Skip to main content
SpringerLink
Log in

Multiple Mobile Elements Based Energy Efficient Data Gathering Technique in Wireless Sensor Networks

  • Chapter
  • First Online:
Digital Business

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 21))

Abstract

WSN applications primarily focus on data accumulation from the various sensor nodes spread across the environment. Many existing data gathering protocols work on the principle of using Cluster Head (CH) which is the designated node in a cluster for collecting data and Mobile Element (ME) which collects data from various CH’s and deposits the data in the Base Station (BS). The proposed work on creation of an efficient data gathering technique in WSN, is the result of intense survey of existing technique in related framework and immense understating of the short coming of these existing protocols. The things that predominantly stand out from the survey performed are overflow of buffers at sensor nodes, visiting schedule of MEs, data fusion aspect and Idle listing concept, have not been well addressed. These limitations pave way for inception of novel data gathering technique for WSN. In this paper Energy Efficient Data Gathering Technique using Multiple Mobile Elements (EEDGMME) is introduced. Better efficiency in data gathering technique is achieved by data fusion at Cache Point (CP) which intends to reduce the instances of transmissions, visiting schedule for MEs to reduce buffer overflow and resultant data loss at various nodes of the network, Sleep-Awake duty cycling which prevents the instances of Idle listing and hence conserve the nodes energy. Practical simulation results prove the theoretical perspective of improved performance gains in comparison to the existing protocol Mobile Element based Energy-Efficient Data Gathering with Tour Length-Constrained in WSN (EEDG). Proposed technique EEDGMME provides better packet delivery ratio, lesser delay, reduced overhead, optimum energy consumption with decreased packet drop and hence enhances the network usability span.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Cui T, Chen L, Ho T, Low SH, Andrew LL (2007) Opportunistic source coding for data gathering in wireless sensor networks. In: IEEE international conference on mobile adhoc and sensor systems, 2007. MASS 2007. IEEE, pp 1–11

    Google Scholar 

  2. Ye Z, Abouzeid AA, Ai J (2007) Optimal policies for distributed data aggregation in wireless sensor networks. In: 26th IEEE international conference on computer communications. INFOCOM 2007. IEEE, pp 1676–1684

    Google Scholar 

  3. Puthal D, Sahoo B, Sharma S (2012) Dynamic model for efficient data collection in wireless sensor networks with mobile sink 1

    Google Scholar 

  4. Bi Y et al (2006) A power graded data gathering mechanism for wireless sensor networks. Acta Automatica Sinica 32(6):881

    Google Scholar 

  5. Yu Y, Krishnamachari B, Prasanna VK (2004) Energy-latency tradeoffs for data gathering in wireless sensor networks. In: Twenty-third annual joint conference of the IEEE computer and communications societies, vol 1. INFOCOM 2004. IEEE

    Google Scholar 

  6. Caillouet C, Li X, Razafindralambo T (2011) A multi-objective approach for data collection in wireless sensor networks. In: Ad-hoc, mobile, and wireless networks. Springer, Berlin, Heidelberg, pp 220–233

    Chapter  Google Scholar 

  7. Soyturk M, Cicibas H, Unal O (2010) Real-time data acquisition in wireless sensor networks. INTECH Open Access Publisher

    Google Scholar 

  8. Ramanan K, Baburaj E (2010) Data gathering algorithms for wireless sensor networks: a survey. Int J Ad hoc Sensor Ubiquitous Comput (IJASUC) 1:102–114

    Article  Google Scholar 

  9. Lu M, Wu J (2008) Utility-based data-gathering in wireless sensor networks with unstable links. In: Distributed computing and networking. Springer, Berlin, Heidelberg, pp 13-24

    Google Scholar 

  10. Ota K, Dong M, Li X (2009) TinyBee: mobile-agent-based data gathering system in wireless sensor networks. In: IEEE international conference on networking, architecture, and storage, 2009. NAS 2009. IEEE, pp 24–31

    Google Scholar 

  11. Zhao M, Ma M, Yang Y (2008) Mobile data gathering with space-division multiple access in wireless sensor networks. In: The 27th conference on computer communications. INFOCOM 2008. IEEE

    Google Scholar 

  12. Zhao M, Gong D, Yang Y (2010) A cost minimization algorithm for mobile data gathering in wireless sensor networks. In: The 7th IEEE international conference on mobile ad-hoc and sensor systems (IEEE MASS 2010). IEEE, pp 322–331

    Google Scholar 

  13. Kinoshita K, Okazaki T, Tode H, Murakami K (2008) A data gathering scheme for environmental energy-based wireless sensor networks. In: 2008 5th IEEE consumer communications and networking conference. IEEE, pp 719–723

    Google Scholar 

  14. Jain S et al (2006) Exploiting mobility for energy efficient data collection in wireless sensor networks. Mobile Netw Appl 11(3):327–339

    Article  Google Scholar 

  15. Wu F-J, Tseng Y-C (2013) Energy-conserving data gathering by mobile mules in a spatially separated wireless sensor network. Wirel Commun Mob Comput 13(15):1369–1385

    Google Scholar 

  16. Wu F-J, Huang C-F, Tseng Y-C (2009) Data gathering by mobile mules in a spatially separated wireless sensor network. In: 2009 tenth international conference on mobile data management: systems, services and middleware, pp 293–298. IEEE

    Google Scholar 

  17. Pandey GK, Singh AP (2015) Energy conservation and efficient data collection in WSN-ME: a survey. Indian J Sci Technol 8(17)

    Google Scholar 

  18. Huang P et al (2013) The evolution of MAC protocols in wireless sensor networks: a survey. IEEE Commun Surv Tutor 15(1):101–120

    Article  Google Scholar 

  19. Jayram BG, Ashoka DV (2015) Qualified breakdown of Wi-Fi with and without standard in wireless networks-onus on throughput, Int J Adv Res Comput Commun Eng 4:19–21

    Google Scholar 

  20. Demirkol I, Ersoy C, Alagoz F (2006) MAC protocols for wireless sensor networks: a survey. IEEE Commun Mag 44(4):115–121

    Article  Google Scholar 

  21. Network, High PERformance Local Area. Mobile communications, Chapter 7: Wireless LANs. Diss. University of Karlsruhe (1996)

    Google Scholar 

  22. Kim TH, Choi S (2006) Priority-based delay mitigation for event-monitoring IEEE 802.15. 4 LR-WPANs. IEEE Commun Lett 10(3):213–215

    Article  Google Scholar 

  23. Molisch AF et al (2004) IEEE 802.15. 4a channel model-final report. IEEE P802 15.04: 0662

    Google Scholar 

  24. Bhar J (2015) A Mac protocol implementation for wireless sensor network. J Comput Netw Commun 2015:1

    Article  MathSciNet  Google Scholar 

  25. Hurtado-López J, Casilari E (2013) An adaptive algorithm to optimize the dynamics of IEEE 802.15.4 networks. In: International conference on mobile networks and management. Springer International Publishing

    Google Scholar 

  26. Stanislowski D et al (2014) Adaptive synchronization in IEEE802. 15.4 e networks. IEEE Trans Ind Inform 10(1):795–802

    Article  Google Scholar 

  27. Jayram BG, Ashoka DV (2012) Comparison of MAC layer protocols for wireless sensor networks. In: Proceeding of international conference on evolutionary trends in information technology

    Google Scholar 

  28. Jayram BG, Ashoka DV (2012) Performance improvement of DMAC for data gathering in wireless sensor networks. In: Proceedings of international conference on global research. Sharing innovative thoughts, gaining memorable knowledge, pp 61–68

    Google Scholar 

  29. Jayram BG, Ashoka DV (2014) MAC layer protocols for WSN—comparison and performance improvement strategy. Int J Eng Res 3(4):217—220

    Article  Google Scholar 

  30. Anastasi G, Conti M, Di Francesco M (2009) An adaptive sleep strategy for energy conservation in wireless sensor networks. Technical Report DII-TR-2009-03. http://info.iet.unipi.it/~anastasi/papers/DII-TR-2009-03.pdf

  31. Jayram BG, Ashoka DV (2013) Merits and demerits of existing energy efficient data gathering techniques for wireless sensor networks. Int J Comput Appl 66(9)

    Google Scholar 

  32. Almi’ani K, Viglas A, Libman L (2010) Energy-efficient data gathering with tour length-constrained mobile elements in wireless sensor networks. In: 2010 IEEE 35th conference on local computer networks (LCN), pp 582–589

    Google Scholar 

  33. Kim J-W, In J-S, Hur K, Kim J-W, Eom D-S (2010) An intelligent agent-based routing structure for mobile sinks in WSNs. IEEE Trans Consumer Electron 56(4):2310–2316

    Article  Google Scholar 

  34. Jayram BG, Ashoka DV (2016) Comparative analysis of data gathering protocols with multiple mobile elements for wireless sensor network. In: Proceedings of first international conference on information and communication technology for intelligent systems, vol 1. Springer International Publishing, pp 281—290

    Google Scholar 

  35. Kumar KA, Ribeiro VJ (2009) REEF: a reliable and energy efficient framework for wireless sensor networks. In: 2009 First international communication systems and networks and workshops. IEEE, pp 1–9

    Google Scholar 

  36. Narayana G, Akkalakshmi M, Damodaram A (2016) Energy efficient polynomial based group key management protocol for secure group communications in MANET. Int J Appl Eng Res 11(9):6701–6705

    Google Scholar 

  37. Jea D, Somasundara A, Srivastava M (2005) Multiple controlled mobile elements (data mules) for data collection in sensor networks. In: International conference on distributed computing in sensor systems. Springer, Berlin, Heidelberg, pp 244–257

    Chapter  Google Scholar 

  38. Ye W, Heidemann J, Estrin D (2004) Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Trans Netw 12(3):493–506

    Article  Google Scholar 

  39. Halfbrodt H-C (2010) MAC protocols for wireless sensor networks. Institute of Computer Science Freie Universität Berlin, Germany, Jan 2010

    Google Scholar 

  40. Pradhan S, Sharma K, Dhakar JS, Parmar M (2016) Cluster head rotation in wireless sensor network: a simplified approach. group 4(1)

    Google Scholar 

Download references

Acknowledgements

This work is sponsored and supported by grant from Vision Group on Science and Technology (VGST), Govt. of Karnataka (GRD-128). The authors wish to thank Dr. S. Ananth Raj, Consultant, VGST, and Prof. G. L. Shekar, NIE., for their encouragement in pursuing this research work.

Author information

Authors and Affiliations

  1. The National Institute of Engineering, Mysuru, Karnataka, India

    Bhat Geetalaxmi Jairam

  2. JSS Academy of Technical Education, Bengaluru, Karnataka, India

    D. V. Ashoka

Authors
  1. Bhat Geetalaxmi Jairam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. V. Ashoka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bhat Geetalaxmi Jairam .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  3. Business Systems and Analytics Department, La Salle University, Philadelphia, Pennsylvania, USA

    Madjid Tavana

  4. University Politehnica of Bucharest, Bucharest, Romania

    Florin Popentiu-Vlădicescu

  5. Shenyang Jianzhu University, Shenyang, China

    Feng Qiao

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Jairam, B.G., Ashoka, D.V. (2019). Multiple Mobile Elements Based Energy Efficient Data Gathering Technique in Wireless Sensor Networks. In: Patnaik, S., Yang, XS., Tavana, M., Popentiu-Vlădicescu, F., Qiao, F. (eds) Digital Business. Lecture Notes on Data Engineering and Communications Technologies, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-93940-7_12

Download citation

Publish with us

Policies and ethics

Search

Navigation