Skip to main content
SpringerLink
Log in
Book cover

Annual Convention of the Computer Society of India

CSI 2018: Social Transformation – Digital Way pp 68–82Cite as

Utility of Data Aggregation Technique for Wireless Sensor Network: Detailed Survey Report

  • Conference paper
  • First Online:

  • 841 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 836))

Abstract

Small size sensor nodes form the ad hoc wireless sensor network (WSN). This network is generally used to collect and process data from different regions where the movement of human being are unusual in modern age. The sensor nodes are deployed in such position where fixed network is not being present. That location may be very remote or some disaster-prone area. In disaster-prone zone, after disaster, most often no fixed network remains active. In that scenario, one of the reliable sources to collect the data is the ad-hoc sensor network. As sensor nodes are very much battery hunger, an efficient power utilization is required for enhancing the network-lifetime by reducing data traffic in the WSN. For this reason, it is important to develop very efficient software and hardware solutions as well as managing different topological aspects to make the most efficient use of limited resources in terms of energy, computation and storage. One of the most suitable approaches is data aggregation protocol which can reduce the communication cost by extending the lifetime of sensor networks. The process on cost reduction of WSN techniques are developing in different aspects like intelligent cluster based and tree based approaches. These are used for most suitable data aggregation techniques. In this concern, many different approaches also be used for cluster formation and collecting data from different sensor nodes. This data may be aggregated after collection in sensor nodes (data fusion) or aggregated after collection in sink node/ cluster head. Our aim in the study paper is to visualize and analyze different approaches which are applicable to reduce the power consumption of the sensor node as well as to transfer data from source to destination in different unusual scenarios such as damage of sensor node or movability of nodes etc. efficiently. Our effort is to study, as much as possible, different types of data aggregation related techniques also. Achieving the concept, our findings will provide us with a new way-out for further development of sensor network as well as the efficient use of different techniques in specific applications of those networks in a suitable manner. At last our study is confined only in the case of various types of data aggregation techniques by giving special importance to the cluster based approach to increase the life time of different nodes used in WSN.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd International Conference on System Sciences (HICSS 2000), vol. 2, Anchorage Alaska, pp. 1–10, January 2000

    Google Scholar 

  2. Chiasserini, C.-F., Chlamtac, I., Monti, P., Nucci, A.: Energy efficient design of wireless ad hoc networks. In: Gregori, E., Conti, M., Campbell, Andrew T., Omidyar, G., Zukerman, M. (eds.) NETWORKING 2002. LNCS, vol. 2345, pp. 376–386. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-47906-6_30

    Chapter  MATH  Google Scholar 

  3. Demirbas, M., Arora, A., Mittal, V.: FLOC: a fast local clustering service for wireless sensor networks. In: Proceedings of First Workshop Dependability Issues in Wireless Ad Hoc Networks and Sensor Networks, June 2004

    Google Scholar 

  4. Hu, F., Xiaojun, C., May, C.: Optimized scheduling for data aggregation in wireless sensor networks. In: IEEE ITCC 2005, Las Vegas, NV, USA, April 2005

    Google Scholar 

  5. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, vol. 2, January 2000

    Google Scholar 

  6. Wong, J., Jafari, R., Potkonjak, M.: Gateway placement for latency and energy efficient data aggregation. In: 29th Annual IEEE International Conference on Local Computer Networks, pp. 490–497, November 2004

    Google Scholar 

  7. Cristescu, R., Beferull-Lozano, B., Vetterli, M.: On network correlated data gathering. In: IEEE INFOCOM 2004, Hong Kong, March 2004

    Google Scholar 

  8. Pottie, G.J., Kaiser, W.J.: Wireless integrated network sensors. Commun. ACM 43, 51–58 (2000)

    Article  Google Scholar 

  9. Bhatlavande, A.S., Phatak, A.A.: Data aggregation techniques in wireless sensor networks: literature survey (0975 - 8887). Int. J. Comput. Appl. 115(10), 21–24 (2015)

    Google Scholar 

  10. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Netw. 1(4), 660–670 (2002)

    Article  Google Scholar 

  11. Beal, J.: A robust amorphous hierarchy from persistent nodes, AI Memo, no. 11 (2003)

    Google Scholar 

  12. Tripathi, A., Gupta, S., Chourasiya, B.: Int. J. Adv. Res. Comput. Commun. Eng. 3(7) (2014). ISSN 2319-5940

    Google Scholar 

  13. Akkaya, K., Younis, M.: A survey of routing protocols in wireless sensor networks. Elsevier Ad Hoc Netw. J. 3(3), 325–349 (2005)

    Article  Google Scholar 

  14. Tan, H.O., Korpeoglu, I.: Power efficient data gathering and aggregation in wireless sensor networks. ACM SIGMOD Rec. 32(4), 66–71 (2003)

    Article  Google Scholar 

  15. Solis, I., Obraczka, K.: Isolines: energy-efficient mapping in sensor networks. In: IEEE ISCC 2005, Cartagena, Spain, June 2005

    Google Scholar 

  16. Yu, Y., Krishnamachari, B., Prasanna, V.: Energy-latency tradeoffs for data gathering in wireless sensor networks. In: IEEE INFOCOM 2004, Hong Kong, March 2004

    Google Scholar 

  17. Luo, H., Luo, J., Liu, Y., Das, S.: Energy efficient routing with adaptive data fusion in sensor Networks. In: Third ACM/SIGMOBILE Workshop on Foundations of Mobile Computing, Cologne, Germany, August 2005

    Google Scholar 

  18. Manjhi, A., Nath, S., Gibbons, P.B.: Tributaries and deltas: efficient and robust aggregation in sensor network stream. In: ACM SIGMOD 2005, Baltimore, MD, USA, June 2005

    Google Scholar 

  19. Hu, Y., Yu, N., Jia, X.: Energy efficient real-time data aggregation in wireless sensor networks. In: ACM IWCCC 2006, Vancouver, British Columbia, Canada, July 2006

    Google Scholar 

  20. Han, B., Jia, W.: Clustering wireless ad hoc networks with weakly connected dominating set. J. Parallel Distrib. Comput. 67, 727–737 (2007)

    Article  Google Scholar 

  21. Madden, S., Franklin, M.J., Hellerstein, J.M., Hong, W.: TAG: a tiny aggregation service for ad-hoc sensor networks. In: OSDI 2002, Boston, MA, USA, December 2002

    Google Scholar 

  22. McDonald, A.B., Znati, T.: A mobility based framework for adaptive clustering in wireless ad-hoc networks. IEEE J. Sel. Areas Commun. 17(8), 1466–1487 (1999)

    Article  Google Scholar 

  23. Amis, A., Prakash, R.: Load-balancing clusters in wireless ad hoc networks. In: Proceedings of Symposium on Application-Specific Systems and Software Engineering (ASSET), March 2000

    Google Scholar 

  24. Ji, X.: Sensor positioning in wireless ad-hoc sensor networks with multidimensional scaling. In: Proceedings of IEEE INFOCOM, March 2004

    Google Scholar 

  25. Wu, T., Biswas, S.K.: A self-reorganizing slot allocation protocol for multi-cluster sensor networks. In: Proceedings of Fourth International Conference on Information Processing in Sensor Networks (IPSN 2005), pp. 309–316, April 2005

    Google Scholar 

  26. Jianbo, X., Siliang, Z., Fengjiao, Q.: A new in-network data aggregation technology of wireless sensor networks. In: IEEE SKG 2006, Guilin, China, November 2006

    Google Scholar 

  27. Krishnamachari, B., Estrin, D., Wicker, S.: The impact of data aggregation in wireless sensor networks. In: IEEE ICDCS 2002, Vienna, Austria, July 2002

    Google Scholar 

  28. Huang, L., Zhao, B., Joseph, A., Kubiatowicz, J.: Probabilistic data aggregation in distributed networks. Technical report, EECS Department, University of California, Berkeley. UCB/EECS-2006-11, 6 February 2006

    Google Scholar 

  29. Zhu, Y., Sundaresan, K., Sivakumar, R.: Practical limits on achievable energy improvements and useable delay tolerance in correlation aware data gathering in wireless sensor networks. In: IEEE SECON (2005)

    Google Scholar 

  30. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: Anapplication-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1(4), 660–670 (2002)

    Article  Google Scholar 

  31. Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, Hoboken (1991)

    Book  Google Scholar 

  32. Pattem, S., Krishnamachari, B., Govindan, R.: The impact of spatial correlation on routing with compression in wireless sensor networks. In: ACM/IEEE IPSN 2004, Berkeley, CA, USA, April 2004

    Google Scholar 

  33. Sartipi, M., Fekri, F.: Source and channel coding in wireless sensor networks using LDPC codes. In: IEEE SECON 2004, Santa Clara, CA, USA, October 2004

    Google Scholar 

  34. He, T., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: AIDA: adaptive application-independent data aggregation in wireless sensor networks. ACM Trans. Embed. Comput. Syst. 3(2), 426–457 (2004)

    Article  Google Scholar 

  35. Li, H.: Resource Management for Distributed Real-Time System, September 2006

    Google Scholar 

  36. Sabri, A., Al-Shqeerat, K.: Hierarchical cluster-based routing protocols for wireless sensor networks–a survey. IJCSI Int. J. Comput. Sci. Issues 11(1), 93 (2014)

    Google Scholar 

  37. Dhand, G., Tyagi, S.S.: Data aggregation techniques in WSN: survey. Procedia Comput. Sci. 92, 378–384 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Women’s Polytechnic Chandannagar, Hooghly, India

    Kaustuv Sarangi

  2. Department of Computer Application, Kalyani Government Engineering College, Kalyani, India

    Indrajit Bhattacharya

Authors
  1. Kaustuv Sarangi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Indrajit Bhattacharya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kaustuv Sarangi .

Editor information

Editors and Affiliations

  1. Kalyani University, Kalyani, India

    Jyotsna Kumar Mandal

  2. University of Calcutta, Kolkata, India

    Devadatta Sinha

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sarangi, K., Bhattacharya, I. (2018). Utility of Data Aggregation Technique for Wireless Sensor Network: Detailed Survey Report. In: Mandal, J., Sinha, D. (eds) Social Transformation – Digital Way. CSI 2018. Communications in Computer and Information Science, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-13-1343-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1343-1_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1342-4

  • Online ISBN: 978-981-13-1343-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation