Skip to main content

Advertisement

SpringerLink
Log in

IoT Multimedia Sensors for Energy Efficiency and Security: A Review of QoS Aware and Methods in Wireless Multimedia Sensor Networks

  • Published:
International Journal of Wireless Information Networks Aims and scope Submit manuscript

Abstract

In this era of IoT, due to the fast Advancements in sensor technology and the availability of low-cost hardware, the development of Wireless Multimedia Sensor Networks (WMSNs) has emerged. WMSNs are composed of resource constrained wireless nodes through which both the scalar data and multimedia data (i.e., audio, still images, and video) can be sensed and acquired from the environment. However, the resource constrained nature of multimedia sensing devices has made the WMSNs to face several challenges. To tackle these challenges, different authors developed different methods. In this paper, we have surveyed all such kind of methods. Initially we study about the basic architecture of multimedia senor node followed by characteristics and applications of WMSNs. Following that, we did a comprehensive survey of various methodologies, which we divided into three categories. Under the segregation, we have considered different aspects and segregated as Data Security, QoS Aware methods, and Energy Aware methods.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, Wireless sensor networks: a survey, Computer Networks, Vol. 38, pp. 393–422, 2002.

    Article  Google Scholar 

  2. R. Min, M. Bhardwaj, S. H. Cho, E. Shih, A. Sinha, A. Wang, A. Chandrakasan, E.S.A. Sinha. Low-power wireless sensor networks. In Proceedings of 14th International Conference on VLSI Design (VLSI Design 2001), Bangalore, India, 3–7 January 2001, pp. 205–210.

  3. J. N. Al-karaki and A. E. Kamal, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Communications, Vol. 11, pp. 6–28, 2004.

    Article  Google Scholar 

  4. K. Akkaya and M. A. Younis, A survey on routing protocols for wireless sensor networks, Ad Hoc Networks, Vol. 3, pp. 325–349, 2005.

    Article  Google Scholar 

  5. I. F. Akyildiz, T. Melodia and K. R. Chowdhury, A survey on wireless multimedia sensor networks, Computer Networks, Vol. 51, pp. 921–960, 2007.

    Article  Google Scholar 

  6. I. F. Akyildiz, T. Melodia and K. R. Chowdhury, Wireless multimedia sensor networks: applications and test beds, Proceedings of the IEEE, Vol. 96, No. 10, pp. 1588, 2008.

    Article  Google Scholar 

  7. B. Girod, A. Aaron, S. Rane and D. Rebollo-Monedero, Distributed video coding, Proceedings of the IEEE, Vol. 93, pp. 71–83, 2005.

    Article  MATH  Google Scholar 

  8. R. Holman, J. Stanley and T. Ozkan-Haller, Applying video sensor networks to near-shore environment monitoring, Pervasive Computing, Vol. 2, pp. 14–21, 2003.

    Article  Google Scholar 

  9. A. A. Reeves. B Remote monitoring of patients suffering from early symptoms of dementia. In Proceedings of the International Workshop Wearable Implantable Body Sensor Networks, London, 2005.

  10. F. Hu and S. Kumar, B, Multimedia query with QoS considerations for wireless sensor networks in telemedicine. In Proceedings of the Society of Photo-Optical Instrumentation Engineers-International Conference on Internet Multimedia Management Systems, Orlando, FL, 2003.

  11. J. Campbell, P. B. Gibbons, S. Nath, P. Pillai, S. Seshan, and R. Sukthankar. BIrisNet: An internet-scale architecture for multimedia sensors. In Proceedings of the ACM Multimedia Conference, 2005.

  12. P. L. Dragotti and M. Gastpar, Distributed Source Coding: Theory, Algorithms and Applications, Elsevier Inc., Amsterdam, 2009.

    Google Scholar 

  13. M. Nikzad, B. Ali and K. Jamshidi, Video quality analysis of distributed video coding in wireless multimedia sensor networks, J. Information Technology and Computer Science, Vol. 01, pp. 12–20, 2015.

    Google Scholar 

  14. P. Wang, R. Dai and I. F. Akyildiz, A spatial correlation-based image compression framework for wireless multimedia sensor networks, IEEE Transactions on Multimedia, Vol. 13, pp. 388–401, 2011.

    Article  Google Scholar 

  15. W. Liu, K. R. Vijayanagar and J. Kim, Low-complexity distributed multiple description coding for wireless video sensor networks, IET Wireless Sensor Systems, Vol. 3, pp. 205–215, 2013.

    Article  Google Scholar 

  16. X. Liu, K. Zhao, X. Zhou, and H. Huang. The study of Wyner-Ziv image compression algorithm using in WMSNs. In International Conference on Communications and Mobile Computing, Shenzhen, China, 2010.

  17. H. Yang, L. Qing, X. He and X. Ou, Robust distributed video coding for wireless multimedia sensor networks, Multimedia Tools and Applications, Vol. 77, No. 4, pp. 4453, 2017.

    Article  Google Scholar 

  18. Q. Xu, V. Stankovic and Z. Xiong, Layered Wyner-Ziv video coding for transmission over unreliable channels, Proceedings of SPIE The International Society for Optical Engineering, Vol. 86, No. 11, pp. 3212–3225, 2006.

    MATH  Google Scholar 

  19. X. Zhu, Y. Liu and L. Zhang, Distributed joint source-channel coding in wireless sensor networks, Sensors, Vol. 9, No. 6, pp. 4901–4917, 2009.

    Article  Google Scholar 

  20. B. Furht (ed.), Encyclopedia of Multimedia, 2 edn,Springer, New York, NY, 2008.

    Google Scholar 

  21. Y. Wu, E.Y. Chang, K.C.C. Chang, J. R. Simith. Optimal multimodal fusion for multimedia data analysis. In Proceedings of the 12th Annual ACM International Conference on Multimedia, New York, NY, pp. 572–579, 2004.

  22. S. A. Sert, A. Yazici, and A. Cosar. Data fusion and processing in wireless multimedia sensor networks: an analysis for surveillance applications. In 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey, 2014. (“Prof.Dr. AHMET COŞAR | AVESİS”).

  23. S. H. Ou, C. H. Lee, S. Somayazulu, Y. K. Chen and S. Y. Chien, On-line multi-view video summarization for wireless video sensor network, IEEE Journal of Selected Topics in Signal Processing, Vol. 9, pp. 165–179, 2015.

    Article  Google Scholar 

  24. T. Jbeily, I. Hatem, M. Alkubeily and Y. Challal, Simple On-Line Single-View Video Summarization for Machine-to-Machine Wireless Multimedia Sensor Network, Springer, Berlin, 2019.

    Book  Google Scholar 

  25. M. Koyuncu, et al., Visual and auditory data fusion for energy-efficient and improved object recognition in wireless multimedia sensor networks, IEEE Sensors Journal, Vol. 19, No. 5, pp. 1839, 2019.

    Article  Google Scholar 

  26. A. Yazici, M. Koyuncu, S. A. Sert and T. Yilmaz, A fusion-based framework for wireless multimedia sensor networks in surveillance applications, IEEE Access, Vol. 7, pp. 88418–88434, 2019.

    Article  Google Scholar 

  27. R Gao, Y Wen, and H Zhao. A novel data fusion method in wireless multimedia sensor networks. In IEEE European Modelling Symposium, 2015.

  28. Y. Fu, Y. Guo, Y. Zhu, F. Liu, C. Song and Z.-H. Zhou, Multi view video summarization, IEEE Transactions on Multimedia, Vol. 12, No. 7, pp. 717–729, 2010.

    Article  Google Scholar 

  29. S. Colonnese, F. Cuomo and T. Melodia, An empirical model of multi-view video coding efficiency for wireless multimedia sensor networks, IEEE Transactions on Multimedia, Vol. 15, No. 8, pp. 1800, 2013.

    Article  Google Scholar 

  30. R. Dai and I. F. Akyildiz, A spatial correlation model for visual information in wireless multimedia sensor networks, IEEE Transactions on Multimedia, Vol. 11, No. 6, pp. 1148–1159, 2009.

    Article  Google Scholar 

  31. S. Colonnese, F. Cuomo, and T. Melodia. Leveraging multi-view video coding in clustered multimedia sensor networks. In Proceedings of the IEEE Globecom, pp. 1–6, 2012.

  32. M. A. Mahmood, W. K. Seah and I. Welch, Reliability in wireless sensor networks: a survey and challenges ahead, Computer Networks, Vol. 76, pp. 166–187, 2015.

    Article  Google Scholar 

  33. J. K. Sundararajan, D. Shah, M. Médard, S. Jakubczak, M. Mitzenmacher and J. Barros, Network coding meets TCP: theory and implementation, Proceedings of the IEEE, Vol. 99, pp. 490–512, 2011.

    Article  Google Scholar 

  34. M. Y. Naderi, H. R. Rabiee, M. Khansari and M. Salehi, Error control for multimedia communications in wireless sensor networks: a comparative performance analysis, Ad Hoc Networks, Vol. 10, pp. 1028–1042, 2012.

    Article  Google Scholar 

  35. M. Chen, V. C. M. Leung, S. Mao and Y. Yuan, Directional geographical routing for real-time video communications in wireless sensor networks, Computer Communications, Vol. 30, No. 17, pp. 3368–3383, 2007.

    Article  Google Scholar 

  36. Y. Wang and A. Katsaggelos, Error resilient video coding techniques, IEEE Signal Processing Magazine, Vol. 17, No. 4, pp. 61–82, 2000.

    Article  Google Scholar 

  37. R. Mohammadi and A. Gaffari, Optimizing reliability through network coding in wireless multimedia sensor networks, Indian Journal of Science and Technology, Vol. 8, No. 9, pp. 834, 2015.

    Article  Google Scholar 

  38. P. Chau, J. Shin and J. (Paul) Jeong, Distributed systematic network coding for reliable content uploading in wireless multimedia sensor networks, Sensors, Vol. 2018, pp. 18, 1824. https://doi.org/10.3390/s18061824.

  39. B. Sarvi, H. R. Rabiee and K. Mizanian, An adaptive cross-layer error control protocol for wireless multimedia sensor networks, Ad Hoc Networks, Vol. 56, pp. 173–185, 2017.

    Article  Google Scholar 

  40. R. Jian, Y. Chen, Z. Liu, et al., Energy-efficiency optimization for multi-user multi-stream massive MIMO hybrid precoding, International Journal of Wireless Information Networks, Vol. 28, pp. 319–331, 2021. https://doi.org/10.1007/s10776-021-00524-9.

    Article  Google Scholar 

  41. S. Borade, B. Nakiboğlu, L. Zheng. Unequal error protection: an information theoretic perspective. https://arXiv.org/0803.2570v4. Accessed 25 Oct 2009.

  42. M. M. A. Pritom, S. Sarker, M. A. Razzaque, M. M. Hassan, M. A. Hossain and A. A. Alelaiwi, Multi-constrained QoS aware MAC protocol for cluster-based cognitive radio sensor networks, International Journal of Distributed Sensor Networks, Vol. 11, pp. 262871, 2015.

    Article  Google Scholar 

  43. A. A. Mahamune and M. M. Chandane, An efficient trust-based routing scheme against malicious communication in MANET, International Journal of Wireless Information Networks, Vol. 28, pp. 344–361, 2021. https://doi.org/10.1007/s10776-021-00523-w.

    Article  Google Scholar 

  44. T. AlSkaif, B. Bellalta, M. G. Zapata and J. M. B. Ordinas, Energy efficiency of MAC protocols in low data rate wireless multimedia sensor networks: a comparative study, Ad Hoc Networks, Vol. 56, pp. 141–157, 2017.

    Article  Google Scholar 

  45. N. Saxena, A. Roy and J. Shin, Dynamic duty cycle and adaptive contention window based QoS-MAC protocol for wireless multimedia sensor networks, Computer Networks, Vol. 52, No. 13, pp. 2532–2542, 2008.

    Article  MATH  Google Scholar 

  46. M. A. Yigitel, O. D. Incel and C. Ersoy, Design and implementation of a QoS aware MAC protocol for wireless multimedia sensor networks, Computer Communications, Vol. 34, pp. 1991–2001, 2011.

    Article  Google Scholar 

  47. O. Farrag, M. Younis, W. D'Amico. MAC Support for Wireless Multimedia Sensor Networks. In IEEE Global Telecommunications Conference, Honolulu, HI, 2009.

  48. L. Wei and Z. Longmei, A novel multi-channel MAC protocol for cluster based wireless multimedia sensor networks, Physics Procedia, Vol. 25, pp. 2203–2210, 2012.

    Article  Google Scholar 

  49. M. L. Fredman and D. E. Willard, Trans-dichotomous algorithms for minimum spanning trees and shortest paths, Journal of Computer and System Sciences, Vol. 48, No. 3, pp. 533–551, 1994.

    Article  MathSciNet  MATH  Google Scholar 

  50. C. Li, P. Wang, H. H. Chen, and M. Guizani. A cluster based on-demand multi-channel MAC protocol for wireless multimedia sensor networks. In Proceedings of IEEE International Conference on Communications, ICC 2008, Beijing, China.

  51. Y. Ozen and C. Bayilmis, urgMAC: a new traffic and QoS-aware cross-layer MAC protocol for wireless multimedia sensor networks, The Computer Journal, Vol. 61, No. 10, pp. 1460–1467, 2018.

    Article  Google Scholar 

  52. C. B. Margi, V. Petkov, K. Obraczka, R. Manduchi. Characterizing energy consumption in a visual sensor network testbed. In TRIDENTCOM 2006, Barcelona, Spain, 2006.

  53. S. Soro and W. Heinzelman, A survey of visual sensor networks, Advances in Multimedia., 2009. https://doi.org/10.1155/2009/640386.

    Article  Google Scholar 

  54. A. Pinto, Z. Zhang, X. Dong, S. Velipasalar, M. C. Vuran, M. C. Gursoy. Energy consumption and latency analysis for wireless multimedia sensor networks. In GLOBECOM 2010, Miami, FL, pp. 1–5, 2010.

  55. C. Yeo and K. Ramchandran, Robust distributed multi-view video compression for wireless camera networks, IEEE Transactions on Image Processing, Vol. 19, pp. 995–1008, 2010.

    Article  MathSciNet  MATH  Google Scholar 

  56. Q. Lu, W. Luo, J. Wang and B. Chen, Low-complexity and energy efficient image compression scheme for wireless sensor networks, Computer Networks, Vol. 52, pp. 2594–2603, 2008.

    Article  MATH  Google Scholar 

  57. M. Wu and C. W. Chen, Collaborative image coding and transmission over wireless sensor networks, EURASIP Journal on Advances in Signal Processing, Vol. 2007, pp. 1–9, 2007.

    MATH  Google Scholar 

  58. W. Wang, D. Peng, H. Wang, H. Sharif and H. H. Chen, Energy constrained distortion reduction optimization for wavelet based coded image transmission in wireless sensor networks, IEEE Transactions on Multimedia, Vol. 10, pp. 1169–1180, 2008.

    Article  Google Scholar 

  59. O. Alaoui-Fdili, Y. Fakhri, P. Corlay, F.-X. Coudoux, D. Aboutajdine. Energy consumption analysis and modelling of a H.264/AVC intra-only based encoder dedicated to WVSNS. In ICIP 2014, pp. 1189–1193.

  60. J. Zou, H. Xiong, C. Li, R. Zhang and Z. He, Lifetime and distortion optimization with joint source/channel rate adaptation and network coding-based error control in wireless video sensor networks, IEEE Transactions on Vehicular Technology, Vol. 60, pp. 1182–1194, 2011.

    Article  Google Scholar 

  61. N. Khernane, J. Couchot, A. Mostefaoui. Joint Routing/encoding-power for network lifetime maximization in WVSN. In Wireless Communications and Networking Conference, Apr 2018, Barcelona, Spain. ffhal-02382617.

  62. A. Hassan, A. Anter and M. Kayed, A survey on extending the lifetime for wireless sensor networks in real-time applications, International Journal of Wireless Information Networks, Vol. 28, pp. 77–103, 2021. https://doi.org/10.1007/s10776-020-00502-7.

    Article  Google Scholar 

  63. M. E. Ekpenyong, D. E. Asuquo and I. J. Umoren, Evolutionary optimisation of energy-efficient communication in wireless sensor networks, International Journal of Wireless Information Networks, Vol. 26, pp. 344–366, 2019. https://doi.org/10.1007/s10776-019-00450-x.

    Article  Google Scholar 

  64. P. Spachos, D. Toumpakaris, and D. Hatzinakos, QoS and energy-aware dynamic routing in wireless multimedia sensor networks. In ICC, London, UK, pp. 6935–6940, 2015.

  65. S. Aswale and V. R. Gorpade, LEQAR: link quality and energy aware routing for wireless multimedia sensor networks, Wireless Personal Communications, Vol. 97, pp. 1291–1304, 2017.

    Article  Google Scholar 

  66. S. Aswale, and V. R Gorpade, Reliable and energy-aware routing in Wireless Multimedia Sensor Network. In International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017.

  67. L. Shu, Y. Zhang, Z. Yu, L. T. Yang, M. Hauswirth and N. Xiong, Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks, The Journal of Supercomputing, Vol. 54, No. 1, pp. 94–121, 2010.

    Article  Google Scholar 

  68. I. Bennis, O. Zytoune, D. Aboutajdine, and H. Fouchal, Low energy geographical routing protocol for wireless multimedia sensor networks." (“LQEAR: Link Quality and Energy-Aware Routing for Wireless ...”). In Proceedings of the 9th international wireless communications and mobile computing conference (IWCMC), Sardinia, Italy, 1–5 July 2013, pp. 585–589, 2013.

  69. D. Kandris, M. Tsagkaropoulos, I. Politis, A. Tzes and S. Kotsopoulos, Energy efficient and perceived QoS aware video routing over wireless multimedia sensor networks, Ad Hoc Networks, Vol. 9, pp. 591–607, 2011.

    Article  Google Scholar 

  70. D. Wang, J. Liu and D. Yao, An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks, Computer Networks, Vol. 178, pp. 107313, 2020.

    Article  Google Scholar 

  71. M. A. Koulali, A. Kobbane, M. E. Koutbi, H. Tembine and J. Ben-Othman, Dynamic power control for energy harvesting in wireless multimedia sensor networks, EURASIP Journal on Wireless Communications and Networking, 2012. https://doi.org/10.1186/1687-1499-2012-158.

    Article  Google Scholar 

  72. S. Li, J. G. Kim, D. H. Han and K. S. Lee, A survey of energy-efficient communication protocols with QoS guarantees in wireless multimedia sensor networks, Sensors, Vol. 19, pp. 199, 2019.

    Article  Google Scholar 

  73. A. Fallahi and E. Hossain, QoS provisioning in wireless video sensor networks: a dynamic power management framework, IEEE Wireless Communication, Vol. 14, pp. 40–49, 2007.

    Article  Google Scholar 

  74. A. Fallahi and E. Hossain, A dynamic programming approach for QoS-aware power management in wireless video sensor networks, IEEE Transactions on Vehicular Technology, Vol. 58, pp. 843–854, 2009.

    Article  Google Scholar 

  75. S. Liu, Energy-saving optimization and matlab simulation of wireless networks based on clustered multi-hop routing algorithm, International Journal of Wireless Information Networks, Vol. 27, pp. 280–288, 2020. https://doi.org/10.1007/s10776-019-00448-5.

    Article  Google Scholar 

  76. A. Genta, D. K. Lobiyal and J. Abawajy, Energy efficient multipath routing algorithm for wireless multimedia sensor network, Sensors, Vol. 19, No. 17, pp. 1–21, 2019.

    Article  Google Scholar 

  77. M. A. Habib and S. Moh, Robust evolutionary-game-based routing for wireless multimedia sensor networks, Sensors, Vol. 19, pp. 3544, 2019.

    Article  Google Scholar 

  78. R. Gupta, Elliptic curve cryptography based secure image transmission in clustered wireless sensor networks, International Journal of Computer Networks and Applications., Vol. 8, No. 1, pp. 67–78, 2021.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, India

    M. A. Matheen & S. Sundar

  2. Vellore, India

    S. Sundar

Authors
  1. M. A. Matheen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Sundar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Sundar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Matheen, M.A., Sundar, S. IoT Multimedia Sensors for Energy Efficiency and Security: A Review of QoS Aware and Methods in Wireless Multimedia Sensor Networks. Int J Wireless Inf Networks 29, 407–418 (2022). https://doi.org/10.1007/s10776-022-00567-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10776-022-00567-6

Keywords

Search

Navigation