A Clustering Mechanism for Energy Efficiency in the Bottleneck Zone of Wireless Sensor Networks

Adhikary, Dibya Ranjan Das; Tripathy, Swagatika; Mallick, Dheeresh K.; Azad, Chandrashekhar

doi:10.1007/978-981-15-5971-6_76

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…By using the cluster head excess energy this algorithm improves the network lifespan. [19] Routing table is placed at cluster head for perfect routing. Host may damage cluster head data when secure transmission of data takes place.…”

Section: Metaheuristic Methodsmentioning

confidence: 99%

Metaheuristics Techniques for Cluster Head Selection in WSN: A Survey

Preethi R

2023

IJRITCC

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In recent years, Wireless sensor communication is growing expeditiously on the capability to gather information, communicate and transmit data effectively. Clustering is the main objective of improving the network lifespan in Wireless sensor network. It includes selecting the cluster head for each cluster in addition to grouping the nodes into clusters. The cluster head gathers data from the normal nodes in the cluster, and the gathered information is then transmitted to the base station. However, there are many reasons in effect opposing unsteady cluster head selection and dead nodes. The technique for selecting a cluster head takes into factors to consider including residual energy, neighbors’ nodes, and the distance between the base station to the regular nodes. In this study, we thoroughly investigated by number of methods of selecting a cluster head and constructing a cluster. Additionally, a quick performance assessment of the techniques' performance is given together with the methods' criteria, advantages, and future directions.

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Section: Metaheuristic Methodsmentioning

confidence: 99%

Metaheuristics Techniques for Cluster Head Selection in WSN: A Survey

Preethi R

2023

IJRITCC

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“…The major objective is choosing the smallest number of actors or the smallest overlap between their respective positions. In (Adhikary et al, 2021), the clustering scheme achieves load distribution and ensures energy efficient route discovery, but this proposal does not consider data aggregation mechanism. The preceding study shows that the choice of cluster heads is a crucial issue in hierarchical cluster routing.…”

Section: Related Workmentioning

confidence: 99%

“…The performance of our proposed framework is analyzed using MATLAB 2018a over a 64bit Windows 10 operating system. The simulation compares the performance to prominent WSN state-of-the-art routing protocols as; LEACH (Heinzelman et al, 2000), EELEACH (Arumugam et al, 2015), OQoSCMRP (Deepa et al, 2020), CDAS (Devi et al, 2020), DHSSRP (Adil et al, 2021), CMEEBZ (Adhikary et al, 2021) The following QoS metrics as, the energy requirement of cluster formation, throughput, packet delivery ratio, end-to-end latency, network lifetime, etc., have been identified to measure the network performance of the proposed framework that helps to attain the QoS. 𝐿 𝑝 where 𝑃 𝑠 is the total number of messages successfully received at the destination.…”

Section: Comparative Performance Analysismentioning

confidence: 99%

QoS based congestion evasion clustering framework of wireless sensor networks

Saha¹,

Chaki²

2022

KJS publishes peer-review articles in Mathematics, Computer Sci

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Congestion is a significant issue for event-based applications due to the continuous data collection and transmission by the sensors constituting the network. The congestion control technique monitors the process of adjusting the data and intends to manage the network traffic level to the threshold value. The information gathered from an intensive study is required to strengthen the knowledge base for devising a QoS based congestion evasion clustering framework of wireless sensor networks. In this scheme, the cluster heads are optimally determined and dispersed over the network. The data aggregation approach has been applied in a clustered network and set out a crucial paradigm for WSN routing. The proposal employs to mitigate congestion while messages are being forwarded via an alternate route to distribute the traffic and increase the throughput. This technique aims to balance the energy ingestion among the sensor nodes, reduce energy consumption, improve network lifetime, and achieve the quality of services. The result analysis revealed that the proposed scheme recommends 22.5% better throughput, 21% lesser end-to-end delay, 25.5% better delivery ratio, and efficiently relieves congestion while preserving the network's performance for attaining QoS in wireless sensor networks.

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Enhanced Fuzzy Logic Zone Stable Election Protocol for Cluster Head Election (E-FLZSEPFCH) and Multipath Routing in wireless sensor networks

Ali

Masud

et al. 2024

Ain Shams Engineering Journal

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A Clustering Mechanism for Energy Efficiency in the Bottleneck Zone of Wireless Sensor Networks

Cited by 3 publications

References 21 publications

Metaheuristics Techniques for Cluster Head Selection in WSN: A Survey

Metaheuristics Techniques for Cluster Head Selection in WSN: A Survey

QoS based congestion evasion clustering framework of wireless sensor networks

Enhanced Fuzzy Logic Zone Stable Election Protocol for Cluster Head Election (E-FLZSEPFCH) and Multipath Routing in wireless sensor networks

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