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Data collection model for energy-efficient wireless sensor networks

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Abstract

To deal with real life scenarios for wireless sensor networks with uneven contours, connectivity issues, and dropping packets, heterogeneous sensors became the vital factor to enhance its capability in terms of energy efficiency and end-to-end packet delay. In recent times, end-to-end packet delay has a significant role in wireless sensor networks along with energy efficiency and network lifetime. In the present situation, the information delayed is information lost, and hence, end-to-end packet delay is playing an important role in wireless sensor networks. To address the issue of end-to-end packet delay in wireless sensor network, a mobile cluster-head data collection model for heterogeneous wireless sensor networks has been evaluated. In this paper, the mobile cluster-head data collection model has been evaluated for two different scenarios. This paper also illustrates the velocity of the cluster-head node with which it should move to reduce the end-to-end packet delay. The mobile cluster-head data collection mobility model has been evaluated for end-to-end packet delay on the basis of data send rate, network size, sensor node density, and cluster-head node density. For verification and validation, extensive simulations have been conducted which validates that the efficient mobility pattern of the mobile cluster-head nodes can lower end-to-end packet delay of wireless sensor networks.

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Abbreviations

VAS:

Voronoi ant systems

VCP:

Voronoi control packet

MTWSW:

Modified two-way sliding window

MCHDC:

Mobile cluster-head data collection

WSN:

Wireless sensor network

HP:

Head point

MAC:

Media access control

BSN:

Base station node (sink node)

References

  1. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. J Comput Netw 38:393–422

    Article  Google Scholar 

  2. Abbasi A, Younis M (2007) A survey on clustering algorithms for wireless sensor networks. J Comput Commun 30:2826–2841

    Article  Google Scholar 

  3. Fasolo E, Rossi M, Widmer J, Zorzi M (2007) In-network aggregation techniques for wireless sensor networks: a survey. J Wirel Commun 14(2):70–87

    Article  Google Scholar 

  4. Abdelgawad A, Bayoumi M (2012) Data fusion in WSN. In: Abdelgawad A, Bayoumi M (eds) Resource-aware data fusion algorithms for wireless sensor networks (pp. 17–35), Lecture Notes in Electrical Engineering 118, Springer

  5. Markovic GB, Dukic ML (2015) Joint cumulant estimate correction and decision for cooperative modulation classification by using multiple sensors. Ann Telecommun 70:197–206

    Article  Google Scholar 

  6. Mhatre V, Rosenberg C (2004) Homogeneous vs heterogeneous clustered sensor networks: a comparative study. IEEE Int Conf Commun. doi:10.1109/ICC.2004.1313223

    Google Scholar 

  7. Ekici E, Gu Y, Bozdag D (2006) Mobility-based communication in wireless sensor networks. IEEE Communications Magazine, Topics in Ad Hoc Networks, pp. 56–62

  8. Gautam N, Sofat S, Vig R (2015) Energy efficient mobile cluster-head data collection model for wireless sensor networks. Turk J Electr Eng Comput Sci. doi:10.3906/elk-1406-155

    Google Scholar 

  9. Mirsadeghi M, Mahani A (2015) Energy efficient fast predictor for WSN-based target tracking. Ann Telecommun 70:63–71

    Article  Google Scholar 

  10. Ammari HM, Das SK (2008) A trade-off between energy and delay in data dissemination for wireless sensor networks using transmission range slicing. J Comput Commun 31:1687–1704

    Article  Google Scholar 

  11. Iwanari Y, Asaka T, Takahashi T (2011) Power saving mobile sensor networks by relay communications. IEEE CCNC. doi:10.1109/CCNC.2011.5766357

    Google Scholar 

  12. Luo J, Hubaux J (2005) Joint mobility and routing for lifetime elongation in wireless sensor networks. IEEE INFOCOM. doi:10.1109/INFCOM.2005.1498454

    Google Scholar 

  13. Jea D, Somasundara A, Srivastava M (2005) Multiple controlled mobile elements (data mules) for data collection in sensor networks. IEEE Int Conf Distrib Comput Sensor Syst (DCOSS). doi:10.1007/11502593_20

    Google Scholar 

  14. Song L, Hatzinakos D (2007) Architecture of wireless sensor networks with mobile sinks: sparsely deployed sensors. IEEE Trans Veh Technol 56(4):1826–1836

    Article  Google Scholar 

  15. Liu W, Wang J, Xing G, Huang L, Lu K (2012) Performance analysis of wireless sensor networks with mobile sinks. IEEE Trans Veh Technol 61(6):2777–2788

    Article  Google Scholar 

  16. Shah RC, Roy S, Jain S, Brunette W (2003) Data mules: modeling a three-tier architecture for sparse sensor networks. IEEE Sensor Netw Protoc Appl. doi:10.1109/SNPA.2003.1203354

    Google Scholar 

  17. Wang W, Srinivasan V, Chua K (2005) Using mobile relays to prolong the lifetime of wireless sensor networks. Proceedings of the 11th annual international conference on Mobile computing and networking. doi: 10.1145/1080829.1080858

  18. Xing G, Wang T, Xie Z, Jia W (2007) Rendezvous planning in mobility-assisted wireless sensor networks. IEEE Real Time Syst Symp. doi:10.1109/RTSS.2007.44

    Google Scholar 

  19. Kim HS, Abdelzaher TF, Kwon WH (2003) Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks. Proceedings of the 1st international conference on Embedded networked sensor systems. doi: 10.1145/958491.958515

  20. Hung LX, Lee S (2004) A coordination-based data dissemination protocol for wireless sensor networks. Intell Sensors Sensor Netw Inf Process Conf. doi:10.1109/ISSNIP.2004.1417430

    Google Scholar 

  21. Zhao M, Yang Y (2009) Bounded relay hop mobile data gathering in wireless sensor networks. IEEE Mob Adhoc Sensor Syst. doi:10.1109/MOBHOC.2009.5336976

    Google Scholar 

  22. El-Moukaddem F, Torng E, Xing G, Kulkarni S (2009) Mobile relay configuration in data-intensive wireless sensor networks. IEEE Mob Adhoc Sensor Syst. doi:10.1109/TMC.2011.266

    Google Scholar 

  23. Zhao M, Ma M, Yang Y (2011) Efficient data gathering with mobile collectors and space-division multiple access technique in wireless sensor networks. IEEE Trans Comput 60(3):400–417

    Article  MathSciNet  Google Scholar 

  24. El-Moukaddem F, Torng E, Xing G (2010) Maximizing data gathering capacity of wireless sensor networks using mobile relays. IEEE 7th International Conference on Mobile Ad-hoc and Sensor Systems. doi: 10.1109/MASS.2010.5664019

  25. Gautam N, Sofat S, Vig R (2014) An ant voronoi based clustering approach for wireless sensor networks. In: Sherif MH, Mellouk A, Li J, Bellavista P (eds) Ad hoc networks (pp. 32–46). LNCIST, Springer

  26. Gautam N, Sofat S, Vig R (2014) A new approach for data filtering in wireless sensor networks. In: Maringanti R, Tiwari M, Arora A (eds) Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks (pp. 177–187), LNEE, Springer

  27. Munari A, Schott W, Krishnan S (2009) Energy efficient routing in mobile wireless sensor networks using mobility prediction. IEEE 34th conference in Local Computer Networks. doi: 10.1109/LCN.2009.5355180

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Authors and Affiliations

  1. U.I.A.M.S., Panjab University, Chandigarh, India, 10014

    Nidhi Gautam

  2. PEC University of Technology, Chandigarh, India, 10012

    Sanjeev Sofat

  3. U.I.E.T., Panjab University, Chandigarh, India, 10014

    Renu Vig

Authors
  1. Nidhi Gautam
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  2. Sanjeev Sofat
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  3. Renu Vig
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Correspondence to Nidhi Gautam.

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Gautam, N., Sofat, S. & Vig, R. Data collection model for energy-efficient wireless sensor networks. Ann. Telecommun. 70, 501–511 (2015). https://doi.org/10.1007/s12243-015-0471-x

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  • DOI: https://doi.org/10.1007/s12243-015-0471-x

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