Optimized algorithm for balancing clusters in wireless sensor networks

Kim, Mucheol; Kim, Sunhong; Byun, Hyungjin; Han, Sangyong

doi:10.1631/jzus.a0820765

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…In Figure 1, the network lifetime of the proposed approach was compared to that of the previous three algorithms, LEACH [21], MESH [10], and OABC [24]. (Alluding to Section 1, the network lifetime designates the time until every node in the network was alive.)…”

Section: Methodsmentioning

confidence: 99%

“…The existing approaches based on the random rotation model form a new cluster whenever a message transfer finishes at the base station [10, 13, 17, 21, 23, 24, 26]. However, unnecessary changes in cluster formation make balanced control more difficult because even nodes with a low energy level can be selected as the CH.…”

Section: An Enhanced Load Balancing Clustering Algorithmmentioning

confidence: 99%

“…Reference [23] achieved uniform distribution of the CH nodes by favoring nodes deployed in densely populated network areas as better candidates for CH nodes. Reference [24] proposed a balanced clustering algorithm that exploits the redundancy properties and the energy level of multiple temporary clusters.…”

Section: Related Workmentioning

confidence: 99%

“…(DN does not only have residual energy but is also located in the intermediately position for transmitting to BS among the cluster heads.) In this case, as methods to organize clusters and select cluster heads, existing probability-based clustering methods [21, 24] are used. The DN realizes a multihop clustering type message transmission method and flexibly determines whether to reconfigure networks depending on situations.…”

Section: An Enhanced Load Balancing Clustering Algorithmmentioning

confidence: 99%

See 3 more Smart Citations

CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs

Kim

Seo

et al. 2014

International Journal of Distributed Sensor Networks

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A wireless sensor network consisting of resources, size, and cost-limited sensors is used in many military and civil applications. This paper proposes an energy-efficient clustering algorithm that extends the lifetime of sensor networks. The proposed clustering algorithm is an extended hierarchical clustering protocol that minimizes the overall amount of consumed energy in the network. The proposed approach dynamically updates clusters and distributes the load on the heavily loaded cluster heads among different nodes. It also balances the remaining energy on nodes in the network, which leads to prolonged network lifetime. The performance is evaluated in terms of network lifetime, average energy consumption, and standard deviation of residual energy.

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Section: Methodsmentioning

confidence: 99%

Section: An Enhanced Load Balancing Clustering Algorithmmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: An Enhanced Load Balancing Clustering Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs

Kim

Seo

et al. 2014

International Journal of Distributed Sensor Networks

Self Cite

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“…One is disjoint multipath routing, where the alternative paths do not intersect with each other [11]. The LEACH algorithm is currently the most widely used algorithm for sensor network clustering [12]. In order to equalize energy consumption, the algorithm uses the random rotation method for electing the CH.…”

Section: Introductionmentioning

confidence: 99%

Multipath-LEACH an Energy Efficient Routing Algorithm for Wireless Sensor Network

Balavalad¹,

Katageri²,

Biradar³

et al. 2014

JACN

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Abstract-LEACH is one of the algorithms for packet routing in the wireless sensor network by reducing the energy consumption by nodes, but the routing strategy adopted in LEACH, still results in considerable energy consumption of node for transmitting and reception of the data. In order to reduce the consumption of the energy, we have proposed a routing scheme called Multipath-LEACH for energy efficient routing in wireless sensor networks. In this protocol/scheme, the whole network area is divided into cells and each cell will have a cluster head, and each cluster head will communicate with each other and then forward the data to the base station for communication, by following multipath routing strategy. The proposed protocol is developed on LEACH protocol incorporating the Multipath routing schemes in to it. The proposed work is tested for energy consumption and lifetime of the network and it is found that it reduces the energy consumption of the network and hence increasing the lifetime. IndexTerms-LEACH, multipath-LEACH, energy efficiency, network lifetime.

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BAFSA: Breeding Artificial Fish Swarm Algorithm for Optimal Cluster Head Selection in Wireless Sensor Networks

Sengottuvelan

Prasath

2016

Wireless Pers Commun

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Optimized algorithm for balancing clusters in wireless sensor networks

Cited by 7 publications

References 17 publications

CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs

CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs

Multipath-LEACH an Energy Efficient Routing Algorithm for Wireless Sensor Network

BAFSA: Breeding Artificial Fish Swarm Algorithm for Optimal Cluster Head Selection in Wireless Sensor Networks

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