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Multimedia Tools and Applications

, Volume 78, Issue 23, pp 32659–32677 | Cite as

Mobility aware multi-objective routing in wireless multimedia sensor network

  • Rachana Borawake-SataoEmail author
  • Rajesh Prasad
Article
  • 90 Downloads

Abstract

The Quality of Service (QoS) and energy efficiency are the key issues for Future Internet. Targeting multiple objectives for efficient routing is a critical and demanding task in recent applications. Due to increase in mobility applications consideration of mobility parameters for dynamic routing is necessary. The objective of this research paper is to propose the multi-objective approach for dynamic routing in Wireless Multimedia Sensor Network. Extending the adaptive routing for mobility will definitely enhance the capabilities of routing protocols for Wireless Multimedia Sensor Network. In this paper, we propose the adaptive routing protocol which is considering mobility parameter during route establishment. We are using various parameters such as Remaining Energy, Hop count, Link Quality Index and Mobility Factor for path formation. The experimentation results show that mobility parameter extension improves network performance. The technique used in this paper will enrich applications for Internet of things (IoT).

Keywords

Wireless multimedia sensor network Wireless sensor network IoT-internet of things Multi-objective routing Mobility aware routing Energy aware routing 

Notes

References

  1. 1.
    Akyildiz IF, Melodia T, Chowdhury KR (2007) A survey on wireless multimedia sensor networks. Comput Netw 51(4):921–960CrossRefGoogle Scholar
  2. 2.
    Al-Karaki JN, Kamal a E (2004) Routing techniques in wireless sensor networks: a survey. IEEE Wirel Commun 11(6):6–28CrossRefGoogle Scholar
  3. 3.
    Bharti D, Behniwal M, Sharma AK (2013) Performance analysis and mobility Management in Wireless Sensor Network. Int J Adv Res Perform Anal Mobil Manag Wirel Sens Netw 3(7):1333–1342Google Scholar
  4. 4.
    Borawake-satao R (2016) Comprehensive survey on effect of mobility over routing issues in wireless multimedia sensor networks. Int J Pervasive Comput Commun 12(4):447–465CrossRefGoogle Scholar
  5. 5.
    Borawake-satao R (2016) Priority based traffic classification for efficient routing in wireless multimedia sensor network. Conf Innov Eng Technol Kuala Lumpur, MalaysiaGoogle Scholar
  6. 6.
    Borawake-Satao RPR (2017) Mobility aware path discovery for efficient routing in wireless multimedia sensor network. Proc Int Conf Data Eng Commun Technol Adv Intell Syst Comput 469:19–30.  https://doi.org/10.1007/978-981-10-1678-3_64 CrossRefGoogle Scholar
  7. 7.
    Cheng NC (2014) A green data transmission mechanism for wireless multimedia sensor networks using information fusion. IEEE Wirel Commun: 14–19Google Scholar
  8. 8.
    Cobo L, Quintero A, Pierre S (2010) Ant-based routing for wireless multimedia sensor networks using multiple QoS metrics. Comput Netw 54(17):2991–3010CrossRefGoogle Scholar
  9. 9.
    Demigha O, Hidouci WK, Ahmed T (2017) Energy-efficient data collection under precision constraints in wireless sensor networks. Int J Sens Netw 23(1):11CrossRefGoogle Scholar
  10. 10.
    do Rosario D, Costa R, Paraense H, Machado K, Cerqueira E, Braun T (2012) A smart multi-hop hierarchical routing protocol for efficient video communication over wireless multimedia sensor networks. In: 2012 IEEE international conference on communications (ICC), pp 6530–6534CrossRefGoogle Scholar
  11. 11.
    Hara T, Nishio S (2014) Data allocation techniques for Mobile sensor networks. 2014 28th Int Conf Adv.Inf Netw Appl Work: 209–214Google Scholar
  12. 12.
    Jayashree A, Biradar GS, Mytri VD (2012) Review of multipath routing protocols in wireless multimedia sensor network – a survey 3(9): 1–9Google Scholar
  13. 13.
    Khan MI, Gansterer WN, Haring G (2013) Static vs. mobile sink: the influence of basic parameters on energy efficiency in wireless sensor networks. Comput Commun 36(9):965–978CrossRefGoogle Scholar
  14. 14.
    Li B-Y, Chuang P-J (2013) Geographic energy-aware non-interfering multipath routing for multimedia transmission in wireless sensor networks. Inf Sci (Ny) 249:24–37CrossRefGoogle Scholar
  15. 15.
    Lin K, Rodrigues JJPC, Ge H, Xiong N, Liang X (2011) Energy efficiency QoS assurance routing in wireless multimedia sensor networks. IEEE Syst J 5(4):495–505CrossRefGoogle Scholar
  16. 16.
    Medjiah S, Ahmed T, Krief F (2009) GEAMS: a geographic energy-aware multipath stream-based routing protocol for WMSNs. 2009 Glob Inf Infrastruct Symp GIIS ‘09Google Scholar
  17. 17.
    Nayyar A, Bashir F, Rehman U-U (2011) Load based energy aware multimedia routing protocol (LEAR). ICCRD2011–2011 3rd Int Conf Comput Res Dev 2:427–430CrossRefGoogle Scholar
  18. 18.
    Rezazadeh J, Moradi M, Ismail AS (2012) Mobile wireless sensor networks overview. Int J Comput Commun Netw 2(1):17–22Google Scholar
  19. 19.
    Shen H, Bai G, Tang Z, Zhao L (2014) QMOR: QoS-aware multi-sink opportunistic routing for wireless multimedia sensor networks. Wirel Pers Commun 75:1307–1330CrossRefGoogle Scholar
  20. 20.
    Shu L, Zhang Y, Yang LT, Wang Y, Hauswirth M, Xiong N (2009) TPGF: geographic routing in wireless multimedia sensor networks. Telecommun Syst 44(1–2):79–95Google Scholar
  21. 21.
    Shu L, Hara T, Nishio S, Chen Y, Hauswirth M (2011) The new challenge: mobile multimedia sensor networks. Int J Multimed Intell Secur 2(x):107Google Scholar
  22. 22.
    Silva R, Sá J, Silva NA, Joã NA, Caldeira OMLP, Rodrigues JJPC (2012) Mobile multimedia in wireless sensor networks. Int J Sens Netw 11(1):3CrossRefGoogle Scholar
  23. 23.
    Wang J, Cao J, Ji S, Park JH (2017) Energy-efficient cluster-based dynamic routes adjustment approach for wireless sensor networks with mobile sinks. J Supercomput 73(7):3277–3290CrossRefGoogle Scholar
  24. 24.
    Wang J, Cao Y, Li B, Kim HJ, Lee S (2017) Particle swarm optimization based clustering algorithm with mobile sink for WSNs. Futur Gener Comput Syst 76:452–457CrossRefGoogle Scholar
  25. 25.
    Wang J, Ju C, Gao Y, Sangaiah AK, Kim GJ (2018) A PSO based energy efficient coverage control algorithm for wireless sensor networks. CMC-Comput Mater Continua 56(3):433–446Google Scholar
  26. 26.
    Yuan X, Liu X (2001) Heuristic algorithms for multi – constrained quality of service routing. IEEE Infocom: 844–853Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Engineering, Smt. Kashibai Navale College of EngineeringSavitribai Phule Pune UniversityPuneIndia
  2. 2.Sinhgad Institute of Technology and ScienceSavitribai Phule Pune UniversityPuneIndia

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