An energy balanced QoS based cluster head selection strategy for WSN

Mahajan, Shilpa; Malhotra, Jyoteesh; Sharma, Sandeep

doi:10.1016/j.eij.2014.09.001

Cited by 90 publications

(43 citation statements)

References 8 publications

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“…In this paper, they construct a bound together system for examining this joint sink portability, directing, delay, and so on, yet neglected to clarify the speed of the system depends on the versatility parameter. Shilpa et al [9] proposed a chain weight estimation approach. This method lessens the essentialness dissipating and adjusts the store by picking cluster head centers first, in light of three parameters center point degree, typical imperativeness and minimum way incident factor, and after that forming the inside and out divided group.…”

Section: Related Workmentioning

confidence: 99%

Hybrid TABU-GA Search For Energy Efficient Routing in WSN

Varsha¹,

Bala²,

Kumar³

et al. 2019

IJRTE

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The heterogeneity is contextual in wireless sensor network. In the case of hardware terms, there might be different batteries, memory, MAC layer, communication protocol, and computing architecture. To measure the system's lifetime, this paper focuses on node heterogeneity that implies it has three kinds of nodes: advance nodes, supernodes, and normal nodes. In this paper, proposed a new multilevel stable and energyefficient clustering protocol using TABU-GA search mechanism carries out two neighborhood generating operations to detect the optimal path with the aim of maximize the network lifetime in the area of 200m×200m. The simulation is done under the MATLAB environment to observe network stability, throughput, average remaining energy, etc. Our proposed protocol outperforms in comparison with the multilevel stable and energy-efficient clustering protocol.

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Section: Related Workmentioning

confidence: 99%

Hybrid TABU-GA Search For Energy Efficient Routing in WSN

Varsha¹,

Bala²,

Kumar³

et al. 2019

IJRTE

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“…The multilevel clustering hierarchy can have more than one BS in the network (if needed). In literature, various attempts have been made to improve the energy efficiency through different clustering techniques by addressing the problems of efficient cluster formation, even distribution of load, CH selection and reselection, and cluster reformation [2,[15][16][17][18][19][20]36]; few of them are discussed here.…”

Section: Cluster-based Hierarchical Approachesmentioning

confidence: 99%

“…Cluster chain weighted metrics (CCWM) [17] achieve energy efficiency and increase network performance based on weighted metrics. A set of CHs is selected depending on these metrics.…”

Section: Cluster-based Hierarchical Approachesmentioning

confidence: 99%

Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

Jan

Farman

Javed

et al. 2017

Wireless Communications and Mobile Computing

132

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Wireless sensor networks (WSN) are one of the significant technologies due to their diverse applications such as health care monitoring, smart phones, military, disaster management, and other surveillance systems. Sensor nodes are usually deployed in large number that work independently in unattended harsh environments. Due to constraint resources, typically the scarce battery power, these wireless nodes are grouped into clusters for energy efficient communication. In clustering hierarchical schemes have achieved great interest for minimizing energy consumption. Hierarchical schemes are generally categorized as cluster-based and grid-based approaches. In cluster-based approaches, nodes are grouped into clusters, where a resourceful sensor node is nominated as a cluster head (CH) while in grid-based approach the network is divided into confined virtual grids usually performed by the base station. This paper highlights and discusses the design challenges for cluster-based schemes, the important cluster formation parameters, and classification of hierarchical clustering protocols. Moreover, existing cluster-based and grid-based techniques are evaluated by considering certain parameters to help users in selecting appropriate technique. Furthermore, a detailed summary of these protocols is presented with their advantages, disadvantages, and applicability in particular cases.

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“…A proposal for weight based cluster head selection is given in [14] by Mahajan,Malhotra and Sharma. The clustering mechanisms aims at energy saving as well as load balancing.…”

Section: Related Workmentioning

confidence: 99%

An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks

Jose¹,

Sadashivappa²

2016

IJCA

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Clustering is a significant mechanism used in Wireless Sensor Networks in order to have an efficient energy balance which is inevitable to prolong the lifetime. The concept of unequal clustering has proved to be an effective method for load balancing and thereby reducing hotspot issues in the energy constrained wireless sensor networks. This paper proposes an energy efficient clustering mechanism which can enhance the lifetime of Wireless Sensor Networks. The proposed protocol is an enhancement of the Hybrid Energy-Efficient Distributed clustering protocol where the clustering is performed using energy efficient varying sized clustering algorithm. An overview of the Hybrid Energy-Efficient Distributed clustering protocol, highlighting its advantages and drawbacks is also given in this paper. The performance of the proposed algorithm is evaluated through simulation using MATLAB based on the parameters delay in packet delivery, residual energy of the network and the number of live nodes during precise time periods. Extensive simulation results show that the proposed enhanced Hybrid Energy-Efficient Distributed clustering algorithm gives better performance compared to the energy efficient clustering protocols like Hybrid EnergyEfficient Distributed clustering protocol and Unequal Hybrid Energy-Efficient Distributed clustering protocol based on the above mentioned parameters.

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An energy balanced QoS based cluster head selection strategy for WSN

Cited by 90 publications

References 8 publications

Hybrid TABU-GA Search For Energy Efficient Routing in WSN

Hybrid TABU-GA Search For Energy Efficient Routing in WSN

Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

An Improved Hybrid Energy Efficient Clustering Technique to Enhance the Lifespan of Wireless Sensor Networks

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