Improving reporting delay and lifetime of a WSN using controlled mobile sinks

Original Research
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Abstract

Wireless sensor networks (WSNs) are characterized by many to one traffic pattern, where a large number of nodes communicate their sensed data to the sink node. Due to heavy data traffic near the sink node, the nodes closer to sink node tends to exhaust their energy faster compared to those nodes which are situated away from the sink. This may lead to the fragment of a network due to the early demise of sensor nodes situated closer to the sink. To pacify this problem, mobile sinks are proposed for WSNs. Mobile sinks are capable to provide uniform energy consumption, load distribution, low reporting delay and quick data delivery paths. However, the position of the mobile sink needs to be updated regularly as such position update messages may reduce the network lifetime. In this paper, we propose a novel Location Aware Routing for Controlled Mobile Sinks (LARCMS), which will help in minimizing reporting delay, enhancing network lifetime, handling sink position updates and providing uniform energy consumption. The proposed technique uses two mobile sinks in predefined trajectory for data collection and provides better results compared to existing techniques. The performance of LARCMS is evaluated by comparing with similar mobile sink routing protocols through extensive simulations in MATLAB.

Keywords

Mobile sink Network lifetime Reporting delay Wireless sensor networks 

Notes

References

  1. Akkaya K, Younis M (2005) A survey on routing protocols for wireless sensor networks. Ad hoc Netw 3(3):325–349CrossRefGoogle Scholar
  2. Akkaya K, Younis M, Youssef W (2007) Positioning of base stations in wireless sensor networks. IEEE Commun Mag 45(4):96–102CrossRefGoogle Scholar
  3. Ang KLM, Seng JKP, Zungeru AM (2017) Optimizing energy consumption for big data collection in large-scale wireless sensor networks with mobile collectors. IEEE Syst JGoogle Scholar
  4. Chang JY, Shen TH (2016) An efficient tree-based power saving scheme for wireless sensor networks with mobile sink. IEEE Sens J 16(20):7545–7557CrossRefGoogle Scholar
  5. Gu Y, Ren F, Ji Y, Li J (2016) The evolution of sink mobility management in wireless sensor networks: a survey. IEEE Commun Surv Tutor 18(1):507–524CrossRefGoogle Scholar
  6. Hamida EB, Chelius G (2008) A line-based data dissemination protocol for wireless sensor networks with mobile sink. In: IEEE international conference on communications, 19–23 May 2008, Beijing, China, pp 2201–2205Google Scholar
  7. Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wirel Commun 1(4):660–670CrossRefGoogle Scholar
  8. Kumar V, Kumar A (2018) Improved network lifetime and avoidance of uneven energy consumption using load factor. J Ambient Intell Hum Comput.  https://doi.org/10.1007/s12652-018-0857-5 Google Scholar
  9. Kweon K, Ghim H, Hong J, Yoon H (2009) Grid-based energy-efficient routing from multiple sources to multiple mobile sinks in wireless sensor networks. In: 4th international symposium on Wireless pervasive computing (ISWPC), 11–13 Feb, 2009, Melbourne, VIC, Australia, pp 1–5Google Scholar
  10. Lin CJ, Chou PL, Chou CF (2006) HCDD: hierarchical cluster-based data dissemination in wireless sensor networks with mobile sink. In: Proceedings of international conference on wireless communications and mobile computing, 03–06 Jul 2006, Vancouver, Canada, pp 1189–1194Google Scholar
  11. Lu JL, Valois F (2007) On the data dissemination in wsns. In: Third IEEE international conference on wireless and mobile computing, networking and communications, 08–10 Oct 2007, White Plains, New York, USA, pp 58–58Google Scholar
  12. Sharma G, Kumar A (2017) Modified energy-efficient range-free localization using teaching–learning-based optimization for wireless sensor networks. IETE J Res 64:1–15CrossRefGoogle Scholar
  13. Shin JH, Kim J, Park K, Park D (2005) Railroad: virtual infrastructure for data dissemination in wireless sensor networks. In: Proceedings of 2nd ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, 10–13 Oct 2005, Montreal, Canada, pp 168–174Google Scholar
  14. Suh B, Berber S (2015) Rendezvous points and routing path-selection strategies for wireless sensor networks with mobile sink. Electron Lett 52(2):167–169CrossRefGoogle Scholar
  15. Tunca C, Isik S, Donmez MY, Ersoy C (2014) Distributed mobile sink routing for wireless sensor networks: a survey. IEEE Commun Surv Tutor 16(2):877–897CrossRefGoogle Scholar
  16. Tunca C, Isik S, Donmez MY, Ersoy C (2015) Ring routing: an energy-efficient routing protocol for wireless sensor networks with a mobile sink. IEEE Trans Mob Comput 14(9):1947–1960CrossRefGoogle Scholar
  17. Wang CF, Shih JD, Pan BH, Wu TY (2014) A network lifetime enhancement method for sink relocation and its analysis in wireless sensor networks. IEEE Sens J 14(6):1932–1943CrossRefGoogle Scholar
  18. Xie G, Pan F (2016) Cluster-based routing for the mobile sink in wireless sensor networks with obstacles. IEEE Access 4:2019–2028CrossRefGoogle Scholar
  19. Yang S, Adeel U, Tahir Y, McCann JA (2017) Practical opportunistic data collection in wireless sensor networks with mobile sinks. IEEE Trans Mob Comput 16(5):1420–1433CrossRefGoogle Scholar
  20. Ye F, Luo H, Cheng J, Lu S, Zhang L (2002) A two-tier data dissemination model for large-scale wireless sensor networks. In: Proceedings of the 8th annual international conference on Mobile computing and networking, 23–28 Sep 2002, New Atlanta, GA, USA, pp 148–159Google Scholar
  21. Yun Y, Xia Y (2010) Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications. IEEE Trans Mob Comput 9(9):1308–1318CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electronics and CommunicationNational Institute of TechnologyHamirpurIndia

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