Evidence map›Paper›PMID 41053345›Full record

ArticleScientific reports2025

An energy aware cluster inspired routing protocol using multi strategy improved crayfish optimization algorithm for guaranteeing green communication in IoT.

R Chithra, C K Sarumathiy, E Padma, R Arulkumar

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

R ChithraDepartment of Information Technology, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, Tamil Nadu, 637 215, India. chithra@ksrct.ac.in.
C K SarumathiyDepartment of Computer Science and Engineering, Nitte Meenakshi Institute of Technology(NMIT), Nitte (Deemed to be University), Bengaluru, 560064, India.
E PadmaDepartment of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS) Pallavaram, Chennai, Tamil Nadu, 600117, India.
R ArulkumarDepartment of Information Technology, Jeppiaar Institute of Technology, Sriperumpudur, Kanchipuram, Tamil Nadu, 631604, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internet of things (IoT) has a significant impact on environmental and economic factors for interconnecting billions or trillions of devices that utilize various types of sensors during communications using Internet. Energy is identified as the heart of smart IoT applications since it permits the sensors to carry out their operations. Even though, sensors necessitate a small amount of energy for operations, rapid energy drain when billions and trillions of them interconnect is determined to crumble their performance by influencing energy stability. Clustering is the potential energy managing green communication mechanism which when implemented using metaheuristic techniques helps in achieving required quality of service by facilitating near-optimal solutions. In this paper, mult strategy-improved crayfish optimization algorithm-based intelligent clustering mechanism (MSCFOAICM) is proposed as a solution to the NP-hard problem of achieving green communication in IoT with maximized network lifetime. This MSCFOAICM scheme used a multi-objective fitness function that considered factors of delay, energy, distance, jitter and packet forwarding potential into account such that energy potent nodes are selected as cluster heads (CHs) during the clustering process. It uses multi-strategy-improved crayfish optimization algorithm for CH selection for establishing a better trade-off between exploration and exploitation. It then used a hybrid BWM-TOPSIS multicriteria decision making model for determining nodes' trust using direct and indirect interaction to prevent selection of malicious nodes as CHs. This protocol also prevented low energy nodes to be selected as CHs depending on residual energy estimation during the trust computation process. The number of clusters built during the implementation is determined to be optimal as it aids in sustaining maximized energy and extending network lifetime. The results of MSCFOAICM scheme confirm better throughput of 18.14%, operating IoT nodes of 19.42% and reduced mean transmission delay of 18.42%, compared to the baseline schemes.

Indexed as

Cluster head (CH) selectionGreen communicationHybrid best worst method (BWM)-TOPSISInternet of things (IoT)Multi-strategy improved crayfish optimization algorithm (MSICOA)Trust management model

Identifiers

PMID41053345
PMCPMC12501390

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.