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Data Fusion in Wireless Sensor Network-A Survey

Ishita Chakraborty1 , Prodipto Das2

1 Department of Computer Science, Assam University, Silchar, India.
2 Department of Computer Science, Assam University, Silchar, India.

Correspondence should be addressed to: ishitachakraborty18@gmail.com.


Section:Survey Paper, Product Type: Journal
Vol.5 , Issue.6 , pp.9-15, Dec-2017


CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.915


Online published on Dec 31, 2017


Copyright © Ishita Chakraborty, Prodipto Das . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Citation :
IEEE Style Citation: Ishita Chakraborty, Prodipto Das, “Data Fusion in Wireless Sensor Network-A Survey”, International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.9-15, 2017.

MLA Style Citation: Ishita Chakraborty, Prodipto Das "Data Fusion in Wireless Sensor Network-A Survey." International Journal of Scientific Research in Network Security and Communication 5.6 (2017): 9-15.

APA Style Citation: Ishita Chakraborty, Prodipto Das, (2017). Data Fusion in Wireless Sensor Network-A Survey. International Journal of Scientific Research in Network Security and Communication, 5(6), 9-15.

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Abstract :
Wireless Sensor Network is a network with a number of sensor nodes deployed in a geographical area. These nodes are deployed to various kinds of environmental conditions like humidity, noise, temperature etc. The sensors are used for collecting data related to varying environmental conditions where they are deployed in. The primary constraint in a WSN is energy. Since the sensor nodes are battery operated, collecting and transmitting data will cost a lot of energy resources. Therefore, to maximize the lifetime of sensor networks, aggressive energy optimization techniques have to be used for ensuring that energy is conserved for the sensor nodes. This paper discusses about wireless sensor network, its architecture, data aggregation or fusion related algorithms.

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References :
[1] Ahmed Abdelgawad and Magdy A. Bayoumi, “Resource-Aware Data fusion Algorithms for Wireless Sensor Networks”, Springer-2012, Vol. 118, , ISSN 1876-1100, pp. 3-31.
[2 ]Nagaveni. B.Sangolgi, Syed Khaja Ahmeduddin Zakir, “Energy Aware Data Aggregation Technique in WSN”, International Journal of Scientific and Research Publications, Vol. 3, No. 10, October 2013, ISSN: 2250-3153.
[3] Jayasri B. S and G. Raghavendra Rao, “Need For Energy Efficient Data Fusion in Wireless Sensor Networks”, International Journal of Engineering Research & Technology (IJERT), Vol. 3 No. 1, January – 2014, ISSN: 2278-0181, pp. 1665-1667.
[4] Kaihong Zhang, Cong Li, and Wenhui Zhang, “Wireless Sensor Data Fusion Algorithm Based on the Sensor Scheduling and Batch Estimate”, International Journal of Future Computer and Communication, Vol. 2, No. 4, August 2013, pp. 333-334.
[5] H. Chan, A. Perring, and B. Przydatek et al., “Secure Information Aggregation in Sensor Networks,” in Proc. of the first ACM Conference on Embeded Networked System, 2003, pp. 255-265.
[6] H. F. Chen, H. Mineno, and T. Mizuno, “Adaptive data aggregation scheme in clustered wireless sensor networks,” Computer Communications, 25th September 2008, Vol. 31, No. 25, pp. 3579-3585.
[7] B. Krishnamachari, D. Estrin, and S. Wicker, “Modeling data-centric routing in wireless sensor networks,” in Proc of IEEE Infocom, New York, IEEE Computer society, 2002
[8] W. H. Liao, Y. C. Kao, and C. M. Fan, “Data a.ggregation in wireless sensor networks using ant Colony algorithm,” in Proc. Of the first revised Journal of Network and Computer Applications, Vol. 4, 28 February 2008, pp. 387-401.
[9]Chi-Tsun Cheng, Henry Leung, Member, IEEE, and Patrick Maupin, “A Delay-Aware Network Structure for Wireless Sensor Networks With In-Network Data Fusion”, IEEE Sensors Journal, , May 2013, Vol. 13, No. 5, pp. 1622-1630.
[10] Davood Izadi, Jemal H. Abawajy, Sara Ghanavati, and Tutut Herawa,“A Data Fusion Method in Wireless Sensor Networks”, Sensors (Basel). February 2015, Vol.15, No.2, pp. 1-4.
[11] Zhen-Jiang Zhang, Chin-Feng Lai and Han-Chieh Chao, “A Green Data Transmission Mechanism For Wireless Multimedia Sensor Networks using Information Fusion”, in Proc. of IEEE Wireless Communications , August 2014,ISSN 1536-1284, pp. 14-17.
[12]Amir Sepasi Zahmati, Bahman Abolhassani, Ali Asghar Beheshti Shirazi, and Ali Shojaee Bakhtiari, “An Energy-Efficient Protocol with Static Clustering for Wireless Sensor Networks”, in Proc. of International Journal of Electronics, Circuits and Systems, May 2007, Vol. 1, No. 2, pp. 135-138.
[13] Maen Takruri, and Subhash Challa “Data Fusion Approach for Error Correction in Wireless Sensor Networks” Published in InTech December 2010, Chapter-1 of the book Wireless Sensor Networks: Application-Centric Design, pp. 1-17.
[14] Leeger Yu and Anthony Ephremides “Enhancing Energy Efficiency For Data Fusion In Sensor Networks With A Detection Mission” in Proc. of the 11th International Symposium on Wireless Personal Multimedia Communications (WPMC), 2008.
[15] P. Manjunatha, A.K. Verma and A. Srividya, “Multi-Sensor Data Fusion in Cluster based Wireless Sensor Networks Using Fuzzy Logic Method”, in Proc. of 2008 IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, India, December 8-10.
[16]Xiangbin Zhu,Wenjuan Zhang, “A Mobile Agent-based Clustering Data Fusion Algorithm in WSN”, in Proc. of International Science Index, Mathematical and Computational Sciences ,Vol. 4, No.8, 2010, pp. 1167-1170.
[17] J. Kulik, W.R. Heinzelman and H. Balakrishnan, “Negotiation-based protocols for disseminating information in wireless sensor networks,” Wireless Networks, vol. 8, March 2002, pp. 169-185.
[18] C. Intanagonwiwat, R. Govindan and D. Estrin, “Directed Diffusion: A Scalable and robust communication paradigm for sensor networks,” Proceedings of the Sixth Annual International Conference on Mobile Computing and Networking (MobiCOM’00), August 2000.
[19] B. Krishnamachari, D. Estrin, and S. Wicker, “The impact of data aggregation in wireless sensor networks,” Proc. 22nd International Conference on Distributed Computing Systems Workshops, July 2002, pp. 575-78.
[20] B. Krishnamachari and J. Heidemann, “Application specific modeling of information routing in wireless sensor networks”, Proc. IEEE international performance, computing and communications conference, vol. 23, pp. 717-722, 2004.
[21] S. Lindsey, C. Raghavendra, and K.M. Sivalingam, “Data gathering algorithms in sensor networks using energy metrics,” IEEE Trans. Parallel and Distributed Systems, vol. 13, no. 9, September 2002, pp. 924-935.
[22] S. Chatterjea and P.Havinga, “A Dynamic data aggregation scheme for wireless sensor networks,” Proc. Program for Research on Integrated Systems and Circuits,Veldhoven,The Netherlands, Nov. 2003
[23]M. Ding, X. Cheng and G. Xue, “Aggregation tree construction in sensor networks,” 2003 IEEE 58th Vehicular Technology Conference, vol.4, no.4, October 2003, pp 2168-2172.
[24]K. Vaidhyanathan, S. Sur, S. Narravula, P. Sinha, “Data aggregation techniques sensor networks,” Technical Report, OSU-CISRC-11/04-TR60, Ohio State University, 2004.
[25] Cristanel Razafimandimby, Valeria Loscr´ , Anna Maria Vegni, and Alessandro Neri, Inria Lille - Nord Europe, Lille, France, “A Bayesian and Smart Gateway Based Communication For Noisy IoT Scenario”, 30 January 2017,HAL Archives, Id: hal-01372546.
[26]Praveen Jayasankar, Rachel Hannah, “Cloud-Assisted Data Fusion and Sensor Selection for Internet-of-Things” in Proc. of IEEE Internet of Things Journal, Vol.3, No. 3, June 2016, pp. 257-268.
[27] O. Gnawali, R. Fonseca, K. Jamieson, D. Moss, and P. Levis, “Collection tree protocol,” in Proc. of the Seventh ACM Conference on Embedded Networked Sensor Systems.ACM Press, 2009, pp.1–14.
[28] Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Guangshuo Chen, Yu Gu, Min-You Wu, Xue Liu, “Data Loss and Reconstruction in Wireless Sensor Networks”, in Proc. of IEEE transactions on parallel and distributed systems, 21 October 2013, Vol. 25, No.11, pp. 2818-2828.

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