A Methodology for Reducing Energy Utilization in Dense Wireless Sensor Networks

International Journal of Research – Granthaalayah, Vol. 4, No. 1, p. 125-130, 2016

Posted: 1 Dec 2016

See all articles by T. Senthil

T. Senthil

SVS College of Engineering

Boselin Prabhu

VSB College of Engineering

R. Rajkumar

SVS College of Engineering - Department of Electronics and Communication Engineering

S. Sophia

Sri Krishna College of Engineering and Technology

Date Written: January 1, 2016

Abstract

The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. Wireless sensor Networks (WSNs), is one of the most rapidly growing scientific domain. This is because of the development of advanced sensor nodes with extremely low cost and the potential application of such sensor nodes are ever growing. One of the characteristic feature of WSNs compared to the traditional wireless communication networks, is the power awareness, due to the fact that the batteries of the sensor nodes have restricted lifetime and are difficult to be replaced. This is why we focus on power awareness, while the traditional wireless networks mainly focuses on the QOS. A typical sensor node consumes most of its energy during communication. However, energy expenditure takes place while performing sensing and data processing too. This work suggests the development of an advanced hierarchical routing technique, which gives improved performance over the existing techniques. Power consumption is highly reduced, thereby greatly reducing the cost of network and hence the lifetime of nodes can be greatly improved.

Keywords: Hierarchical Routing, Cluster Head, Residual Energy and Threshold

Suggested Citation

Senthil, T. and Prabhu, S.R.Boselin and Rajkumar, R. and Sophia, S., A Methodology for Reducing Energy Utilization in Dense Wireless Sensor Networks (January 1, 2016). International Journal of Research – Granthaalayah, Vol. 4, No. 1, p. 125-130, 2016. Available at SSRN: https://ssrn.com/abstract=2875958

T. Senthil

SVS College of Engineering ( email )

Arasampalayam
Coimbatore, Tamil Nadu 641032
India

S.R.Boselin Prabhu (Contact Author)

VSB College of Engineering ( email )

Coimbatore, Tamil Nadu
India

R. Rajkumar

SVS College of Engineering - Department of Electronics and Communication Engineering ( email )

Arasampalayam
Coimbatore, Tamil Nadu
India

S. Sophia

Sri Krishna College of Engineering and Technology ( email )

Coimbatore, Tamil Nadu
India

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