A Clustering Routing Protocol for Energy Balance of WSN based on Genetic Clustering Algorithm

He, Shan; Dai, Yanyan; Zhou, Ri-Gui; Zhao, Shiting

doi:10.1016/j.ieri.2012.06.172

Cited by 25 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper possibilistic noise-resistant algorithms are used. This category of clustering algorithm is introduced by Krishnapuram et al They proposed a new method named Possibilistic C-Means (PCM) algorithm [17] & [18]. The main disadvantages of PCM are as follows: it generates coincident clusters and also it is very sensitive to initial points.…”

Section: Clustering Methodsmentioning

confidence: 99%

A New Pluggable Framework for Centralized Routing in Wireless Sensor Network

Mollanejad¹,

Ahrabi²,

Bahrbegi³

et al. 2014

IJCNIS

View full text Add to dashboard Cite

This paper presents a novel energy aware centralized dynamic clustering routing framework for large-scale Wireless Sensor Network (WSN). The main advantage of the proposed method is pluggability of clustering algorithms in the framework. It uses some clustering algorithms that some of their usages are new in this field. The clustering algorithms are K-means, FCM, UPC, GA, IGA and FGKA that run at base station used to identify cluster of sensors. Six clustering algorithms are evaluated in the framework and results of them are compared in three models named unicast, multicast and broadcast.

show abstract

Section: Clustering Methodsmentioning

confidence: 99%

A New Pluggable Framework for Centralized Routing in Wireless Sensor Network

Mollanejad¹,

Ahrabi²,

Bahrbegi³

et al. 2014

IJCNIS

View full text Add to dashboard Cite

show abstract

“…He,S et al [19].proposed cluster based genetic algorithm for energy balance. This algorithm combines Genetic Algorithm with Fuzzy C-Means algorithm.…”

Section: Genatics Algorithms Based Routingalgorithmsmentioning

confidence: 99%

Energy Efficient Disjoint Path Routing Using Genetic Algorithm for Wireless Sensor Network

Mehetre¹,

Wagh

2015

2015 International Conference on Computing Communication Control and Automation

View full text Add to dashboard Cite

Design of effective WSN topology is major issue in prolonging network lifetime in wireless sensor networks. Designed topology is expected to be efficient and balanced in terms of energy consumption. This paper proposes Genetic Algorithm (GA) based energy efficient disjoint path routing scheme which will help in prolonging lifetime of wireless sensor networks. Simulation results shows that proposed algorithm is improvement over existing algorithm in terms of energy consumption and network lifetime. Proposed method will be also applicable to set of applications where disjoint paths is necessary for fault tolerance.

show abstract

“…There have been numerous techniques proposed to address this need is discussed in the review of literature below. Shijun He et al proposed a novel method that combines genetic algorithm and fuzzy C-means clustering algorithm (FCM) to improve the sensitivity of the initial value of FCM [1] which uses the membership to describe the possibility of cluster. In this paper [2], an energy efficient sensor network is obtained by using effective topology control in case of any node failure in hazardous environment.…”

Section: Introductionmentioning

confidence: 99%

Reinforce Coverage Area of Sensor Mote in Wireless Ad-Hoc Networks Using Genetic Algorithm

Hemalatha¹,

Srinivasan²

2018

IJET

View full text Add to dashboard Cite

Wireless sensor based communication is everlasting growing sector within the industry of communication. In WSN improving the life expectancy of the network depends on the energy dissipation of senor devices. Diminishing the energy dissipation of sensor device will enhance the lifetime and device failure which helps in better availability and coverage area of sensor network. One of the dynamic research fields in wireless sensor network is that of coverage. Coverage can be defined as how well each point of interest is monitored by sensor network. In this paper, we investigate the cluster head selection issue, particularly focusing on applications where the upkeep of full network coverage is the fundamental prerequisite. Coverage maintenance for extended period is a pivotal issue in wireless sensor network because of the constrained inbuilt battery in sensors. Coverage maintenance may be prolonged by utilizing the network energy efficiently, by keeping an adequate number of sensors in sensor covers. The clustering algorithm is a solution to reduce energy consumption which can be helpful to the scalability and network lifetime. Assuming serious energy rebalancing with additional clustering algorithm, a Genetic algorithm (GA) based clustering algorithm which evaluates the fitness function by considering the two major parameters distance and energy has been proposed in this paper. Simulation result shows that the proposed solution finds the optimal cluster heads and has prolonged network lifetime and maximum coverage.

show abstract

A Clustering Routing Protocol for Energy Balance of WSN based on Genetic Clustering Algorithm

Cited by 25 publications

References 6 publications

A New Pluggable Framework for Centralized Routing in Wireless Sensor Network

A New Pluggable Framework for Centralized Routing in Wireless Sensor Network

Energy Efficient Disjoint Path Routing Using Genetic Algorithm for Wireless Sensor Network

Reinforce Coverage Area of Sensor Mote in Wireless Ad-Hoc Networks Using Genetic Algorithm

Contact Info

Product

Resources

About