LF Distribution and Equilibrium Optimizer Based Fuzzy Logic for Multipath Routing in MANET

Hemalatha, R.; Umamaheswari, R.; Jothi, S.

doi:10.1007/s11277-021-08537-6

Cited by 14 publications

(8 citation statements)

References 30 publications

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“…The GALAR was created on the basis of a genetic optimization system which considers each participating factor in the delivery behaviour with criterion function optimization. In Hemalatha et al [10], the optimal loop free route is developed using EO by FL approach and it guarantees increasing continuity. Firstly, in route exploration stage the EO approach using FL algorithm is utilized for establishing the optimum routing for transmitting the packets.…”

Section: Related Workmentioning

confidence: 99%

Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

Naqvi¹,

Iqbal²,

Ashraf³

et al. 2022

Computers, Materials &Amp; Continua

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A mobile ad hoc network (MANET) involves a group of wireless mobile nodes which create an impermanent network with no central authority and infrastructure. The nodes in the MANET are highly mobile and it results in adequate network topology, link loss, and increase the re-initialization of the route discovery process. Route planning in MANET is a multi-hop communication process due to the restricted transmission range of the nodes. Location aided routing (LAR) is one of the effective routing protocols in MANET which suffers from the issue of high energy consumption. Though few research works have focused on resolving energy consumption problem in LAR, energy efficiency still remains a major design issue. In this aspect, this study introduces an energy aware metaheuristic optimization with LAR (EAMO-LAR) protocol for MANETs. The EAMO-LAR protocol makes use of manta ray foraging optimization algorithm (MRFO) to help the searching process for the individual solution to be passed to the LAR protocol. The fitness value of the created solutions is determined next to pass the solutions to the objective function. The MRFO algorithm is incorporated into the LAR protocol in the EAMO-LAR protocol to reduce the desired energy utilization. To ensure the improved routing efficiency of the proposed EAMO-LAR protocol, a series of simulations take place. The resultant experimental values pointed out the supreme outcome of the EAMO-LAR protocol over the recently compared methods. The resultant values demonstrated that the EAMO-LAR protocol has accomplished effectual results over the other existing techniques.

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Section: Related Workmentioning

confidence: 99%

Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

Naqvi¹,

Iqbal²,

Ashraf³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

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“…Collaborative Security Detection Method (CSD), a framework for game theoretical analysis, was introduced in [6] using the consensus protocol. An iteration-based measurement method was created in [7] to reach Nash equilibrium after uniqueness analysis. By establishing secured virtual zones, a reliable identification and authentication method was created in [8].…”

Section: The Contribution Of This Research Are As Followsmentioning

confidence: 99%

Multipath Routing in Cloud Computing using Fuzzy based Multi-Objective Optimization System in Autonomous Networks

Pathak

Angurala

2022

ijfrcsce

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Intelligent houses and buildings, autonomous automobiles, drones, robots, and other items that are successfully incorporated into daily life are examples of autonomous systems and the Internet of Things (IoT) that have advanced as research areas. Secured data transfer in untrusted cloud applications has been one of the most significant requirements in the cloud in recent times. In order to safeguard user data from unauthorised users, encrypted data is stored on cloud servers. Existing techniques offer either security or efficiency for data transformation. They fail to retain complete security while undergoing significant changes. This research proposes novel technique in multipath routing based energy optimization of autonomous networks. The main goal of this research is to enhance the secure data transmission in cloud computing with network energy optimization. The secure data transmission is carried out using multi-authentication attribute based encryption with multipath routing protocol. Then the network energy has been optimized using multi-objective fuzzy based reinforcement learning. The experimental analysis has been carried out based on secure data transmission and energy optimization of the network. The parameters analysed in terms of scalability of 79%, QoS of 75%, encryption time of 42%, latency of 96%, energy efficiency of 98%, end-end delay of 45%.

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“…The combination of Reactive and Proactive Routing Protocols is classified as Hybrid Routing Protocols. 9,10 Because of the need for QoS support, multipath routing systems have advanced during the preceding 10 years. 11 That is, a multipath routing protocol could evaluate node capabilities in different directions and select the optimum path to transmit data while considering node resources sufficient for facilitating QoS, such as bandwidth consumption, battery level, inefficient queue duration, and so forth.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Mobile Ad Hoc Network cluster based routing: Energy prediction via improved deep learning technique

Murugan,

Unhelkar

2024

Int J Communication

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SummaryMobile Ad Hoc Network (MANETs) are indeed autonomous, fast‐deployable wireless networks that are ideal for communications in areas with limited radio infrastructure, outdoor events, military operations, and disaster relief. But the primary problem is with routing because of the nodes' mobility. This paper proposes a cluster‐based routing under energy prediction via deep learning techniques. Here, proposes a new model termed as Concatenation of Convolutional with Max‐Avg Pooling layer in Deep Convolutional Neural Network (CCMAP‐DCNN) for energy prediction, in which additional layers are inserted into the extant DCNN structure to ensure the effectiveness of energy prediction. As a result, clusters are created by grouping the nodes together. Constraints like energy, trust, distance, and latency are taken into account while choosing the cluster leader. For cluster head selection and optimal routing, proposes a new hybrid Namib Beetle Upgraded Jellyfish Search Optimization (NBUJSO) algorithm that utilizes the NBO strategy to the JSO algorithm making the selection process more optimal. The best route is then chosen by the optimum routing method, which takes into account variables like network quality and mobility to send data packets from source to destination as efficiently as possible. Finally, the data aggregation process is followed for eliminating the redundant transmission.

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LF Distribution and Equilibrium Optimizer Based Fuzzy Logic for Multipath Routing in MANET

Cited by 14 publications

References 30 publications

Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

Multipath Routing in Cloud Computing using Fuzzy based Multi-Objective Optimization System in Autonomous Networks

Optimizing Mobile Ad Hoc Network cluster based routing: Energy prediction via improved deep learning technique

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