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Data Fusion by Truncation in Wireless Sensor Network

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Advanced Computational and Communication Paradigms

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 475))

Abstract

In a wireless sensor network (WSN), the sensors collect crucial information about the various measurable environmental parameters and efficiently communicate the same to the base station with an objective of preserving integrity as well as reducing communication overhead. As, these sensors are energy constrained which is inherently required for both computation and transmission, it becomes very important to reduce the amount of data that is to be transmitted to the base station. This objective is attained through data aggregation (Patil NS, Patil PR in Data aggregation in wireless sensor network. 2010 [1]). Data aggregation is done in the network to gather, aggregate data, and then further communicate it to the base station by using suitable data aggregation algorithms. Effective aggregation calls for novel technique such as data fusion in order to reduce the amount of data transmitted. The proposed method involves the truncation of the redundant bits of data. It involves dropping down the extra bits of data without losing the actual information, where the empty bits of data are occupied by the bits of the existing data with the cluster head. The work concludes with the comparison of the LEACH protocol with and without data fusion technique on the basis of various measurable parameters, such as total energy consumed, network layer packet size, and application level latency.

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References

  1. Patil NS, Patil PR (2010) Data aggregation in wireless sensor network. In: IEEE international conference on computational intelligence and computing research

    Google Scholar 

  2. Shen C, Srisathapornphat C, Jaikaeo C (2001) Sensor information networking architecture and applications. IEEE Wirel Commun Mag 8:52–59

    Google Scholar 

  3. Thaker MB, Nagaraj U, Ganjewar PD (2014) Data reduction techniques in wireless sensor network: a survey 2(11)

    Google Scholar 

  4. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 393–422

    Article  Google Scholar 

  5. Jayasri BS, Rao GR (2014) Need for energy efficient data fusion in wireless sensor network 3(1)

    Google Scholar 

  6. Villalba LJG, Orozco ALS, Cabrera AT, Abbas CJB (2007) Routing protocols in wireless sensor networks. In: IEEE transactions on parallel and distributed systems, pp 919–931

    Google Scholar 

  7. Pal S, Bhattacharyya D, Tomar GS, Kim T (2010) Wireless sensor networks and its routing protocols: a comparative study. In: Proceedings of international conference on computational intelligence and communication networks (CICN), pp 314–319

    Google Scholar 

  8. Izadi D, Abawajy JH, Ghanavati S, Herawan T (2015) A data fusion method in wireless sensor network

    Google Scholar 

  9. Mashere MP, Barve SS, Ganjewar PD (2016) Data reduction in wireless sensor network for energy minimization. Int J Sci Eng Technol Res (IJSETR) 5(6). ISSN:2278–7798

    Google Scholar 

  10. Zhang K, Li C, Zhang W (2013) Wireless sensor data fusion algorithm based on the sensor scheduling and batch estimate. Int J Future Comput Commun 2(4)

    Google Scholar 

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Correspondence to Shrijana Pradhan .

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Pradhan, S., Sinha, E., Sharma, K. (2018). Data Fusion by Truncation in Wireless Sensor Network. In: Bhattacharyya, S., Gandhi, T., Sharma, K., Dutta, P. (eds) Advanced Computational and Communication Paradigms. Lecture Notes in Electrical Engineering, vol 475. Springer, Singapore. https://doi.org/10.1007/978-981-10-8240-5_61

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  • DOI: https://doi.org/10.1007/978-981-10-8240-5_61

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8239-9

  • Online ISBN: 978-981-10-8240-5

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