Trusted energy aware cluster based routing using fuzzy logic for WSN in IoT

Rajeswari, A.; Kanagasabai, Kulothungan; Ganapathy, Sannasi; Kannan, A.

doi:10.3233/jifs-201633

Cited by 33 publications

(13 citation statements)

References 28 publications

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“…Secondly, the fuzzy inference system is earned under the two situations, namely, selection of optimal cluster leader (CL) and cluster formation process by considering the following three parameters such as (i) node's residual energy level, (ii) cluster density, and (iii) distance node BS. Experimental results show that the proposed algorithm performs better in terms of power conservation, network stability, and lifetime than the existing one [16].…”

Section: Literature Surveymentioning

confidence: 97%

A Multineuron-Based Routing Algorithm of Tile-Based 2-D Mesh

Faujdar

Punhani

Agarwal

et al. 2022

Wireless Communications and Mobile Computing

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Tile-based architecture is broadly utilized in the structuring of the system-on-chip by different vendors. Nevertheless, the performance of the system-on-chip (SoC) is incredibly influenced by the performance of the network hidden on a chip named network-on-chip (NoC). Routing of network-on-chip network chips plays a crucial role in the overall performance of the NoC. In this paper, we have proposed a routing algorithm that utilizes the neural network to perform the routing. This routing algorithm updates the route dependent on the port execution of the switch. From the outcome, the execution of the directing has worked successfully and has the option to deal with the enormous burden viably. The result obtained shows that the performance metric for the uniform traffic is slightly better in comparison to XY routing at the higher loads of 80%. In the case of neighbor traffic, bit complement traffic, and tornado traffic, these values are higher on 80% of the load. The reason for better handling of the loads is due to the parallelization due to the pipeline created by the neural network routing decision.

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Section: Literature Surveymentioning

confidence: 97%

A Multineuron-Based Routing Algorithm of Tile-Based 2-D Mesh

Faujdar

Punhani

Agarwal

et al. 2022

Wireless Communications and Mobile Computing

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“…In [16], a new secure energy aware cluster-based routing technique termed as Trusted Energy Efficient Fuzzy logic related clustering Algorithm (TEEFCA) was presented. This scheme comprises of 2 main objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

Improved African Buffalo Optimization-Based Energy Efficient Clustering Wireless Sensor Networks using Metaheuristic Routing Technique

Barnwal

Prakash

Yadav

2023

Wireless Pers Commun

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Wireless sensor network (WSN) plays a crucial role in the Internet of Things (IoT), which assist to produce seamless information that have a great impact on the network lifetime. Despite the substantial application of the WSN numerous challenges like energy, load balancing, security, and storage exist. Energy efficacy is regarded as an integral part of the design of WSN; this can be achieved by clustering and multi-hop routing technique using metaheuristic optimization algorithm. This paper concentrates on design of metaheuristics cluster-based routing technique for energy-efficient WSN (MHCRT-EEWSN). The presented MHCRT-EEWSN technique mainly concentrates on the improvements of energy efficiency and lifespan of the WSN via clustering and routing process. For effectual clustering process, the MHCRT-EEWSN model utilizes whale moth flame optimization (WMFO) technique can be utilized by the use of fitness function involving intra-cluster distance, inter-cluster distance, energy, and balancing factor. Besides, the MHCRT-EEWSN model employs improved African buffalo optimization (IABO) based routing technique. To select optimal routes in WSN, the IABO algorithm designs a fitness function comprising multiple parameters like residual energy and distance factor. The experimental validation of the MHCRT-EEWSN model can be tested by making use of a series of simulations. A wide-ranging comparative study shows the promising performances of the MHCRT-EEWSN model than other recent methods.

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“…After this step, in the cluster formation process, non‐cluster head nodes employed fuzzy logic (FF2), with secondary factors such as membership number and distance to CH for an adequate selection of their CHs. Rajeswari et al 97 proposed a new cluster‐based routing algorithm to improve security and energy consumption in IoS. The trustworthy nodes, which might be used as a candidate for cluster‐based routing, are identified.…”

Section: Solutionsmentioning

confidence: 99%

Machine learning‐based clustering protocols for Internet of Things networks: An overview

Merah

Aliouat

Harbi

et al. 2023

Int J Communication

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Summary The Internet of Things (IoT) continues to expand the current Internet, opening the door to a wide range of novel applications. The increasing volume of the IoT requires effective strategies to overcome its challenges. Machine Learning (ML) has led to a growing technology that enables computers to solve problems without the need for knowledge of their intricate details. Over the past years, various ML techniques have been used to efficiently manage IoT networks. Clustering is a technique that has proven its performance in the networking domain. Many works in the literature have studied ML‐based clustering methods for IoT networks, including their main properties, characteristics, underlying technologies, and open issues. In this paper, we focus on topology‐centered ML‐based clustering protocols for IoT networks. Specifically, we investigate the potential benefits of adopting the clustering approach to address several IoT challenges. Moreover, we provide a comprehensive taxonomy of ML‐based clustering algorithms for IoT networks. Finally, we statistically analyze the incorporation of ML techniques for clustering in various IoT systems and highlight the related open issues.

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Trusted energy aware cluster based routing using fuzzy logic for WSN in IoT

Cited by 33 publications

References 28 publications

A Multineuron-Based Routing Algorithm of Tile-Based 2-D Mesh

A Multineuron-Based Routing Algorithm of Tile-Based 2-D Mesh

Improved African Buffalo Optimization-Based Energy Efficient Clustering Wireless Sensor Networks using Metaheuristic Routing Technique

Machine learning‐based clustering protocols for Internet of Things networks: An overview

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