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

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 se...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Scientific reports Ročník 15; číslo 1; s. 34815 - 24
Hlavní autoři: Chithra, R., Sarumathiy, C. K., Padma, E., Arulkumar, R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Nature Publishing Group UK 06.10.2025
Nature Publishing Group
Nature Portfolio
Témata:
639/705/117
639/705/258
Algorithms
Alternative energy
Cluster head (CH) selection
Communication
Decision making
Economic factors
Energy
Energy consumption
Energy management
Environmental impact
Green communication
Humanities and Social Sciences
Hybrid best worst method (BWM)-TOPSIS
Internet of Things
Internet of things (IoT)
Multi-strategy improved crayfish optimization algorithm (MSICOA)
multidisciplinary
Multiple criteria decision making
Multiple trusts
Nodes
Optimization algorithms
Potential energy
Science
Science (multidisciplinary)
Sensors
Trust
Trust management model
Cluster head (CH) selection
Hybrid best worst method (BWM)-TOPSIS
Green communication
Trust management model
Internet of things (IoT)
Multi-strategy improved crayfish optimization algorithm (MSICOA)
ISSN:2045-2322, 2045-2322
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-025-18774-5