Fuzzy Approach-Based Stable Energy-Efficient AODV Routing Protocol in Mobile Ad hoc Networks

Choudhary, Shubham; Narayan, Vipul; Faiz, Mohammad; Pramanik, Sabyasachi

doi:10.1007/978-3-030-91149-2_6

Cited by 46 publications

(22 citation statements)

References 13 publications

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“…In Choudhary et al (2022) , the author presented a fuzzy logic-based AODV that considers various parameters such as residual energy of the node, the expiration time of the link, speed, hop count, and bandwidth to determine the optimal path. The trust value computed this way is used to select the next node.…”

Section: Literature Reviewmentioning

confidence: 99%

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Alameri

Komárková

Al-Hadhrami

et al. 2022

PeerJ Computer Science

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Mobile ad-hoc networks (MANETs) and wireless mesh networks (WMNs) are used in a variety of research areas, including the military, industry, healthcare, agriculture, the Internet of Things (IoT), transportation, and smart cities. The swift advancement in MANET technology is the driving force behind this rising adoption rate. Routing over MANET is a critical problem due to the dynamic nature of the link qualities, even when nodes are static. A key challenge in MANETs is the need for an efficient routing protocol that establishes a route according to certain performance metrics related to the link quality. The routing protocols utilised by the nodes in WMNs and MANETs are distinct. Nodes in both types of networks exchange data packets through the routing protocols. For this highly mobile network, the ad-hoc On-Demand Distance Vector (AODV) routing protocol has been suggested as a possible solution. Recent years have attracted researchers’ attention to AODV since it is a routing technique for ad-hoc networks that prevents looping. The architecture of this routing protocol considers several factors, including the mobility of nodes, the failure of connection links, and the loss of packets. In this systematic review, one of the key focuses is bringing attention to the classic AODV, which was developed after discussing the recent development of several versions of AODV. The AODV routing protocol performs a path strength check to generate a more reliable and secure route between the source and destination nodes. In AODV, investigations demonstrate advances in both the format protocol approach and the network simulation-2 (NS-2), and these improvements were made in the same scenario used to revitalise AODV. It has been discovered that the AODV is more effective in several aspects, such as throughput, end-to-end delay, packet delivery ratio (PDR), energy consumption, jitter, packet loss ratio, and network overhead. Furthermore, this paper presents this systematic review based on AODV modifications in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It also provides a methodological framework for the papers’ selection.

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Section: Literature Reviewmentioning

confidence: 99%

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Alameri

Komárková

Al-Hadhrami

et al. 2022

PeerJ Computer Science

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“…4 represents the input range for the date of input range on a scale of 0 to 28. The membership value, i.e., low, medium, and high, will be represented by fuzzy variable output, which will be employed in the simulation [14]. For the input parameter, the membership functions are µX(Ag), µY(Da), and µZ(Vs).…”

Section: Proposed Modelmentioning

confidence: 99%

“…Availability of slots Table4represents the input range for the date of input range on a scale of 0 to 28. The membership value, i.e., low, medium, and high, will be represented by fuzzy variable output, which will be employed in the simulation[14].…”

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confidence: 99%

multi-criteria model for vaccine slot tracker using fuzzy logic

Fatima

Tripathi

2022

ijhs

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The breakout of Covid has occurred in recent years which had a major impact worldwide. In this scenario, vaccination has proven to be highly successful. In a nation like India, vaccination of a big population is a difficult task. Individuals wait for hours for a vaccination slot, yet they are still unable to obtain one because information about the vaccination location and opening hours is unavailable. For this topic, we suggested a Vaccination Tracker algorithm that provides users with real-time information on vaccine openings, locations, available capacity, minimum age limit, Pin code and name of the organization, making vaccination registration a breeze. In this paper a model based of Multi-criteria Fuzzy technique is propose in which probability is generated to assign priority to the registered candidates. On the basis of the priority: Very High, High, Medium, Low, and Very low, the slot of the individual is informed regarding the availability of slots and slot is booked on the basis of the registration details. After successful vaccination, the countdown is started for the next dose, respectively.

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“…Choudhary et al [12] introduced a fuzzy approach-based stable energy-efficient AODV routing (FSEE-ADOV) protocol for MANET (mobile ad-hoc network) and this routing protocol was used to choose the perfect way for enhancing the lifetime of the network. The fuzzy-based method was applied to evaluate the trusted value from the performance metrics.…”

Section: Literature Surveymentioning

confidence: 99%

Integrating Interval Type-2 Fuzzy Logic and Modified Dingo optimization for Node Ranking and Energy Efficient MANET

Mamatha

Ramakrishna

2022

Preprint

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The mobile ad hoc network (MANET) network is mainly formed by interconnected wireless mobile devices with restricted residual battery power which necessitates the need for an energy-efficient design. The MANET routing protocol mainly improves the network lifetime through efficient energy utilization. To improve the network lifetime, an optimized link-state routing (OLSR) protocol is formed by integrating the Interval Type-2 Fuzzy Logic Controller and Modified Dingo optimization (MDO) (IT2FLC-MDO) algorithm. The IT2FLC-MDO algorithm designed for the OLSR protocol formulates the routing issue as an optimization problem. The heterogeneous nature of the mobile nodes also affects the efficiency of the routing scheme. The energy-aware Quality of Service (EQoS) features are incorporated by the IT2FLC-MDO algorithm to enhance the OLSR protocol efficiency. The different EQoS features are the node speed, queue length, distance, lifetime, remaining battery capacity, etc. A multicriteria node Rank Metric (MCNR) is computed for the EQoS features to minimize the overhead complexity associated with broadcasting different EQoS features separately. The experiments are conducted using the ns2 simulator via different performance metrics such as end-to-end delay, packet delivery ratio, normalized control overhead, energy computation, and message success rate. The simulation results show that the proposed IT2FLC-MDO protocol improves the MANETS lifetime and also the consistency in data delivery.

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Fuzzy Approach-Based Stable Energy-Efficient AODV Routing Protocol in Mobile Ad hoc Networks

Cited by 46 publications

References 13 publications

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

multi-criteria model for vaccine slot tracker using fuzzy logic

Integrating Interval Type-2 Fuzzy Logic and Modified Dingo optimization for Node Ranking and Energy Efficient MANET

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