Zero Watermarking for Energy Efficiency in Wireless Sensor Networks
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):
Hameed K, Khan MS, Ahmed I, et al. A Zero Watermarking Scheme for Data Integrity in Wireless Sensor Networks. In Proceedings of the 19th International Conference on NBiS, Ostrava, Czech Republic. Sep 7–9, 2016; 119–126p.
Yadav U et al. Different Watermarking Techniques & its Applications: A Review. IJSER. 2014; 5(4): 1288–1294p.
Guru J, Damecha H. Digital Watermarking Classification: A Survey. IJCST. 2014; 2(5): 8–13p.
Zhang W, Liu Y, Das SK, et al. Secure Data Aggregation in Wireless Sensor Networks: A Watermark-Based Authentication Supportive Approach. Pervasive Mob Comput. 2008; 4(5): 658–680p.
Jalila Z, Mirzab AM. A Robust Zero-Watermarking Algorithm for Copyright Protection of Text Documents. Journal of TCIE. 2012; 36(2): 180–189p.
Jalil Z, Mirza AM, Sabir M. Content based Zero-Watermarking Algorithm for Authentication of Text Documents. IJCSIS. 2010; 7(2): 212–217p.
Sun X, Su J, Wang B, et al. Digital Watermarking Method for Data Integrity Protection in Wireless Sensor Networks. IJSIA. 2013; 7(4): 407–416p.
Jalil Z, Mirza AM, Iqbal T. A Zero-Watermarking Algorithm for Text Documents based on Structural Components. In Proceedings of the International Conference on Information and Emerging Technologies, Karachi, Pakistan. Jun 14–16, 2010; 1–5p.
Zhou L, Zhang Z. A Secure Data Transmission Scheme for Wireless Sensor Networks Based on Digital Watermarking. In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, Sichuan, China. May 29–31, 2012; 2097–2101p.
Kamel I, Koky OAl, Dakkak AAl. Distortion Free Watermarking Scheme for Wireless Sensor Networks. In Proceedings of the International Conference on Intelligent Networking and Collaborative Systems; Barcelona, Spain. Nov 4–6, 2009; 135–140p.
Kamel I, Juma H. Simplified Watermarking Scheme for Sensor Networks. IJIPT. 2010; 5(1/2): 101–111p.
Nayak P, Anurag D. A Fuzzy Logic based Clustering Algorithm for WSN to Extend the Network Lifetime. IEEE Sens J. 2015; 16(1): 137–144p.
Halgamuge MN, Zukerman M, Ramamohanarao K, et al. An Estimation of Sensor Energy Consumption. PIER B. 2009; 12: 259–295p.
Dhindsa KS, Aggarwal D. Effect of Embedding Watermark on Compression of the Digital Images. Journal of Computing. 2010; 2(2): 5–8p.
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