Zero Watermarking for Energy Efficiency in Wireless Sensor Networks

Authors

  • Sandeep Kaur Saini Research Scholar, Department of Computer Science and Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab, India
  • Atul Kumar Assitant Professor, Department of Computer Science and Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab, India
  • Kanwalvir Singh Dhindsa Professor, Department of Computer Science and Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab, India

DOI:

https://doi.org/10.37591/jowet.v5i3.1780

Abstract

A group of dedicated and spatially distributed sensors that collect and transmit huge amount of data from the source nodes to the base station (BS) is referred to as Wireless Sensor Networks (WSN). The data is collected from the sensor deployed environment and sent to the BS directly or indirectly (via intermediate nodes). Energy constraint is the key obstacle in WSN by which sensor nodes undergo, where main source of the power supply are batteries. Both transmission modes, one-to-one and cluster-based face a difficulty of proficient and secure broadcast of data in wireless environment. In this context, sensor nodes are expected to operate independently in unattended area for long period of time as it is not always possible to manually replace the nodes because of their number, the maintenance cost or the inaccessibility of monitored environment. Indeed, sensor nodes are battery-powered devices with resource limitation, primarily in terms of energy. The deficiency of one component may compromise the working of the whole network. Therefore, there is a requirement to develop energy-efficient solutions which can increase the network lifetime. The objective is to introduce a new strategy for energy preservation in WSN, so that the working time of these networks can be increased.

Keywords: Elliptic curve cryptography, Huffman coding, wireless sensor network, zero watermarking.

Cite this Article

Sandeep Kaur Saini, Atul Kumar, Kanwalvir Singh Dhindsa. Zero Watermarking for Energy Efficiency in Wireless Sensor Networks. Journal of Web Engineering & Technology. 2018; 5(3):
1–9p.

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Published

2018-10-14

Issue

Vol. 5 No. 3 (2018)

Section

Research Articles

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