Cluster-based Routing Protocols for Energy-Efﬁciency in Wireless Sensor Networks

Maimour, Moufida; Zeghilet, Houda; Lepage, Francis

doi:10.5772/13274

Cited by 40 publications

(23 citation statements)

References 37 publications

(46 reference statements)

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“…It can improve the network scalability and lifetime, and also energy efficiency. It is efficient to lower the energy consumption within each cluster, performing data aggregation and fusion to decrease the number of transmitted messages to the BS [13][14][15][16].…”

Section: Cluster-based Routing In Wsnmentioning

confidence: 99%

An Energy Efficient Clustering Algorithm for Maximizing the Lifetime of Wireless Sensor Network

Kim¹,

Kim²,

Choi³

et al. 2015

IJNDC

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In this paper we propose an energy efficient clustering algorithm for maximizing the lifetime of WSNs. The proposed scheme decides the cluster head based on the energy level of the nodes, while tree topology is adopted to connect the nodes inside each cluster. A new model for deciding an optimal number of clusters is also derived. Computer simulation reveals that the proposed scheme significantly extends the network lifetime and message delivery ratio compared to the existing schemes.

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Section: Cluster-based Routing In Wsnmentioning

confidence: 99%

An Energy Efficient Clustering Algorithm for Maximizing the Lifetime of Wireless Sensor Network

Kim¹,

Kim²,

Choi³

et al. 2015

IJNDC

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“…Since wireless sensor nodes are powered with small sized batteries, they have limited energy capacity [7] available for operation. As WSN are employed in adverse environmental conditions, it is mostly not possible to recharge the batteries of these nodes.…”

Section: Limited Energy Availabilitymentioning

confidence: 99%

Energy Efficient Routing Strategies for Clustered Wireless Sensor Networks: An Analytical Framework

Anandh¹,

Baburaj²

2013

IJCA

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The efficiency of a wireless sensor network depends on its life time. By conserving the battery power of individual sensor devices, considerable amount of total energy can be saved thereby increasing the total lifetime of the network. The operation phases of a wireless sensor network comprises of sensing the data, aggregating the data in an intermediate node, communicating and forwarding the aggregated data to the sink for further process. Among these, communication or routing process requires more energy than any other operation. Hence a better approach would be allowing only a selected number of nodes to communicate with the sink. This idea led to the construction of the sensor network as a number of clusters with a dynamically elected cluster-head node is only allowed to forward the data to the sink. Various routing techniques for clustered Wireless Sensor Networks has emerged yielding good result in improving the lifetime of the network. Here in this paper, a survey of these routing techniques are presented.

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“…Earlier clustering approaches assume the communication among its nodes and CH to be single hop but nowadays various approaches are published which provide multihop communication in intracluster, and (vii) Overlapping: Overlapping in clustering is said to occur when a sensor node is shared by more than one cluster. Overlapping provide better routing efficiency and also fasten up cluster formation process [14]. Some published approaches allow overlapping, some try to have minimum overlap some not at all permit overlaps.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Power Harvesting in Hierarchical Routing Protocols in Wireless Sensor Networks

Mohamed¹,

Abd-Elrazzak²,

Tawfeec³

2016

IJCA

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Wireless sensor networks (WSNs)consist of a large number of power constrained inexpensive sensor nodes, which aggregate data from the environment and transmit to sink node or base station, saving energy; lifetime; energy efficiency; fault tolerance; deployment of nodes, and latency have become the main great challenges in WSNs due to its wide range of applications. Clustering in routing protocols is a key technique optimize energy consumption in WSNs. In this paper, we propose routing protocol prolong stability and life time of the network. Hence, with the increased complexity of the application, WSN heterogeneity and energy level are also increased. Simulation of 100 sensor node in a field of 100×100m, nodes are deployed random, base station is centered in the field and have unlimited power, hence ignoring the effect caused by interference and signal collision in the wireless channel was carried out. Simulation results show that the proposed routing protocol performs better performance measures than all presented traditional techniques: LEACH, SEP, TEEN, DEEC and DDEEC with more stability and effective messages.

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Cluster-based Routing Protocols for Energy-Efﬁciency in Wireless Sensor Networks

Cited by 40 publications

References 37 publications

An Energy Efficient Clustering Algorithm for Maximizing the Lifetime of Wireless Sensor Network

An Energy Efficient Clustering Algorithm for Maximizing the Lifetime of Wireless Sensor Network

Energy Efficient Routing Strategies for Clustered Wireless Sensor Networks: An Analytical Framework

Effectiveness of Power Harvesting in Hierarchical Routing Protocols in Wireless Sensor Networks

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