Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): a comprehensive overview

Ishmanov, Farruh; Malik, Aamir Saeed; Kim, Sung Won

doi:10.1002/ett.1466

Cited by 105 publications

(73 citation statements)

References 41 publications

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“…It is important to have sensor with low energy consumption; because the sensor node should stay alive until end on its mission [17,18]. In this paper, criterion will consider for energy consumption and if the sensor has a more energy, measuring around it will be more stable and probability of coverage gap around it will reduce.…”

Section: Energy Consumptionmentioning

confidence: 99%

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Farahani¹

2017

IJWMN

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Section: Energy Consumptionmentioning

confidence: 99%

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Farahani¹

2017

IJWMN

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“…Balancing of energy consumption may be categorized into three groups: node deployment, load balancing, and energy mapping and re-assigning [30]. Uneven clustering is one of the methods to balance the load.…”

Section: Mechanisms Of Energy Hole Avoidancementioning

confidence: 99%

Energy Efficient Clustering Techniques for Wireless Sensor Networks-A Review

Pandey¹

2017

int.jour.sci.res.mana

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Abstract-The applications of Wireless Sensor Networks (WSNs) are growing at rapid pace and providing pervasive computing environments. Energy constraints is the most critical issue in sensor applications and that needs be optimized to prolong the life of resource constrained sensor network. Clustering is an efficient technique to group the sensor nodes of entire network into number of clusters to support high scalability and provide better data aggregation by efficient utilization of limited resources of sensor nodes and that prolongs network lifetime.In this paper, some widely explored clustering algorithms in WSNs are discussed on several aspects and characteristics such as clustering timings, clustering attributes, convergence rate etc. The advantages and disadvantages of corresponding clustering algorithms are also explained with suitable examples. The paper finally concludes with discussion on the challenges of clustering in WSNs with mentioning the future research topics.

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“…As a result, the nodes closest to the BS heavily deplete their energy, creating a hole near the BS. So with the help of clustering hole problem can be reduced [17,18,19,79].…”

Section: Why Clustering In Wsns?mentioning

confidence: 99%

A Review Study on Analytical Estimation of Optimal Number of Clusters in Wireless Sensor Networks

Kumar

Dhok

Tripathi

et al. 2014

TNC

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To improve energy efficiency, total network scalability and data aggregation in Wireless Sensor Networks (WSNs), sensor nodes are often grouped into disjoint and mostly non-overlapping subsets called clusters. To provide an energy-efficient system by clustering, there are three main challenges. First is to find the optimum number of nodes in a specific cluster, second is to find the optimum number of clusters in the network and the third is to find the optimum position of Cluster Head (CH) in a specific cluster. Selecting an optimum number of clusters in WSNs provide greater improvement in terms of system scalability, energy efficiency, collision reduction, network lifetime, latency, and efficient routing backbone in the network. Selection of optimal number of clusters in WSNs is affected by level at which WSNs is modeled viz. Radio Energy Model Level, Network Model Level and Clustering Level. The objective of this paper is to present a state-of-the-art survey of distinct analytical methods used to calculate the optimum number of clusters, and its time-line comparative analysis based on network type, mathematical formula for an optimal number of clusters, base station positioning, energy model, strengths, weaknesses and applications of WSNs. We have also discussed the impact of different parameters on selecting the optimal number of clusters in WSNs.

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Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): a comprehensive overview

Cited by 105 publications

References 41 publications

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Energy Efficient Clustering Techniques for Wireless Sensor Networks-A Review

A Review Study on Analytical Estimation of Optimal Number of Clusters in Wireless Sensor Networks

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