Routing Algorithms for MANET-IoT Networks: A Comprehensive Survey

Quy, Vu Khanh; Nam, Vi Hoai; Linh, Dao Manh; Ngoc, Le Anh

doi:10.1007/s11277-022-09722-x

Cited by 27 publications

(13 citation statements)

References 45 publications

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“…The performance of MANET can be improved by designing robust and energy‐efficient routing protocols that take into account the different network parameters such as QoS, energy efficiency, and dynamic topology of the nodes 12 . This section mainly surveys the different routing protocols for MANET.…”

Section: Literature Surveymentioning

confidence: 99%

“…The performance of MANET can be improved by designing robust and energy-efficient routing protocols that take into account the different network parameters such as QoS, energy efficiency, and dynamic topology of the nodes. 12 This section mainly surveys the different routing protocols for MANET. Choudhary et al 13 developed a fuzzy approach-based stable energy-efficient AODV routing (FSEE-ADOV) protocol for MANET, and this routing protocol was utilized to select the best strategy to extend the network's lifespan.…”

Section: Literature Surveymentioning

confidence: 99%

“…The existing studies [12][13][14][15] mainly focused on either the conventional wireless sensor network (WSN) or MANET network instead of integrating them into one and analyzing both the characteristics nodes at the same time. The characteristics of the MANET and WSN nodes are their mobility and residual battery capacity.…”

mentioning

confidence: 99%

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Integrating interval type‐2 fuzzy logic and modified dingo optimization for node ranking and energy efficient MANET

Mamatha

Ramakrishna

2023

Trans Emerging Tel Tech

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In mobile ad hoc networks (MANET), the mobility of the node changes dynamically, thus affecting the stability of the connection and increasing energy consumption. The heterogeneity of the MANET nodes in terms of mobility, battery capacity, and processing capabilities often complicates the routing process and results in increased energy consumption and traffic overhead. To overcome the challenges associated with diverse MANET nodes, this article presents a hybrid interval type‐2 fuzzy logic controller and modified dingo optimization (IT2FLC‐MDO) algorithm‐based optimized link‐state routing protocol. In our proposed IT2FLC‐MDO algorithm, multiple Quality of Service (QoS) parameters (node distance, lifetime, residual energy, speed, queue length, etc) are integrated into a single multicriteria node metric to improve the multipath route analysis and topology formation. In this way, the need to broadcast multiple parameters for each session is reduced thus minimizing the control overhead. The proposed routing protocol mainly aims to achieve a tradeoff between the QoS metrics and energy consumption during data transmission, addresses the QoS and energy issues associated with multipath routing, and uses a multicriteria node metric. The proposed IT2FLC‐MDO protocol takes both the energy consumption and QoS parameters into account, thus achieving a balance between the energy consumption and QoS. The cluster head primarily chooses the path with the highest link quality to ensure reliable data transmission. The proposed IT2FLC‐MDO protocol's efficiency is demonstrated using several performance measures such as packet delivery ratio, average end‐to‐end delay, and normalized control overhead. The simulation results indicate that the proposed algorithm can handle MANET uncertainty while minimizing control overhead. The results show that the proposed algorithm offers a packet delivery rate nearly equal to 96% and improves the MANET's lifetime by up to 59%.

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Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

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Integrating interval type‐2 fuzzy logic and modified dingo optimization for node ranking and energy efficient MANET

Mamatha

Ramakrishna

2023

Trans Emerging Tel Tech

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“…In addition, applications such as healthcare [9], intelligent transport systems [10], smart agriculture [11], smart cities [12], and real-time entertainment applications [13] will require the lowest delay and high throughput, which even exceed the provided capacities of the 5G [14]. Therefore, the main goals for 6G [15] may be summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

Innovative Trends in the 6G Era: A Comprehensive Survey of Architecture, Applications, Technologies, and Challenges

et al. 2023

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While the fifth-generation mobile network is being commercialized worldwide, researchers have recently started looking towards the next generation, called the 6G network. Unlike 5G and previous generations of wireless technologies designed to improve network performance for greater bandwidth, lower latency and greater reliability, 6G ecosystems is considered a platform conducive to innovations in the fields of computing, artificial intelligence, connectivity and sensors, virtualization and more. It is designed to meet the requirements of higher global coverage, greater spectral efficiency, a reduced carbon footprint, with an emphasis on sustainability, equity, trust and security through unprecedented architectural evolutions and technology. 6G will be an integrated network system that includes a traditional terrestrial mobile network, space network, and underwater network to provide ubiquitous network access. Even if there are studies on vision of 6G network that have already been published, there is still a significant amount of ground to cover. There is no decision made yet regarding anything and nothing has been ruled out. The focus of this study is to identify a complete picture of changes in architectures, technologies, and challenges that will shape the 6G network. We hope the research results will provide indications for further studies on 6G ecosystems.

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“…To enhance cost efficiency, contemporary vehicular networks employ wireless protocols for transmitting and receiving data within or beyond vehicles. Vehicular Adhoc Networks (VANET) [1] are a type of mobile network, specifically Mobile Ad Hoc Networks (MANETs), which facilitate communication both with and without the presence of infrastructure along roadways [2,3]. In this network configuration, vehicles represent constituent elements, and a prominent characteristic is the rapid mutability of its topology.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neuro‐fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs

Thiruppathy Kesavan,

Murugavalli,

Premkumar

et al. 2023

IET Communications

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Vehicular Adhoc Networks (VANET) facilitate inter‐vehicle communication using their dedicated connection infrastructure. Numerous advantages and applications exist associated with this technology, with road safety particularly noteworthy. Ensuring the transportation and security of information is crucial in the majority of networks, similar to other contexts. The security of VANETs poses a significant challenge due to the presence of various types of attacks that threaten the communication infrastructure of mobile vehicles. This research paper introduces a new security scheme known as the Soft Computing‐based Secure Protocol for VANET Environment (SC‐SPVE) method, which aims to tackle security challenges. The SC‐SPVE technique integrates an adaptive neuro‐fuzzy inference system and particle swarm optimisation to identify different attacks in VANETs efficiently. The proposed SC‐SPVE method yielded the following average outcomes: a throughput of 148.71 kilobits per second, a delay of 23.60 ms, a packet delivery ratio of 95.62%, a precision of 92.80%, an accuracy of 99.55%, a sensitivity of 98.25%, a specificity of 99.65%, and a detection time of 6.76 ms using the Network Simulator NS2.

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Routing Algorithms for MANET-IoT Networks: A Comprehensive Survey

Cited by 27 publications

References 45 publications

Integrating interval type‐2 fuzzy logic and modified dingo optimization for node ranking and energy efficient MANET

Integrating interval type‐2 fuzzy logic and modified dingo optimization for node ranking and energy efficient MANET

Innovative Trends in the 6G Era: A Comprehensive Survey of Architecture, Applications, Technologies, and Challenges

Adaptive neuro‐fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs

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