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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 612))

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Abstract

Wireless multimedia sensor networks (WMSNs) are developed as a new class of wireless sensor networks to satisfy the strict quality of service (QoS) necessities of emerging applications. Nowadays, there occurs a large requirement to broadcast the video over the network. Therefore, it is necessary to design a routing protocol along with bandwidth estimation and compression approaches. In this paper, the congestion aware tunicate swarm algorithm (CATSA) is proposed for an effective routing over the WMSN. The passive available bandwidth estimation (PABE) and hybrid compression approach (HCA) are used to improve the QoS. The PABE is used to estimate the bandwidth of the routing path followed by the HCA which is used to compress the data for minimizing the resources. In that, HCA includes a lossless lifting wavelet transform (LWT) and lossy deep learning-based compression (DLC), whereas these approaches are applied according to the estimated bandwidth. The performance of the CATSA-PABE-HCA method is analyzed by means of packet drop, end-to-end delay (EED), and peak signal noise ratio (PSNR). The existing researches HRDSS and HSSFF are used to analyze the CATSA-PABE-HCA. The PSNR of the CATSA-PABE-HCA for 150 Kbps of bit rate is 2400 which is high than the HRDSS and HSSFF.

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References

  • A.S. Alqahtani, Improve the QoS using multi-path routing protocol for wireless multimedia sensor network. Environ. Technol. Innov. 24, 101850 (2021)

    Article  Google Scholar 

  • S. Ambareesh, A.N. Madheswari: HRDSS-WMSN: a multi-objective function for optimal routing protocol in wireless multimedia sensor networks using hybrid red deer salp swarm algorithm. Wireless Pers. Commun. 119(1):117–146

    Google Scholar 

  • S. Aswale, V.R. Ghorpade, Geographic multipath routing based on triangle link quality metric with minimum inter-path interference for wireless multimedia sensor networks. J. King Saud Univ. Comput. Inf. Sci. 33(1), 33–44 (2021)

    Google Scholar 

  • R. Banerjee, S. Das Bit, An energy efficient image compression scheme for wireless multimedia sensor network using curve fitting technique. Wireless Netw. 25(1), 167–183 (2019)

    Article  Google Scholar 

  • R. Banerjee, S. Chatterjee, S. Das Bit (2019) Performance of a partial discrete wavelet transform based path merging compression technique for wireless multimedia sensor networks. Wireless Pers. Commun. 104(1), 57–71

    Google Scholar 

  • S.S. Chaudhari, R.C. Biradar, Survey of bandwidth estimation techniques in communication networks. Wireless Pers. Commun. 83(2), 1425–1476 (2015)

    Google Scholar 

  • Y. Dua, R.S. Singh, K. Parwani, S. Lunagariya, V. Kumar, Convolution neural network based lossy compression of hyperspectral images. Sig. Process. Image Commun. 95, 116255 (2021)

    Article  Google Scholar 

  • M. Ezhilarasi, V. Krishnaveni, An evolutionary multipath energy-efficient routing protocol (EMEER) for network lifetime enhancement in wireless sensor networks. Soft. Comput. 23(18), 8367–8377 (2019)

    Article  Google Scholar 

  • A. Genta, D.K. Lobiyal, J.H. Abawajy, Energy efficient multipath routing algorithm for wireless multimedia sensor network. Sensors 19(17), 3642 (2019)

    Article  Google Scholar 

  • S. Gorgich, S. Tabatabaei, Proposing an energy-aware routing protocol by using a fish swarm optimization algorithm in WSN (wireless sensor networks). Wireless Pers. Commun. 119(3), 1935–1955 (2021)

    Article  Google Scholar 

  • M.A. Habib, S. Moh, Robust evolutionary-game-based routing for wireless multimedia sensor networks. Sensors 19(16), 3544 (2019)

    Google Scholar 

  • G. Han, J. Jiang, M. Guizani, J.J.C. Rodrigues, Green routing protocols for wireless multimedia sensor networks. IEEE Wireless Commun. 23(6), 140–146 (2016)

    Article  Google Scholar 

  • M.Z. Hasan, F. Al-Turjman, H. Al-Rizzo, Optimized multi-constrained quality-of-service multipath routing approach for multimedia sensor networks. IEEE Sens. J. 17(7), 2298–2309 (2017)

    Article  Google Scholar 

  • S. Heng, C. So-In, T.G. Nguyen, Distributed image compression architecture over wireless multimedia sensor networks. Wireless Commun. Mob. Comput. (2017)

    Google Scholar 

  • S. Kaur, L.K. Awasthi, A.L. Sangal, G. Dhiman, Tunicate swarm algorithm: a new bio-inspired based metaheuristic paradigm for global optimization. Eng. Appl. Artif. Intell. 90, 103541 (2020)

    Article  Google Scholar 

  • H. Li, Q. Qi, J. Liu, P. Zhao, Y. Yang, Mobile wireless multimedia sensor networks image compression task collaboration based on dynamic alliance. IEEE Access 8, 86024–86037 (2020)

    Article  Google Scholar 

  • D. Salcedo, C. Guerrero, R. Martinez, Available bandwidth estimation tools metrics, approaches and performance (2018)

    Google Scholar 

  • A. Srinivasa Gowda, N.M. Annamalai, Hybrid salp swarm–firefly algorithm-based routing protocol in wireless multimedia sensor networks. Int. J. Commun. Syst. 34(3), e4633 (2021)

    Article  Google Scholar 

  • K. Sumathi, P. Pandiaraja, Dynamic alternate buffer switching and congestion control in wireless multimedia sensor networks. Peer Peer Netw. Appl. 13(6), 2001–2010 (2020)

    Article  Google Scholar 

  • S. Suseela, R. Eswari, S. Nickolas, M. Saravanan, QoS optimization through PBMR algorithm in multipath wireless multimedia sensor networks. Peer Peer Netw. Appl. 13(4), 1248–1259 (2020)

    Article  Google Scholar 

  • Y. Tian, R. Liao, Multinode collaborative image compression algorithm for wireless multimedia sensor networks based on LBT. IEEE Sens. J. 20(20), 12065–12073 (2020)

    Article  Google Scholar 

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

    Article  Google Scholar 

  • H. Zhang, X.Q. Wang, Y.J. Sun, X.Y. Wang, A novel method for lossless image compression and encryption based on LWT, SPIHT and cellular automata. Sig. Process. Image Commun. 84, 115829 (2020)

    Article  Google Scholar 

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Correspondence to Ch. Janakamma .

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Janakamma, C., Hegde, N.P. (2023). Reliable Transmission of Multimedia Data Over Wireless Sensor Networks. In: Reddy, A.B., Nagini, S., Balas, V.E., Raju, K.S. (eds) Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems. Lecture Notes in Networks and Systems, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-19-9228-5_9

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