Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network

Maraiya, Kiran; Kant, Kamal; Gupta, Nitin

doi:10.5120/2981-3980

Cited by 58 publications

(29 citation statements)

References 19 publications

(13 reference statements)

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“…Maraiya et al (2011) describe Energy Efficient Cluster Head Selection Scheme for Data Aggregation (ECHSSDA) protocol. It is having steady-state phase to improve the life time of the network (Maraiya et al, 2011). Jin and Sonenshein (1994) also used GA for energy optimization in WSN (Zahmatkesh and Yaghmaee, 2012).…”

Section: Related Workmentioning

confidence: 99%

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Optimal Energy Consumption to Extend the Lifetime of Wireless Sensor Networks

Thangadurai¹

2013

Journal of Computer Science

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Recent advances in Wireless Sensor Networks (WSNs) enable us to develop minimum energy consumption clustering algorithms. The WSNs can be used for various applications like battle field, disaster areas and military applications. The most important issue in WSNs is the limited battery of sensor nodes. When sensor nodes are placed in a field, it is difficult to replace their batteries. To minimize the energy consumption of nodes, WSNs introduce various protocols and algorithms. Among the techniques, the genetic based energy efficient clustering algorithms are used to minimize the energy consumption of nodes and to extend the network lifetime. Genetic Algorithm (GA) is an adaptive method for search and optimize problems and the genetic process is based on biological organisms. Clustering is an effective way for reducing energy consumption of a sensor nodes as well as the cost of transmission. The proposed genetic algorithm based clustering protocol provide better efficiency in terms of delay, energy consumption. Here we simulated the proposed protocol by using network simulator ns2.34 and compared with other existing protocols.

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Section: Related Workmentioning

confidence: 99%

“…It uses GA to determine the cluster, CH and CH members and the transmission schedule (Hussain et al, 2007). Maraiya et al (2011) describe Energy Efficient Cluster Head Selection Scheme for Data Aggregation (ECHSSDA) protocol. It is having steady-state phase to improve the life time of the network (Maraiya et al, 2011).…”

Section: Related Workmentioning

confidence: 99%

Optimal Energy Consumption to Extend the Lifetime of Wireless Sensor Networks

Thangadurai¹

2013

Journal of Computer Science

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“…Data aggregation is a process whereby data from sensors in an area is gathered for performing fusion to eliminate redundant data to provide the useful fused information to the base station and improve reliability and life time of the network. The clustering and cluster head selection process involves many issues of power efficiency [57] …”

Section: Reliability Improvement In Wsnmentioning

confidence: 99%

A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network

Venkatesan¹,

Shanmugavel²,

Subramaniam³

2013

WSN

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Design of reliable wireless sensor network (WSN) need to address the failure of single or multiple network components and implementation of the techniques to tolerate the faults occurred at various levels. The issues and requirements of reliability improvement mechanism depend on the available resources and application for which the WSN is deployed. This paper discusses the different modeling approaches to evaluate the reliability and classification of the approaches to improve it. Also the paper analyzes reliability enhancement by existing fault tolerant methods in WSN and compares the performance of these techniques with the technique we developed. From the results of the analysis we highlight the challenges and the characteristics of the sensor network affects the reliability and give some scope of future research directions in order to enhance reliability.

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“…Because if the first node degrade their battery then it put impact on whole area [8]. What is next, clustering is the best method to enhance the network lifetime and creating the optimum number of CH also play an crucial role, which enhance the network stability and lifetime [6].Wireless sensor networks follow some approaches for improving the lifetime of network like energy-aware technique, multi-hop routing and density control technique but these approaches still need to be improved. On the basis of network structure, routing protocol is divided into three parts: flat routing protocol, Hierarchical routing protocol and location aware [7] .…”

Section: Introductionmentioning

confidence: 99%