Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure

Gong, Yadong; Wang, Junbo; Lai, Guoming

doi:10.1016/j.egyr.2022.08.279

Cited by 13 publications

(1 citation statement)

References 26 publications

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“…Gong et al 21 proposed a query‐driven clustering (QDC) protocol for WSN systems. The proposed QDC protocol is mostly used on fifth‐generation (5G) infrastructure, which requires a proper routing process.…”

Section: Related Workmentioning

confidence: 99%

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

Babu

Ramesh

Kannan

et al. 2023

Int J Communication

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Summary The Internet of Things (IoT) comprises sensor networks, intelligent things, devices, and humans for heterogeneous services and applications. Energy constraints in conventional wireless networks impact IoT performance resulting in service failures. For reducing the adverse impact of energy, this article introduces a commissioned energy‐efficient resource virtualization (CE2RV) scheme. This proposed scheme classifies the sensor nodes as fast and slow‐depleting for identifying service failures. The fast‐depleting nodes are discontinued from the service replications, and the remaining energy high‐node‐connected resources are identified. Such resources are virtualized for thwarting the existing energy failures over various services. The node classifications are performed using a tree‐learning algorithm. The classifications are performed for node replacement and service virtualization under different energy depletion rates. This is required for preventing sensor network disconnections between the users and service providers. The classification is required for overcoming multiple virtualizations between common nodes across different service providers. The proposed scheme's performance is analyzed using the metrics of service disconnections, energy utilization, energy efficiency, and service delay.

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Section: Related Workmentioning

confidence: 99%

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

Babu

Ramesh

Kannan

et al. 2023

Int J Communication

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Delay sensitive and energy adaptive clustering hierarchy protocol using enhanced agglomerative hierarchy algorithm with time‐controlled jellyfish optimization

Agnihotri,

Awasthi

2024

Trans Emerging Tel Tech

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Wireless sensor networks have sensing functions which made up of small sensor nodes that are processing and communication capabilities. However, the traditional approach of designating a single sensor node as the cluster head often leads to a faster depletion of its energy resources than another node. So, periodic reassignment of the cluster head role among different sensor nodes is crucial to extend operational lifetime and ensure sustained performance. Therefore, this research proposes an Enhanced Agglomerative Hierarchy Algorithm based on the Low Energy Adaptive Clustering Hierarchy (EAHALEACH) protocol, coupled with an enhanced time‐controlled optimization algorithm, to enhance energy efficiency by selecting the optimal cluster head from a candidate pool. The proposed method enhances energy efficiency by optimally selecting cluster heads, which reduces energy consumption and extends the lifespan of the network. Additionally, a lightweight energy‐aware cluster head rotation algorithm is introduced to efficiently rotate the cluster head role within the sensor node network, minimizing unnecessary data transmissions and extending the network lifetime. A hybrid approach combining Carrier Sense and Time Division Multiple Access (CSTDMA) optimizes packet forwarding by dynamically allocating time slots, reducing collisions and contention to improve packet forwarding efficiency. Comparative analysis with existing techniques demonstrates that the hybrid clustering‐based LEACH protocol achieves superior performance in terms of throughput 4600 bps by 2000 rounds, energy consumption 50 J, latency as 1 ms and network lifetime in 1000th node attains 3500 s. These advancements contribute to prolonged operational efficiency and sustained performance in wireless sensor network deployments.

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Introduce the CH Role Rotation Mechanism in the Multilayered Deterministic WSN Clustering to Achieve Long-Term Load Balancing

Dergaoui,

Baddi,

Hasbi

2023

Signals and Communication Technology

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Energy-efficient Query-Driven Clustering protocol for WSNs on 5G infrastructure

Cited by 13 publications

References 26 publications

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

Delay sensitive and energy adaptive clustering hierarchy protocol using enhanced agglomerative hierarchy algorithm with time‐controlled jellyfish optimization

Introduce the CH Role Rotation Mechanism in the Multilayered Deterministic WSN Clustering to Achieve Long-Term Load Balancing

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