Energy-efficient unequal chain length clustering for WSN

Baniata, Mohammad; Heo, Mhanwoo; Lee, Jun Young; Park, Juw Won; Hong, Jiman

doi:10.1145/3167132.3167361

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…[9] developed energy hole repelling approach where the sensor nodes placed nearby the sink develops tiny clusters while nodes placed away sink BS makes huge clusters. [10] deployed an Energy Efficient Unequal Chain Length Clustering (EEUCLC) protocol to resolve the energy hole issues by making UC inside a cluster. [11] introduced UC model to eliminate the hot spot problem, by developing tiny cluster placed closer to the sink and huge cluster are located away from the sink node.…”

Section: Literature Surveymentioning

confidence: 99%

Mitigating Energy Hole based Routing Algorithm for Wireless Sensor Networks

Amaran¹,

Mohan²,

R.³

2021

INDJCSE

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In wireless sensor networks (WSN), the energy hole problem needs to be resolved to considerably improve the network lifetime. This paper presents an efficient Mitigating Energy Hole based routing algorithm (MEHRA) for WSN. Initially, the network initialization process takes place where the entire network is partitioned into few regions and is again divided into sectors with respect to equiangular wedges. During the partitioning of the network into regions and wedges, Head Node (HN) will be chosen for all sectors regarding distance and energy. Besides, the sensor nodes in a provided sector form a chain to communicate with their HN. The construction of chain process has begun from the farther node in the HN and all nodes will choose their chain neighboring by the execution of greedy algorithm. The HN collects the data in its predecessor and its individual sector and transmits the aggregated data to its successor HN till it reaches the BS. An extensive set of experimental analysis was carried out to highlight the supremacy of the MEHRA technique. The obtained simulation outcome ensured the goodness of the MEHRA technique interms of distinct aspects.

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Section: Literature Surveymentioning

confidence: 99%

Mitigating Energy Hole based Routing Algorithm for Wireless Sensor Networks

Amaran¹,

Mohan²,

R.³

2021

INDJCSE

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“…L. Prabha et al [39] proposed an energy hole repelling algorithm by which sensor nodes closer to the BS creates smaller cluster and nodes far away from BS creates big cluster. Baniata et al [40] proposed an Energy Efficient Unequal Chain Length Clustering (EEUCLC) protocol to overcome the energy hole problem, by creating an unequal chain within a cluster. However, there is no mechanism in the network face energy hole situation because cluster members near the BS still handle huge traffic loads from the successor clusters.…”

Section: Related Workmentioning

confidence: 99%

Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach

Sharmin

Karmaker

Lambert

et al. 2020

Sensors

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The Energy hole problem, a common phenomenon in wireless sensor networks, significantly decreases the lifetime of any deployed network. Some of the popular techniques to minimize such problems are using mobile sinks instead of static sinks, extending the transmission range dynamically, and deploying redundant sensor nodes near the base station/sink. The major drawback to these techniques are that energy holes may still be created at some point due to their static nature of deployment, despite having the overall residual energy very high. In this research work, we adopt a new approach by dividing the whole network into equiangular wedges and merging a wedge with its neighboring wedge dynamically whenever individual residual energy of all member nodes of a wedge fall below a threshold value. We also propose an efficient Head Node (HN) selection scheme to reduce the transmission energy needed for forwarding data packets among Head Nodes. Simulation results show that WEMER, our proposed WEdge MERging based scheme, provides significantly higher lifetime and better energy efficiency compared to state-of-the-art Power-Efficient Gathering in Sensor Information Systems (PEGASIS) and contemporary Concentric Clustering Scheme (CCS), and Multilayer Cluster Designing Algorithm (MCDA).

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An Extended Clustering Approach for Extended Energy Aware Computing

Garg,

Patel

2023

Wireless Pers Commun

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Energy-efficient unequal chain length clustering for WSN

Cited by 4 publications

References 13 publications

Mitigating Energy Hole based Routing Algorithm for Wireless Sensor Networks

Mitigating Energy Hole based Routing Algorithm for Wireless Sensor Networks

Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach

An Extended Clustering Approach for Extended Energy Aware Computing

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