New clustering scheme for wireless sensor networks

Messai, Mohamed-Lamine

doi:10.1109/wosspa.2013.6602412

Cited by 11 publications

(10 citation statements)

References 10 publications

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“…The proposed clustering is carried out based on three objectives including reducing the distance between nodes within a cluster, reducing the distance between the cluster head (CH) candidate nodes and the sink node, and online appropriate energy distribution of the nodes in each cluster for each routing round [19]. Lamine, introduced an energy-aware clustering (EAC) algorithm in which the CHs are selected based on the remaining energy of the nodes [20]. Ducrocq et al developed the Battery-Level Aware Clustering (BLAC) algorithm, which uses a combination of energy levels and the criteria such as density and degree of the nodes in the CHs selection process [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Reducing Energy Consumption in Wireless Sensor Networks Using a Routing Protocol Based on Multi-level Clustering and Genetic Algorithm

Rezaeipanah¹,

Nazari²,

Abdollahi³

2020

IJWMT

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Section: Literature Reviewmentioning

confidence: 99%

Reducing Energy Consumption in Wireless Sensor Networks Using a Routing Protocol Based on Multi-level Clustering and Genetic Algorithm

Rezaeipanah¹,

Nazari²,

Abdollahi³

2020

IJWMT

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“…Several clustering approaches [18,19,20,21,22,23,24,25,26] have been proposed recently based on the weight-based technique. Among them, the proposed approach presented in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The approach presented in Ref. [22] selects its CHs based on the residual energy and distance to the BS. However, it only triggers the selection process once the residual energy of any current CH falls below a threshold level.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs)

Islam

Dey

Sampalli

2018

Sensors

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Wireless Sensor Networks (WSNs) have become a significant part of surveillance techniques. With unequal clustering approaches and multi-hop communication, WSNs can balance energy among the clusters and serve a wide monitoring area. Recent research has shown significant improvements in unequal clustering approaches by forming clusters prior to the selection of cluster heads. These improvements adopt different geometric fractals, such as the Sierpinski triangle, to divide the monitoring area into multiple clusters. However, performance of such approaches can be improved further by cognitive partitioning of the monitoring area instead of adopting random fractals. This paper proposes a novel clustering approach that partitions the monitoring area in a cognitive way for balancing the energy consumption. In addition, the proposed approach adopts a two-layered scrutinization process for the selection of cluster heads that ensures minimum energy consumption from the network. Furthermore, it reduces the blind spot problem that escalates once the nodes start dying. The proposed approach has been tested in terms of number of alive nodes per round, energy consumption of nodes and clusters, and distribution of alive nodes in the network. Results show a significant improvement in balancing the energy consumption among clusters and a reduction in the blind spot problem.

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“…EAC [6] has introduced two main factors distance and energy. A cluster head is selected according to rest energy of node and other nodes select their cluster head based on their cluster head.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Cluster Head Selection Mechanism with Wireless Sensor Networks for Irrigation Application

Gade¹,

Jadhav²

2018

International Journal of Innovative Research In Electrical, Ele

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A wireless sensor network is a wireless network consisting of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions. The components are selected, which is depends on agriculture application. The WSN node is used for sensing, processing and communicating. These nodes are cluster head and slave. The need of protocol is to define rules for each step and process during communication. The protocol is set of rules. The main job of protocol in our project work is to maintain the lifespan of WSN nodes. In this proposed work, arduino based WSN node system are designed and developed for experimentation. The sensor such as moisture, temperature, humidity and light are used for agriculture application. The data collected from these sensors are stored in memory and transferred to PC using RF modules. A technique based on modified LEACH protocol is used to maintain store energy in WSN nodes. This in turn, enhances the lifespan of cluster head WSN node. The sensor nodes are powered by rechargeable batteries. This system will help farmers to monitor their crop with performance parameter measured and displayed. It will enhance productivity of crops.

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New clustering scheme for wireless sensor networks

Cited by 11 publications

References 10 publications

Reducing Energy Consumption in Wireless Sensor Networks Using a Routing Protocol Based on Multi-level Clustering and Genetic Algorithm

Reducing Energy Consumption in Wireless Sensor Networks Using a Routing Protocol Based on Multi-level Clustering and Genetic Algorithm

Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs)

Dynamic Cluster Head Selection Mechanism with Wireless Sensor Networks for Irrigation Application

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