario.…”

Section: Module 3 (Adaptive Routing Model)mentioning

confidence: 99%

Adaptive Expanding Ring Search Based Per Hop Behavior Rendition of Routing in MANETs

Durr-e-Nayab¹,

Zafar²,

Basheri³

2021

Computers, Materials &Amp; Continua

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Routing protocols in Mobile Ad Hoc Networks (MANETs) operate with Expanding Ring Search (ERS) mechanism to avoid ooding in the network while tracing step. ERS mechanism searches the network with discerning Time to Live (TTL) values described by respective routing protocol that save both energy and time. This work exploits the relation between the TTL value of a packet, traf c on a node and ERS mechanism for routing in MANETs and achieves an Adaptive ERS based Per Hop Behavior (AERSPHB) rendition of requests handling. Each search request is classi ed based on ERS attributes and then processed for routing while monitoring the node traf c. Two algorithms are designed and examined for performance under exhaustive parametric setup and employed on adaptive premises to enhance the performance of the network. The network is tested under congestion scenario that is based on buffer utilization at node level and link utilization via back-off stage of Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA). Both the link and node level congestion is handled through retransmission and rerouting the packets based on ERS parameters. The aim is to drop the packets that are exhausting the network energy whereas forward the packets nearer to the destination with priority. Extensive simulations are carried out for network scalability, node speed and network terrain size. Our results show that the proposed models attain evident performance enhancement.

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Section: Module 3 (Adaptive Routing Model)mentioning

confidence: 99%

Adaptive Expanding Ring Search Based Per Hop Behavior Rendition of Routing in MANETs

Durr-e-Nayab¹,

Zafar²,

Basheri³

2021

Computers, Materials &Amp; Continua

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“…The ratio of number of packets sent multiply by size of packets to packet received by destination and multiply by size of received packet (Science, 2019).…”

Section: Control Packet Overhead[cpo]mentioning

confidence: 99%

Asymmetric Key Cryptography based Ad-hoc on Demand Distance Vector Protocol (ACAODV)

Kumar¹

2021

JSR

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Disaster is sudden, catastrophic events which origins are natural calamities and man-made, cause greater loss, damage and destruction of life and property. Since there are several geographical areas in the globe in which natural calamities such as flood, earthquake, hurricanes, landslides, cyclones, volcanic eruptions, tsunamis, storms etc. and man-made disaster likes rescue operation, terrorist and Naxalite attacks are more common. Hence it is too expensive to establish infrastructure based cellular network because it may not provide solution to the users in the areas in which such types of calamities mostly happens. Mobile ad-hoc network (MANET) is one of the best solution in affected areas as discussed above because it is infrastructure less network and setup anywhere and anytime. MANET have some issues like lack of centralize monitoring, open standards, narrow bandwidth, mobility, storage, and variation in link hence security is much more required than the wired network. Ad-hoc On-Demand Distance Vector (AODV) routing protocol reduces control packet overhead, adaptability with dynamic changing network, low setup delay, and less memory requirement but suffer from various attacks such as impersonation, byzantine, black whole and resource consumption attack. To address the security vulnerabilities and shortcomings of previous methods, we proposed an asymmetric key cryptography-based scheme for securing the AODV (Ad hoc On-Demand Distance Vector) routing protocol in this paper.

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Sentiment Analysis for Airline Tweets Utilizing Machine Learning Techniques

Kumar

Sheshanna

Babu

2020

EAI/Springer Innovations in Communication and Computing

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Performance Evaluation of Routing Algorithm for Manet Based on the Machine Learning Techniques

Cited by 60 publications

References 15 publications

Adaptive Expanding Ring Search Based Per Hop Behavior Rendition of Routing in MANETs

Adaptive Expanding Ring Search Based Per Hop Behavior Rendition of Routing in MANETs

Asymmetric Key Cryptography based Ad-hoc on Demand Distance Vector Protocol (ACAODV)

Sentiment Analysis for Airline Tweets Utilizing Machine Learning Techniques

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