Abstract
The potential of Internet of Things and wireless sensor networks technologies can be used to build a picture of a future intelligent surveillance system. Because of the small size of the sensor nodes and their ability to transmit data remotely, they can be deployed at locations that are difficult or impossible to access. Wireless multimedia sensor network represents a distinct subdomain within the broader scope of wireless sensor networks. It has found diverse applications in the context of future smart cities, particularly in areas such as healthcare monitoring, home automation, transportation systems, and vehicular networks. A wireless multimedia sensor network is a resource-constrained network in which the nodes are small battery-powered devices. In addition, sending a large amount of collected data by wireless multimedia sensor network across the Internet of Things network imposes important challenges in terms of bandwidth, storage, processing, energy consumption, and wireless multimedia sensor network lifespan. One of the solutions to these kinds of problems is data transmission reduction. Therefore, this systematic literature review will review various techniques used in data transmission reduction, ranging from data transmission redundancy reduction to machine learning algorithms. Additionally, this review investigates the range of applications and the challenges encountered within the domain of wireless multimedia sensor networks. This work can serve as a basic strategy and a road map for scholars interested in data reduction techniques for intelligent surveillance systems using WMSN in Internet of Things networks.
Similar content being viewed by others
References
Talari S, Shafie-Khah M, Siano P, Loia V, Tommasetti A, Catalão JP (2017) A review of smart cities based on the internet of things concept. Energies 10(4):421
Lee H-C, Ke K-H (2018) Monitoring of large-area IoT sensors using a LoRa wireless mesh network system: design and evaluation. IEEE Trans Instrum Meas 67(9):2177–2187
Pal T, Das Bit S (2021) An energy-saving video compression targeting face recognition of disaster victim. Multimedia Syst 27(6):1037–1057
Wu C-M, Song Q-H, Jiao L-L (2016) Collaborative image compression algorithm in wireless multimedia sensor networks. J Inf Hiding Multimedia Signal Process 7(4):802–809
Küçükkeçeci C, Yazıcı A (2018) Big data model simulation on a graph database for surveillance in wireless multimedia sensor networks. Big data Res 11:33–43
Ma N (2019) Distributed video coding scheme of multimedia data compression algorithm for wireless sensor networks. EURASIP J Wirel Commun Netw 2019(1):1–9
Cesana M, Redondi A, Tiglao N, Grilo A, Barcelo-Ordinas JM, Alaei M, Todorova P (2012) Real-time multimedia monitoring in large-scale wireless multimedia sensor networks: research challenges. In: Proceedings of the 8th Euro-NF Conference on Next Generation Internet NGI 2012. IEEE, pp 79–86
Almalkawi IT, Zapata MG, Al-Karaki JN, Morillo-Pozo J (2010) Wireless multimedia sensor networks: current trends and future directions. Sensors 10(7):6662–6717
Janakamma C, Hegde DNP (2023) NIFR-node interference and failure recovery framework for multimedia transmission in WMSNs. J Theor Appl Inform Technol 101(12):5187–5193
Salim C (2018) Data reduction based energy-efficient approaches for secure priority-based managed wireless video sensor networks. PhD thesis, Bourgogne Franche-Comté
Pioli L, Dorneles CF, Macedo DD, Dantas MA (2022) An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature. Computing 104:1867–1889
Wang H, Chen Y (2022) High-efficiency multihomed multimedia transmission in wireless sensors. Int J Mobile Comput Multimedia Commun (IJMCMC) 13(1):1–19
Kong S, Sun L, Han C, Guo J (2017) An image compression scheme in wireless multimedia sensor networks based on NMF. Information 8(1):26
Islam A, Shin SY (2023) A digital twin-based drone-assisted secure data aggregation scheme with federated learning in artificial intelligence of things. IEEE Netw 37(2):278–285
Akyildiz IF, Melodia T, Chowdhury KR (2007) A survey on wireless multimedia sensor networks. Comput Netw 51(4):921–960
Kumhar M, Ukani V (2015) Survey on QoS aware routing protocols for wireless multimedia sensor networks. Int J Comput Sci Commun 6(1):121–128
Luo HMLLH (2021) Multimedia sensor networks. Springer, Berlin. https://doi.org/10.1007/978-981-16-0107-1
Matheen M, Sundar S (2023) A novel technique to mitigate the data redundancy and to improvise network lifetime using fuzzy criminal search ebola optimization for wmsn. Sensors 23(4):2218
Idrees AK, Al-Yaseen WL (2021) Distributed genetic algorithm for lifetime coverage optimisation in wireless sensor networks. Int J Adv Intell Paradig 18(1):3–24
Idrees AK, Couturier R (2022) Energy-saving distributed monitoring-based firefly algorithm in wireless sensors networks. J Supercomput 78(2):2072–2097
Idrees AK, Deschinkel K, Salomon M, Couturier R (2018) Multiround distributed lifetime coverage optimization protocol in wireless sensor networks. J Supercomput 74:1949–1972
Ojeda F, Mendez D, Fajardo A, Ellinger F (2023) On wireless sensor network models: a cross-layer systematic review. J Sens Actuator Netw 12(4):50
Hameed MK, Idrees AK (2022) Sensor device scheduling-based cuckoo algorithm for enhancing lifetime of cluster-based wireless sensor networks. Int J Comput Appl Technol 68(1):58–69
Nematzadeh S, Torkamanian-Afshar M, Seyyedabbasi A, Kiani F (2023) Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment. Neural Comput Appl 35(1):611–641
Idrees AK, Al-Mamory SO, Couturier R (2020) Energy-efficient particle swarm optimization for lifetime coverage prolongation in wireless sensor networks. In: International Conference on New Trends in Information and Communications Technology Applications. Springer, Berlin pp 200–218
Al Nuaimi M, Sallabi F, Shuaib K (2011) A survey of wireless multimedia sensor networks challenges and solutions. In: 2011 International Conference on Innovations in Information Technology. IEEE, pp 191–196
Gulati K, Boddu RSK, Kapila D, Bangare SL, Chandnani N, Saravanan G (2022) A review paper on wireless sensor network techniques in internet of things (IoT). Mater Today: Proc 51:161–165
Safara F, Souri A, Baker T, Al Ridhawi I, Aloqaily M (2020) Prinergy: a priority-based energy-efficient routing method for IoT systems. J Supercomput 76(11):8609–8626
Du R, Santi P, Xiao M, Vasilakos AV, Fischione C (2018) The sensable city: a survey on the deployment and management for smart city monitoring. IEEE Commun Surv Tutor 21(2):1533–1560
Spoladore D, Mahroo A, Trombetta A, Sacco M (2022) DOMUS: a domestic ontology managed ubiquitous system. J Ambient Intell Humaniz Comput 13(6):3037–3052
Dahmen J, Thomas BL, Cook DJ, Wang X (2017) Activity learning as a foundation for security monitoring in smart homes. Sensors 17(4):737
Saleem TJ, Chishti MA (2021) Deep learning for the internet of things: potential benefits and use-cases. Digit Commun Netw 7(4):526–542
Yazici A, Koyuncu M, Sert SA, Yilmaz T (2019) A fusion-based framework for wireless multimedia sensor networks in surveillance applications. IEEE Access 7:88418–88434
Banerjee R, Das Bit S (2019) An energy efficient image compression scheme for wireless multimedia sensor network using curve fitting technique. Wirel Netw 25(1):167–183
Salim C, Mitton N (2021) K-predictions based data reduction approach in WSN for smart agriculture. Computing 103(3):509–532
Papageorgiou A, Cheng B, Kovacs E (2015) Real-time data reduction at the network edge of internet-of-things systems. In: 2015 11th International Conference on Network and Service Management (CNSM). IEEE, pp 284–291
Jbeily T, Hatem I, Alkubeily M, Challal Y (2019) Simple on-line single-view video summarization for machine-to-machine wireless multimedia sensor network. In: Mechanism. Machine, Robotics and Mechatronics Sciences. Springer, Berlin, pp 31–42
Usman M, Jan MA, He X, Chen J (2019) A survey on big multimedia data processing and management in smart cities. ACM Comput Surv (CSUR) 52(3):1–29
Mosaif A, Rakrak S (2017) A survey of cross-layer design for wireless visual sensor networks. In: International Conference on Innovations in Bio-Inspired Computing and Applications. Springer, Berlin pp 60–68
Raju PS, Mahalingam M, Rajendran RA (2020) Review of intellectual video surveillance through internet of things. In: The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems. Academic, Elsevier, New York, NY, USA, pp 141–155
Budhewar AS, Thool RC (2015) Improving performance analysis of multimedia wireless sensor network: a survey. In: 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, pp 1441–1448
Patel N, Chaudhary J (2017) Energy efficient WMSN using image compression: a survey. In: 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, pp 124–128
Skosana V, Abu-Mahfouz AM (2020) Video encoding for wireless multimedia sensor networks: a review. In: 2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC). IEEE, pp 1–6
ZainEldin H, Elhosseini MA, Ali HA (2015) Image compression algorithms in wireless multimedia sensor networks: a survey. Ain Shams Eng J 6(2):481–490
Kitchenham B (2004) Procedures for performing systematic reviews, vol 33. Keele University, Keele, pp 1–26
Salim C, Makhoul A, Darazi R, Couturier R (2016) Combining frame rate adaptation and similarity detection for video sensor nodes in wireless multimedia sensor networks. In: 2016 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, pp 327–332
Rehman YAU, Tariq M, Sato T (2016) A novel energy efficient object detection and image transmission approach for wireless multimedia sensor networks. IEEE Sens J 16(15):5942–5949
Mekonnen T, Harjula E, Heikkinen A, Koskela T, Ylianttila M (2017) Energy efficient event driven video streaming surveillance using sleepycam. In: 2017 IEEE International Conference on Computer and Information Technology (CIT) IEEE, pp 107–113
Kaljahi MA, Shivakumara P, Idris MYI, Anisi MH, Blumenstein M (2019) A new image size reduction model for an efficient visual sensor network. J Vis Commun Image Represent 63:102573
Barathy MN et al (2020) Two-level data aggregation for WMSNs employing a novel VBEAO and HOSVD. Comput Commun 149:194–213
Barathy MN, Dharma D (2021) A novel protein sequence alignment-based patch similarity estimation for two-level data aggregation in WMSNs. Wirel Pers Commun 117(3):2595–2633
Salim C, Makhoul A, Couturier R (2020) Energy-efficient secured data reduction technique using image difference function in wireless video sensor networks. Multimedia Tools Appl 79(3):1801–1819
Tannoury A, Darazi R, Guyeux C, Makhoul A (2017) Efficient and accurate monitoring of the depth information in a wireless multimedia sensor network based surveillance. In: 2017 Sensors Networks Smart and Emerging Technologies (SENSET). IEEE, pp 1–4
Al-Sabhan M, Soudani A (2018) Target recognition approach for efficient sensing in wireless multimedia sensor networks. SENSORNETS, pp 91–98
Zam A, Khayyambashi MR, Bohlooli A (2019) Energy-aware strategy for collaborative target-detection in wireless multimedia sensor network. Multimedia Tools Appl 78(13):18921–18941
Josephson C, Yang L, Zhang P, Katti S (2019) Wireless computer vision using commodity radios. In: 2019 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). IEEE, pp 229–240
Muthumayil K, Jayasankar T, Krishnaraj N, Sikkandar MY, Balasubramanian PN, Bharatiraja C (2021) Maximizing throughput in wireless multimedia sensor network using soft computing techniques. Intell Autom Soft Comput 27(3):771–784
Koteich J, Salim C, Mitton N (2021) Data reduction and frame rate adaptation in WVSN. In: 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, pp 127–132
Pundir M, Sandhu JK (2021) A systematic review of quality of service in wireless sensor networks using machine learning: recent trend and future vision. J Netw Comput Appl 188:103084
Kumar DP, Amgoth T, Annavarapu CSR (2019) Machine learning algorithms for wireless sensor networks: a survey. Information Fusion 49:1–25
Ghosh AM, Grolinger K (2019) Deep learning: Edge-cloud data analytics for IoT. In: 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE). IEEE, pp 1–7
Mohammadi M, Al-Fuqaha A (2018) Enabling cognitive smart cities using big data and machine learning: approaches and challenges. IEEE Commun Mag 56(2):94–101
Zhou S, Van Le D, Yang JQ, Tan R, Ho D (2021) EFCAM: configuration-adaptive fog-assisted wireless cameras with reinforcement learning. In: 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, pp 1–9
Luo H, Chu H, Xu Y (2015) Clustering-based image sparse denoising in wireless multimedia sensor networks. Circuits Syst Signal Process 34(3):1027–1040
Alqaralleh BA, Mohanty SN, Gupta D, Khanna A, Shankar K, Vaiyapuri T (2020) Reliable multi-object tracking model using deep learning and energy efficient wireless multimedia sensor networks. IEEE Access 8:213426–213436
Sahar G, Bakar KBA, Zuhra FT, Rahim S, Bibi T, Madni SHH (2021) Data redundancy reduction for energy-efficiency in wireless sensor networks: a comprehensive review. IEEE Access 9:157859–157888
Genta A, Lobiyal D (2018) Performance evaluation of wavelet based image compression for wireless multimedia sensor network. In: International Conference on Advances in Computing and Data Sciences. Springer, Berlin, pp 402–412
Sarisaray-Boluk P, Akkaya K (2015) Performance comparison of data reduction techniques for wireless multimedia sensor network applications. Int J Distrib Sens Netw 11(8):873495
Pal T, DasBit S (2017) A low overhead video compression technique for energy-starved wireless multimedia sensor network. In: 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, pp 1–6
Patel N, Chaudhary J (2018) Enhancing multimedia compression and transmission technique to aid energy efficient wireless multimedia sensor network. In: 2018 International Conference On Advances in Communication and Computing Technology (ICACCT). IEEE, pp 378–383
Laouira ML, Abdelli A, Mokdad L, Othman JB (2015) An efficient transmitting strategy for image fusion in WMSN. In: 2015 IEEE International Conference on Communications (ICC). IEEE, pp 5325–5330
Pal T, Bandyopadhyay S, Dasbit S (2015) Energy-saving image transmission over WMSN using block size reduction technique. In: 2015 IEEE International Symposium on Nanoelectronic and Information Systems. IEEE, pp 41–46
Zidani N, Doghmane N, Kaddeche M, Kouadria N, Harize S (2021) An efficient low complexity pruned DCT approximation for image compression in wireless multimedia sensor networks. J Circuits Syst Comput 30(11):2150199
Wei Z, Lijuan S, Jian G, Linfeng L (2016) Image compression scheme based on PCA for wireless multimedia sensor networks. J China Univ Posts Telecommun 23(1):22–30
Pal T, DasBit S (2018) A low-overhead adaptive image compression technique for energy-constrained WMSN. Comput Electr Eng 70:594–615
Pal T, DasBit S (2015) A new CFA based image compression technique for energy-starved wireless multimedia sensor network. In: 2015 Annual IEEE India Conference (INDICON). IEEE, pp 1–6
Durdi VB, Kulkarni P, Sudha K (2016) Cross layer approach energy efficient transmission of multimedia data over wireless sensor networks. In: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies. The ACM International Conference Proceeding Series, pp 1–6
Khernane N, Couchot J-F, Mostefaoui A (2016) Maximizing network lifetime in wireless video sensor networks under quality constraints. In: Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, pp 59–66. MobiWac 2016—Proceedings of the 14th ACM International Symposium on. Mobility Management and Wireless Access, co-located with MSWiM
Kouadria N, Mechouek K, Messadeg D, Doghmane N (2017) Pruned discrete Tchebichef transform for image coding in wireless multimedia sensor networks. AEU Int J Electron Commun 74:123–127
Ahn J, Park J, Park D, Paek J, Ko J (2018) Convolutional neural network-based classification system design with compressed wireless sensor network images. PLoS ONE 13(5):0196251
Li H, Qi Q, Liu J, Zhao P, Yang Y (2020) Mobile wireless multimedia sensor networks image compression task collaboration based on dynamic alliance. IEEE Access 8:86024–86037
Tsai T-H, Huang C-C, Chang C-H, Hussain MA (2020) Design of wireless vision sensor network for smart home. IEEE Access 8:60455–60467
Han C, Zhang S, Zhang B, Zhou J, Sun L (2020) A distributed image compression scheme for energy harvesting wireless multimedia sensor networks. Sensors 20(3):667
Jiang W, Yang J (2018) Energy-constraint rate distortion optimization for compressive sensing-based image coding. SIViP 12(7):1419–1427
Monika R, Hemalatha R, Radha S (2018) Energy efficient surveillance system using WVSN with reweighted sampling in modified fast HAAR wavelet transform domain. Multimedia Tools Appl 77(23):30187–30203
Subbu Lakshmi T, Gnanadurai D, Muthulakshmi I (2021) Energy conserving texture-based adaptable compressive sensing scheme for WVSN. Concurr Comput: Practice Exp 33(3):5178
Lakshmi TS, Gnanadurai D, Muthulakshmi I (2021) Energy conserving forepart detection scheme with dynamic compressive measurements based on compressive sensing for WVSN. J Intern Technol 22(2):353–362
Hemalatha R, Radha S, Sudharsan S (2015) Energy-efficient image transmission in wireless multimedia sensor networks using block-based compressive sensing. Comput Electr Eng 44:67–79
Bavarva A, Jani PV, Ghetiya K (2018) Performance improvement of wireless multimedia sensor networks using MIMO and compressive sensing. J Commun Inf Netw 3(1):84–90
Angayarkanni V, Radha S, Akshaya V (2019) Multi-view video codec using compressive sensing for wireless video sensor networks. Int J Mobile Commun 17(6):727–745
Yang Y, Guo S, Liu G, Yang Y (2018) Two-layer compressive sensing based video encoding and decoding framework for WMSN. J Netw Comput Appl 117:72–85
Author information
Authors and Affiliations
Contributions
IKA developed the model and performed experiments. AKI wrote some parts of the manuscript and revise it. All the authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
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.
About this article
Cite this article
Abbood, I.K., Idrees, A.K. Data reduction techniques for wireless multimedia sensor networks: a systematic literature review. J Supercomput 80, 10044–10089 (2024). https://doi.org/10.1007/s11227-023-05842-8
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11227-023-05842-8