An Energy Efficient and Density control Clustering Algorithm for Wireless Sensor Network

Meddah, Meriem; Haddad, Rim; Ezzedine, Tahar

doi:10.1109/iwcmc.2017.7986313

Cited by 12 publications

(4 citation statements)

References 8 publications

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“…As a result, their energy will reduce sensor and ne twork lifetime decreases. T.Meddah et al [6] developed an algorithm called Energy Efficient and Density Control clustering (EEDCA).Where seek to select the finest node in the network to be cluster heads. Next step, it groups the network into clusters.…”

Section: Related Workmentioning

confidence: 99%

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An energy efficient based hybrid clustering (EEBHC) approaches in wireless sensor network

Vivekanandhan¹,

Sundaram²

2018

IJET

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Recently, much amount of research work has been carried out to improve the network lifespan in the Wireless Sensor Network (WSN) using Energy consumption process. In our proposed hierarchical based Hybrid clustering approaches has been designed, so as to limit the network traffic towards the Base Station. It reduced energy in the primary role of data transmission, reception, sensing and aggregation. To collect the data in the surrounding information based on hybrid clustering techniques. In this techniques are combination of equal and unequal Clustering. Even though equal and unequal clustering method is used to enable the routing of data to minimizes the power consumption in the WSN. The hybrid clustering techniques are used the Cluster Head (CH) selection process depending on higher energy level and routing efficiency of the network. The proposed works NS2 simulator is utilize the data from the source to destination in efficient way of using EEBHC algorithm to minimize the energy consumption, reduced traffic occurrences, avoid packet losses and extends the lifetime of network.

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Section: Related Workmentioning

confidence: 99%

“…So that the cluster head has more responsibilities compared to the cluster member since it is selected for each cluster [5]. Sensor network clustering and election of cluster head, whether it is distributed, hybrid (or) decentralized can be independent of clustering algorithm [6].…”

Section: Introductionmentioning

confidence: 99%

An energy efficient based hybrid clustering (EEBHC) approaches in wireless sensor network

Vivekanandhan¹,

Sundaram²

2018

IJET

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“…The way that sensor nodes forward data to the BS differs from an algorithm to another. Generally, sensor nodes are regrouped into clusters, in each one a Cluster Head (CH) receives packets from its cluster's member, then forwards theses data to the BS in multi-hop or single-hop manner [1] [2]. However, in large fields, sending data from sensor nodes to the BS becomes difficult.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Mobile Data Gathering Method with Tree Clustering Algorithm in Wireless Sensor Networks Balanced and Unbalanced Topologies

Meddah

HADDAD²,

EZZEDDINE

2021

Preprint

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Mobile Data Collector device (MDC) is adopted to reduce the energy consumption in Wireless Sensor Networks. This device travels the network in order to gather the collected data from sensor nodes. This paper presents a new Tree Clustering algorithm with Mobile Data Collector in Wireless Sensor Networks, which establishes the shortest travelling path passing throw a subset of Cluster Heads (CH). To select CHs, we adopt a competitive scheme, and the best sensor nodes are elected according to the number of packets forwarded between sensor nodes, the number of hops to the tree’s root, the residual energy, and the distance between the node and the closest CH. In simulation results, we adopt the balanced and unbalanced topologies and prove the efficiently of our proposed algorithm considering the network lifetime, the fairness index and the energy consumption in comparison with the existing mobile data collection algorithms.

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“…Other protocols have been presented to reduce the energy consumption by finding an optimal route with low cost such as Honey Bee Optimization (HBO) [9] and energy efficient and density control clustering algorithm (EEDCA) [10].…”

Section: Introductionmentioning

confidence: 99%

A Proposed Protocol to Enhance the Performance of Wireless Sensor Networks Based on the Reduction of Power Consumption

El-Deeb¹,

Mohamed²,

Abdullah³

2017

PIER C

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Abstract-This paper represents the analysis and study of selecting the highest power node in the wireless sensor networks as a cluster head. The study assumes that the sensors are fixed and uniformly distributed, and the position of the sink and the dimensions of the sensor are known. The paper introduces a proposed protocol to prolong the time interval before the death of the first node (stability period), which is critical for many applications. The aim of this paper is also to improve the performance of the network by increasing the overall throughput of the network. The proposed protocol selects the cluster head depending on the power level of the node which is the most important factor of the behavior of the nodes. The simulation is made by MATLAB, and the results are compared with two other protocols, LEACH and SEP. It is found that the selection of the highest power node as a cluster head increases the stability region and throughput of the network compared to other protocols.

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An Energy Efficient and Density control Clustering Algorithm for Wireless Sensor Network

Cited by 12 publications

References 8 publications

An energy efficient based hybrid clustering (EEBHC) approaches in wireless sensor network

An energy efficient based hybrid clustering (EEBHC) approaches in wireless sensor network

An Efficient Mobile Data Gathering Method with Tree Clustering Algorithm in Wireless Sensor Networks Balanced and Unbalanced Topologies

A Proposed Protocol to Enhance the Performance of Wireless Sensor Networks Based on the Reduction of Power Consumption

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