Skip to main content
SpringerLink
Log in

Image transmission in mobile wireless multimedia sensor networks using cat swarm optimization

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

High-quality picture transmission over intelligent devices in Mobile Multimedia Sensor Networks (MWMSN) requires fast transmission rates, throughput, and a low Bit Error Rate (BER). Energy efficiency is always a top priority for battery-powered intelligent devices like smartphones and tablets. The Multiple Input and Multiple Output (MIMO) technology is extensively used in MWMSN with cooperative communication (CC). In order to increase the effectiveness of multimedia sensor networks, diverse network techniques are driven by cooperative communications because these systems are more likely to be built with traditional limited resources and scattered hardware. Since each node in the network is mobile, energy consumption and routing pose significant problems for cooperative mobile multimedia sensor networks. An optimisation model is developed to select the minimum number of multi-hops between the source and destination for the cooperative MWMSN network to address these challenges. This paper adopts a new Modified Cat Swarm Optimisation (MCSO) to solve a multi-objective function involving target throughput, mobility, energy consumption and outage probability. The simulation shows that the proposed approach has achieved better performance against state-of-art approaches regarding aggregate throughput, peak signal-to-noise ratio and structural similarity index.

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
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Datasets used in this article are available on reasonable request.

References

  1. Abazeed M, Faisal N, Ali A (2019) Cross-layer multipath routing scheme for wireless multimedia sensor network. Wireless Netw 25(8):4887–4901

    Google Scholar 

  2. Abbas ST, Mohammed HJ, Ahmed JS, Rasheed AS, Alhayani B, Alkhayyat A (2023) The optimization efficient energy cooperative communication image transmission over WSN. Appl Nanosci 13(1):1665–1677

    Google Scholar 

  3. Abdulhadi S, Jaseemuddin M, Anpalagan A (2012) A Survey of Distributed Relay Selection Schemes in Cooperative Wireless Ad hoc Networks. Wireless Pers Commun 63:917–935

    Google Scholar 

  4. Achour I, Alfayez F, Busson A (2021) A robust and efficient adaptive data dissemination protocol based on smart relay selection in vehicular networks. Wireless Netw 27:4497–4511

    Google Scholar 

  5. Adam H, Yanmaz E, Bettstetter C (2014) Medium Access with Adaptive Relay Selection in Cooperative Wireless Networks. IEEE Trans Mob Comput 13(9):2042–2057

    Google Scholar 

  6. Akyildiz F, Melodia T, Chowdhury KR (2007) A survey on wireless multimedia sensor networks. Comput Netw 51(4):921–960

    Google Scholar 

  7. Al Hayani B, Ilhan H (2020) Image transmission over decode and forward based cooperative wireless multimedia sensor networks for Rayleigh fading channels in medical Internet of Things (MIoT) for remote health-care and health communication monitoring. J Med Imag Health Informat 10(1):160–168

    Google Scholar 

  8. Ayse Ipek A, Ilhan H, Ozdemir O (2015) Relay selection for DF-based cooperative vehicular systems. EURASIP J Wireless Commun Netw 30(2015):1–9

  9. Borawake-Satao R, Prasad R (2019) Mobility aware multi-objective routing in wireless multimedia sensor network. Multimedia Tools Appl 78(23):32659–32677

    Google Scholar 

  10. Bouchemel A, Abed D, Moussaoui A (2018) Enhancement of compressed image transmission in WMSNs using modified µ-Nonlinear transformation. IEEE Commun Lett 22(5):934–937

    Google Scholar 

  11. Bouzidi A (2019) Mohammed Essaid Riffi, and Mohammed Barkatou, “Cat swarm optimization for solving the open shop scheduling problem. J Indust Eng Int 15:367–378

    Google Scholar 

  12. Cui Z, Zhang M, Cao Z, Cao C (2019) Image data augmentation for SAR sensor via generative adversarial nets. IEEE Access 7:42255–42268

    Google Scholar 

  13. Devulapalli PK, Maganti SB, Gae SK, Rachapogula S (2022) Optimal Relay Selection Strategy for Energy-Efficient Cooperative Multi-Hop Image Transmission in Wireless Multimedia Sensor Network. Cybernetics and Systems, pp 1–24

  14. Dong L, Han Z, Petropulu AP, Poor HV (2010) Improving wireless physical layer security via cooperating relays. IEEE Trans Signal Process 58(3):1875–1888

    MathSciNet  Google Scholar 

  15. El Alami H, Najid A (2019) ECH: An enhanced clustering hierarchy approach to maximize lifetime of wireless sensor networks. IEEE Access 7:107142–107153

    Google Scholar 

  16. Feng H, Xiao Y, Cimini LJ (2014) Net Throughput of Centralized and Decentralized Cooperative Networks With Relay Selection. IEEE Wireless Communications Letters 3(5):477–480

    Google Scholar 

  17. Guo WZ, Chen JY, Chen GL, Zheng HF (2015) Trust dynamic task allocation algorithm with Nash equilibrium for heterogeneous wireless sensor network. Secur Commun Netw 8(10):1865–1877

    Google Scholar 

  18. Guo W, Li J, Chen G, Niu Y, Chen C (2015) A PSO-optimized real-time fault-tolerant task allocation algorithm in wireless sensor networks. IEEE Trans Parallel Distrib Syst 26(12):3236–3249

    Google Scholar 

  19. Guo Y, Zhang Y, Mi Z, Yang Y, Obaidat MS (2019) Distributed task allocation algorithm based on connected dominating set for WSANs. Ad Hoc Netw 89:107–118

    Google Scholar 

  20. Hayani BA, Ilhan H (2020) Efficient cooperative image transmission in one-way multi-hop sensor network. Int J Electr Eng Educ 57(4):321–339

    Google Scholar 

  21. Heinzelman WR, Chandrakasan A, Balakrishnan A (2000) Energy efficient communication protocol for wireless microsensor networks. In Proc 33rd Annu Hawaii Int Conf Syst Sci, pp 110

  22. Huang W, Alem L, Tecchia F, Duh HBL (2018) Augmented 3D hands: a gesture-based mixed reality system for distributed collaboration. J Multimodal User Interfaces 12(2):77–89

    Google Scholar 

  23. Indumathi K, Hemalatha R, Nandhini SA, Radha S (2017) Intelligent plant disease detection system using wireless multimedia sensor networks. In Proc Int Conf Wireless Commun, Signal Process Netw (WiSPNET), pp 1607–1611

  24. Jin Y, Li R, Dai H, Zhang J (2015) QoS guarantee protocol based on combination of opportunistic dynamic cloud service and cooperative multimedia stream for wireless sensor networks. EURASIP J Wireless Commun Netw 2015(1):166

    Google Scholar 

  25. Kandris D, Tsagkaropoulos M, Politis I, Tzes A, Kotsopoulos S (2011) Energy efcient and perceived QoS aware video routing over wireless multimedia sensor networks. Ad Hoc Netw 9(4):591–607

    Google Scholar 

  26. Kim S, Billinghurst M, Lee G (2018) The effect of collaboration styles and view independence on video-mediated remote collaboration. Comput Support Coop Work (CSCW) 27(3):569–607

    Google Scholar 

  27. Kong F, Zhou Y, Chen G (2019) Multimedia data fusion method based on wireless sensor network in intelligent transportation system. Multimedia Tools Appl 4:1–13

    Google Scholar 

  28. Krikidis I, Thompson JS, McLaughlin S (2008) Relay selection for secure cooperative networks with jamming. IEEE Trans Wireless Commun 8(10):5003–5011

    Google Scholar 

  29. Kumar Devulapalli P, Pokkunuri PS, Babu MS, Rachapogula S (2022) Energy Aware Cooperative Image Transmission for Multi-Radio Multi-Hop Wireless Sensor Networks. Int J Intell Eng Syst 15(4)

  30. Lee J-S, Teng C-L (2017) An enhanced hierarchical clustering approach for mobile sensor networks using fuzzy inference systems. IEEE Internet Things J 4(4):1095–1103

    Google Scholar 

  31. Li S, Kim JG, Han DH, Lee KS (2019) A survey of energy efficient communication protocols with QoS guarantees in wireless multimedia sensor networks. Sensors 19(1):199

    Google Scholar 

  32. Li J, Petropulu AP, Weber S (2011) On cooperative relaying schemes for wireless physical layer security. IEEE Trans Signal Process 59(10):4985–4997

    MathSciNet  Google Scholar 

  33. Zhou L, Huang T, Guan C (2019) Wireless multimedia sensor network for rape disease detections. EURASIP J Wirel Commun Netw 2019(2019):1–10

  34. Liu T, Sun L, Chen R, Shu F, Zhou X, Han Z (2019) Martingale theory based optimal task allocation in heterogeneous vehicular networks. IEEE Access 7:122354–122366

    Google Scholar 

  35. Ma N (2019) Distributed video coding scheme of multimedia data compression algorithm for wireless sensor networks. EURASIP J Wireless Commun Netw 2019(1):254

    Google Scholar 

  36. Ma B, Shah-Mansouri H, Wong V (2016) Multimedia content delivery in millimeter wave home networks. IEEE Trans Wireless Commun 15(7):4826–4838

    Google Scholar 

  37. Margi CB, Petkov V, Obraczka K, Manduchi R (2006) Characterizing energy consumption in a visual sensor network testbed. In Proc 2nd Int Conf Testbeds Res Infrastruct Develop Netw Communities TRIDENT-COM, pp 158170

  38. Nam E, Jang C, Lee JH (2015) Performance of Reactive Relay Selection Based on Cumulative Distribution Function of SNRs for Two-Way Relay Networks. IEEE Commun Lett 19(8):1378–1381

    Google Scholar 

  39. Nandhini SA, Radha S (2017) Efficient compressed sensing-based security approach for video surveillance application in wireless multimedia sensor networks. Comput Electr Eng 60:175–192

    Google Scholar 

  40. Nguyen BV, Afolabi RO, Kim K (2013) Dependence of Outage Probability of Cooperative Systems with Single Relay Selection on Channel Correlation. IEEE Commun Lett 17(11):2060–2063

    Google Scholar 

  41. Okeke GO, Krzymień WA, Jing Y, Melzer J (2015) A Novel Low-Complexity Joint User-Relay Selection and Association for Multi-User Multi-Relay MIMO Uplink. IEEE Wireless Commun Lett 4(3):309–312

    Google Scholar 

  42. Redondi A, Cesana M, Tagliasacchi M, Filippini I, Dán G, Fodor V (2015) Cooperative image analysis in visual sensor networks. Ad Hoc Netw 28:38–51

    Google Scholar 

  43. Sheng Z, Mahapatra C, Leung VCM, Chen M, Sahu PK (2018) Energy efcient cooperative computing in mobile wireless sensor networks. IEEE Trans Cloud Comput 6(1):114–126

    Google Scholar 

  44. Sheu T-L, Shang Y-Y (2014) Pipelined forwarding with energy balance in hexagonal wireless sensor networks. Wireless Commun Mobile Comput 14(18):1720–1731

    Google Scholar 

  45. Song Y, Shin H, Paek J (2019) Lightweight server-assisted H-K compression for image-based embedded wireless sensor network. IEEE Syst J 13(2):1386–1396

    Google Scholar 

  46. Su Y, Lu X, Zhao Y, Huang L, Du X (2019) Cooperative Communications With Relay Selection Based on Deep Reinforcement Learning in Wireless Sensor Networks. IEEE Sens J 19(20):9561–9569

    Google Scholar 

  47. Sun F, Hou F, Cheng N, Wang M, Zhou H, Gui L, Shen X (2018) Cooperative task scheduling for computation ofoading in vehicular cloud. IEEE Trans Veh Technol 67(11):11049–11061

    Google Scholar 

  48. Tang L, Li Q, Li L, Gu K, Qian J (2018) Training-free referenceless camera image blur assessment via hypercomplex singular value decomposition. Multimedia Tools Appl 77(5):5637–5658

    Google Scholar 

  49. Tian Y, Ekici E, Ozguner F (2005) Energy-constrained task mapping and scheduling in wireless sensor networks, in Proc IEEE Int Conf Mobile Adhoc Sensor Syst Conf, pp 211–218

  50. Wang F, Han G, Jiang J, Li W, Shu L (2015) A task allocation algorithm based on score incentive mechanism for wireless sensor networks. Int J Distrib Sensor Netw 11(8):286589

    Google Scholar 

  51. Wang W, Teh KC, Li KH (2016) Generalized Relay Selection for Improved Security in Cooperative DF Relay Networks. IEEE Wireless Communications Letters 5(1):28–31

    Google Scholar 

  52. Wu CM, Zheng HK, Wang YJ, Fu R (2018) A Image Compression Algorithm Based on Multi-Node Cooperation in Wireless Multimedia Sensor Networks. Trans Beijing Inst Technol 38(5):545–550

    Google Scholar 

  53. Xia M, Aïssa S (2015) Fundamental Relations between Reactive and Proactive Relay-Selection Strategies. IEEE Commun Lett 19(7):1249–1252

    Google Scholar 

  54. Xu H, Huang L, Qiao C, Zhang Y, Sun Q (2012) Bandwidth-power aware cooperative multipath routing for wireless multimedia sensor networks. IEEE Trans Wireless Commun 11(4):1532–1543

    Google Scholar 

  55. Yang X, Chen P, Gao S, Niu Q (2018) CSI-based low-duty-cycle wireless multimedia sensor network for security monitoring. Electron Lett 54(5):323–324

    Google Scholar 

  56. Yang M, Guo D, Huang Y, Duong TQ, Zhang B (2016) Physical layer security with threshold-based multiuser scheduling in multi-antenna wireless networks. IEEE Trans Commun 64(12):5189–5202

    Google Scholar 

  57. Yang H, Qing L, He X, Ou X, Liu X (2018) Robust distributed video coding for wireless multimedia sensor networks. Multimedia Tools Appl 77(4):4453–4475

    Google Scholar 

  58. Yu W, Huang Y, Garcia-Ortiz A (2019) Optimal task allocation algorithms for energy constrained multihop wireless networks. IEEE Sensors J 19(17):7744–7754

    Google Scholar 

  59. Yu Z, Lu B (2019) A multipath routing protocol using congestion control in wireless multimedia sensor networks. Peer-to-Peer Netw Appl 12(6):1585–1593

    Google Scholar 

  60. Zhang L, Cimini LJ Jr (2007) Power-Efficient Relay Selection in Cooperative Networks Using Decentralized Distributed Space-Time Block Coding. EURASIP J Adv Signal Process 2008:362809

    Google Scholar 

  61. Zhao D, Zhao H, Jia M, Xiang W (2014) Smart Relaying for Selection Combining Based Decode-and-Forward Cooperative Networks. IEEE Commun Lett 18(1):74–77

    Google Scholar 

  62. Zheng Z, Fu S, Lu K, Wang J, Chen B (2012) On the relay selection for cooperative wireless networks with physical-layer network coding. Wireless Netw 18:653–665

    Google Scholar 

  63. Zhu X, Jiang C, Yin L, Kuang L, Ge N, Lu J (2018) Cooperative multigroup multicast transmission in integrated terrestrial-satellite networks. IEEE J Sel Areas Commun 36(5):981–992

    Google Scholar 

  64. Zhu C, Tao J, Pastor G, Xiao Y, Ji Y, Zhou Q, Li Y, Yla-Jaaski A (2019) Folo: Latency and quality optimized task allocation in vehicular fog computing. IEEE Internet Things J 6(3):4150–4161

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India

    Praveen Kumar Devulapalli, Satish Kumar G.A.E. & Sumalatha Rachapogula

  2. Department of Electronics and Communication Engineering, Matrusri Engineering College, Hyderabad, Telangana, India

    Sushanth Babu Maganti

Authors
  1. Praveen Kumar Devulapalli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Satish Kumar G.A.E.
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sushanth Babu Maganti
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sumalatha Rachapogula
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Praveen Kumar Devulapalli or Satish Kumar G.A.E..

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Devulapalli, P.K., G.A.E., S.K., Maganti, S.B. et al. Image transmission in mobile wireless multimedia sensor networks using cat swarm optimization. Multimed Tools Appl 83, 17557–17578 (2024). https://doi.org/10.1007/s11042-023-16302-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-023-16302-z

Keywords

Search

Navigation