The Load Balancing of Optimizing LEACH Clustering Algorithm with Mobile Sink and Rendezvous Nodes

Kumar, Sunil; Verma, Akshay; Gautam, Prateek Raj; Dayal, Akash; Kumar, Arvind

doi:10.1109/upcon.2018.8596989

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…Some research scholar develops routing systems that leverage mobile sinks to manage network energy usage. A node can be designated as a meeting point based on the distance from the portable sink to gather data from neighboring nodes and subsequently connect with the mobile sink [17,18].…”

Section: Related Workmentioning

confidence: 99%

Wireless Network Security Using Load Balanced Mobile Sink Technique

Alkanhel¹,

Abouhawwash²,

Sangeethaa³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Section: Related Workmentioning

confidence: 99%

Wireless Network Security Using Load Balanced Mobile Sink Technique

Alkanhel¹,

Abouhawwash²,

Sangeethaa³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Some scholars proposed routing protocols which use mobile sink to balance energy consumption of network. According to distance with mobile sink or residual energy, a node may be assigned as a rendezvous point to collect data of nearby nodes and then to communicate with mobile sink [ 19 , 20 ]. Using mobile data collector and hierarchical clustering technique, Zhang et al proposed a data collection routing algorithm which assigns node with maximum density as cluster head to avoid long-distance transmission energy consumption, leading to network resources balance [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

A Cluster-Based Energy Optimization Algorithm in Wireless Sensor Networks with Mobile Sink

Wei

Bai

Zhou

et al. 2021

Sensors

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Aiming at high network energy consumption and data delay induced by mobile sink in wireless sensor networks (WSNs), this paper proposes a cluster-based energy optimization algorithm called Cluster-Based Energy Optimization with Mobile Sink (CEOMS). CEOMS algorithm constructs the energy density function of network nodes firstly and then assigns sensor nodes with higher remaining energy as cluster heads according to energy density function. Meanwhile, the directivity motion performance function of mobile sink is constructed to enhance the probability of remote sensor nodes being assigned as cluster heads. Secondly, based on Low Energy Adaptive Clustering Hierarchy Protocol (LEACH) architecture, the energy density function and the motion performance function are introduced into the cluster head selection process to avoid random assignment of cluster head. Finally, an adaptive adjustment function is designed to improve the adaptability of cluster head selection by percentage of network nodes death and the density of all surviving nodes of the entire network. The simulation results show that the proposed CEOMS algorithm improves the cluster head selection self-adaptability, extends the network life, reduces the data delay, and balances the network load.

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“…Data transmission costs more energy when the distance between the BS and the CHs is higher than the threshold distance. LEACH has been optimized to reduce energy consumption by installing MS and rendezvous nodes in the RN area [5].…”

mentioning

confidence: 99%

A Survey on Enhanced Energy Efficient Routing Protocol of WSN for Internet of Things

Suresh¹,

Prasad²

2021

JUSST

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Wireless Sensor Networks (WSNs) are a resource-constrained network class recognized as a major energy consumer. Wireless sensor technologies are used in many commercialized industrial automation processes and other real-world applications. The WSN protocol is well-suited to harsh situations where deployment is difficult or impossible, such as the battlefield, a toxic chemical plant, the cloud, fog computing, and the Internet of Things, but not in a high-temperature network infrastructure environment. WSNs have introduced various Energy-Efficient Routing Protocols based on network (NW) organization and protocols in recent years. Various WSN routing options for energy efficiency are explored in this work. The WSN Energy Efficient Routing Protocol is compared to other routing systems. We also compare and investigate better WSN routing algorithms for cloud computing, fog computing, and the Internet of Things.

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The Load Balancing of Optimizing LEACH Clustering Algorithm with Mobile Sink and Rendezvous Nodes

Cited by 9 publications

References 8 publications

Wireless Network Security Using Load Balanced Mobile Sink Technique

Wireless Network Security Using Load Balanced Mobile Sink Technique

A Cluster-Based Energy Optimization Algorithm in Wireless Sensor Networks with Mobile Sink

A Survey on Enhanced Energy Efficient Routing Protocol of WSN for Internet of Things

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