Methodology for Attaining Scalability and Energy Efficiency in Dense Wireless Sensor Networks

International Journal of Current Engineering and Scientific Research (IJCESR), Vol. 4, Issue 10 (2017)

8 Pages Posted: 25 Oct 2017

See all articles by Dr. Sujatha Krishnamoorthy

Dr. Sujatha Krishnamoorthy

Sri Krishna College of Engineering and Technology; PIT, Computer Science Department; Wenzhou kean university

Date Written: October 25, 2017

Abstract

Each sensor node has a microprocessor and a petite amount of memory. Also every sensor node is equipped with one or more sensing devices such as acoustic sensors, microphone arrays, video cameras, infrared, seismic or magnetic sensors. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.

Keywords: wireless sensor network, sensor node, cluster head, base station, residual energy, energy utilization, network lifetime

Suggested Citation

Krishnamoorthy, Sujatha, Methodology for Attaining Scalability and Energy Efficiency in Dense Wireless Sensor Networks (October 25, 2017). International Journal of Current Engineering and Scientific Research (IJCESR), Vol. 4, Issue 10 (2017). Available at SSRN: https://ssrn.com/abstract=3059028

Sujatha Krishnamoorthy (Contact Author)

Sri Krishna College of Engineering and Technology ( email )

Coimbatore, Tamil Nadu
India

PIT, Computer Science Department ( email )

No.391, Bangalore Trunk Road
Varadharajapuram Poonamallee
Chennai, Tamil Nadu 600123
India

Wenzhou kean university ( email )

wenzhou kean university
China
9003942248 (Phone)

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