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Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions

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Abstract

The present study discusses big data (BD) and Internet of Things (IoT)-based applications in intelligent ecosystems. The purpose of these areas is to identify important application domains, recent development, and data architectures, and to handle any challenges that arise. To our knowledge, this is the first systematic literature review (SLR) of this kind, reviewing research works published in peer-reviewed venues between 2011 and 2022 utilizing a 4-step selection technique of recognition, monitoring, eligibility, and selection. To study these records, an SLR was conducted, and six key research questions (RQs) were answered. The findings suggest that merging BD and IoT technology opens up new opportunities for intelligent ecosystem applications that monitor, protect, and improve natural resources in the real world. Among the topics covered in this survey are intelligent environment analysis, intelligent farming, ultraprecision agriculture, industrial IoTs, and intelligent disaster warning. Finally, we review the most frequently used BD and IoT approaches, which we believe will serve as a platform for future transdisciplinary research in intelligent environments and smart cities.

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References

  1. Akoka J, Comyn-Wattiau I, Laoufi N (2017) Research on big data–a systematic mapping study. Comput Standards Interfaces 54:105–115

    Google Scholar 

  2. Al Mamun MA, Yuce MR (2019) Sensors and systems for wearable environmental monitoring toward IoT-enabled applications: a review. IEEE Sens J 19(18):7771–7788

    ADS  CAS  Google Scholar 

  3. Al-Sarem M, Boulila W, Al-Harby M, Qadir J, Alsaeedi A (2019) Deep learning-based rumor detection on microblogging platforms: a systematic review. IEEE access 7:152788–152812

    Google Scholar 

  4. Alam F, Mehmood R, Katib I, Albogami NN, Albeshri A (2017) Data fusion and IoT for smart ubiquitous environments: a survey. IEEE Access 5:9533–9554

    Google Scholar 

  5. Alshamsi A, Anwar Y, Almulla M, Aldohoori M, Hamad N, Awad M (2017) Monitoring pollution: applying IoT to create a smart environment. In: 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). IEEE, pp 1–4

  6. Ardagna D, Cappiello C, Samá W, Vitali M (2018) Context-aware data quality assessment for big data. Futur Gener Comput Syst 89:548–562

    Google Scholar 

  7. Arridha R, Sukaridhoto S, Pramadihanto D, Funabiki N (2017) Classification extension based on IoT-big data analytic for smart environment monitoring and analytic in real-time system. International Journal of Space-Based and Situated Computing 7(2):82–93

    Google Scholar 

  8. Asaithambi SPR, Venkatraman S, Venkatraman R (2021) Big data and personalisation for non-intrusive smart home automation. Big Data Cognit Comput 5(1):6

    Google Scholar 

  9. Asghari P, Rahmani AM, Javadi HHS (2019) Internet of things applications: a systematic review. Comput Netw 148:241–261

    Google Scholar 

  10. Ashton K (2009) That ‘internet of things’ thing. RFID J 22(7):97–114

    Google Scholar 

  11. Atitallah SB, Driss M, Boulila W, Ghézala HB (2020) Leveraging deep learning and IoT big data analytics to support the smart cities development: review and future directions. Comput Sci Rev 38:100303

    Google Scholar 

  12. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805

    Google Scholar 

  13. Avci C, Tekinerdogan B, Athanasiadis IN (2020) Software architectures for big data: a systematic literature review. Big Data Anal 5(1):1–53

    Google Scholar 

  14. Babar M, Arif F (2017) Smart urban planning using big data analytics to contend with the interoperability in internet of things. Futur Gener Comput Syst 77:65–76

    Google Scholar 

  15. Babar M, Arif F (2019) Real-time data processing scheme using big data analytics in internet of things based smart transportation environment. J Ambient Intell Humaniz Comput 10(10):4167–4177

    Google Scholar 

  16. Babar M, Arif F, Jan MA, Tan Z, Khan F (2019) Urban data management system: towards big data analytics for internet of things based smart urban environment using customized hadoop. Futur Gener Comput Syst 96:398–409

    Google Scholar 

  17. Banafa A (2017) Three major challenges facing iot. IEEE Internet of things, newsletter, March 14, 2017

  18. Baranwal T, Pateriya PK (2016) Development of IoT based smart security and monitoring devices for agriculture. In: 2016 6th international conference-cloud system and big data engineering (confluence). IEEE, pp 597–602

  19. Bellini P, Nesi P, Pantaleo G (2022) IoT-enabled smart cities: a review of concepts, frameworks and key technologies. Appl Sci 12(3):1607

    CAS  Google Scholar 

  20. Berlian MH, Sahputra TER, Ardi BJW, Dzatmika LW, Besari ARA, Sudibyo RW, Sukaridhoto S (2016) Design and implementation of smart environment monitoring and analytics in real-time system framework based on internet of underwater things and big data. In: 2016 International Electronics Symposium (IES). IEEE, pp 403–408

  21. Berouine A, Lachhab F, Malek YN, Bakhouya M, Ouladsine R (2017) A smart metering platform using big data and IoT technologies. In: 2017 3rd international conference of cloud computing technologies and applications (CloudTech). IEEE, pp 1–6

  22. Bibri SE (2018) The IoT for smart sustainable cities of the future: an analytical framework for sensor-based big data applications for environmental sustainability. Sustain Cities Soc 38:230–253

    Google Scholar 

  23. Boulila W (2019) A top-down approach for semantic segmentation of big remote sensing images. Earth Sci Inf 12(3):295–306

    Google Scholar 

  24. Boulila W, Farah IR, Ettabaa KS, Solaiman B, Ghézala HB (2009) Improving spatiotemporal change detection: a high level fusion approach for discovering uncertain knowledge from satellite image databases. In: Icdm, vol 9. Citeseer, pp 222–227

  25. Boulila W, Bouatay A, Farah IR (2014) A probabilistic collocation method for the imperfection propagation: application to land cover change prediction. J Multim Process Technol 5(1):12–32

    Google Scholar 

  26. Boulila W, Ayadi Z, Farah IR (2017) Sensitivity analysis approach to model epistemic and aleatory imperfection: application to land cover change prediction model. J Comput Sci 23:58–70

    Google Scholar 

  27. Boulila W, Farah IR, Hussain A (2018) A novel decision support system for the interpretation of remote sensing big data. Earth Sci Inform 11(1):31–45

    Google Scholar 

  28. Carvalho DF, Depari A, Ferrari P, Flammini A, Rinaldi S, Sisinni E (2018) On the feasibility of mobile sensing and tracking applications based on LPWAN. In: 2018 IEEE Sensors Applications Symposium (SAS). IEEE, pp 1–6

  29. Chaczko Z, Kale A, Santana-Rodríguez JJ, Suárez-Araujo CP (2018) Towards an iot based system for detection and monitoring of microplastics in aquatic environments. In: 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). IEEE, pp 000057–000062

  30. Chang HY, Wang JJ, Lin CY, Chen CH (2018) An agricultural data gathering platform based on internet of things and big data. In: 2018 International Symposium on Computer, Consumer and Control (IS3C). IEEE, pp 302–305

  31. Chebbi I, Boulila W, Farah IR (2015) Big data: concepts, challenges and applications. In: Computational collective intelligence. Springer, Cham, pp 638–647

  32. Chebbi I, Boulila W, Farah IR (2016) Improvement of satellite image classification: approach based on Hadoop/MapReduce. In: 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, pp 31–34

  33. Chebbi I, Boulila W, Mellouli N, Lamolle M, Farah IR (2018) A comparison of big remote sensing data processing with Hadoop MapReduce and Spark. In: 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, pp 1–4

  34. Chen S, Hu J, Shi Y, Peng Y, Fang J, Zhao R, Zhao L (2017) Vehicle-to-everything (v2x) services supported by LTE-based systems and 5G. IEEE Commun Stand Mag 1:70–76

    Google Scholar 

  35. Chen M, Yang J, Hu L, Hossain MS, Muhammad G (2018) Urban healthcare big data system based on crowdsourced and cloud-based air quality indicators. IEEE Commun Mag 56(11):14–20

    Google Scholar 

  36. Chin J, Callaghan V, Lam I (2017) Understanding and personalising smart city services using machine learning, the internet-of-things and big data. In: 2017 IEEE 26th international symposium on industrial electronics (ISIE). IEEE, pp 2050–2055

  37. Cicirelli F, Guerrieri A, Spezzano G, Vinci A (2019) A cognitive enabled, edge-computing architecture for future generation IoT environments. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT). IEEE, pp 35–40

  38. Cook D, Das SK (2004) Smart environments: technology, protocols, and applications, vol 43. Wiley, Hoboken

    Google Scholar 

  39. Corbellini A, Mateos C, Zunino A, Godoy D, Schiaffino S (2017) Persisting big-data: the NoSQL landscape. Inf Syst 63:1–23

    Google Scholar 

  40. Dai HN, Wang H, Xu G, Wan J, Imran M (2020) Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies. Enterp Inf Syst 14(9–10):1279–1303

    Google Scholar 

  41. De Mauro A, Greco M, Grimaldi M (2015) What is big data? A consensual definition and a review of key research topics. In: AIP conference proceedings, vol 1644, no 1. American Institute of Physics, pp 97–104

  42. De Mauro A, Greco M, Grimaldi M (2016) A formal definition of big data based on its essential features. Library Rev 65:122–135

    Google Scholar 

  43. Din S, Ghayvat H, Paul A, Ahmad A, Rathore MM, Shafi I (2015) An architecture to analyze big data in the internet of things. In: 2015 9th International Conference on Sensing Technology (ICST). IEEE, pp 677–682

  44. Dupont C, Sheikhalishahi M, Biswas AR, Bures T (2017) IoT, big data, and cloud platform for rural African needs. In: 2017 IST-Africa Week Conference (IST-Africa). IEEE, pp 1–7

  45. Elarabi T, Deep V, Rai CK (2015) Design and simulation of state-of-art ZigBee transmitter for IoT wireless devices. In: 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, pp 297–300

  46. El-Din DM, Hassanein AE, Hassanien EE (2021) A proposed context-awareness taxonomy for multi-data fusion in smart environments: types, properties, and challenges. In: recent advances in intelligent systems and smart applications. Springer, Cham, pp 511–536

  47. Evans D (2011) The internet of things: how the next evolution of the internet is changing everything. CISCO white paper, 1(2011), pp 1–11

  48. Fang S, Da Xu L, Zhu Y, Ahati J, Pei H, Yan J, Liu Z (2014) An integrated system for regional environmental monitoring and management based on internet of things. IEEE Trans Industr Inf 10(2):1596–1605

    Google Scholar 

  49. Fazio M, Celesti A, Puliafito A, Villari M (2015) Big data storage in the cloud for smart environment monitoring. Procedia Comput Sci 52:500–506

    Google Scholar 

  50. Ferchichi A, Boulila W, Farah IR (2017) Propagating aleatory and epistemic uncertainty in land cover change prediction process. Ecol Inform 37:24–37

    Google Scholar 

  51. Ferchichi A, Boulila W, Farah IR (2018) Reducing uncertainties in land cover change models using sensitivity analysis. Knowl Inf Syst 55(3):719–740

    Google Scholar 

  52. Flume apache. https://flume.apache.org. Access Date: 16 June 2022

  53. Gao F, Huang T, Sun J, Wang J, Hussain A, Yang E (2019) A new algorithm for SAR image target recognition based on an improved deep convolutional neural network. Cogn Comput 11(6):809–824

    Google Scholar 

  54. Gomez C, Chessa S, Fleury A, Roussos G, Preuveneers D (2019) Internet of Things for enabling smart environments: a technology-centric perspective. J Ambient Intell Smart Environ 11(1):23–43

    Google Scholar 

  55. Gómez Romero CD, Díaz Barriga JK, Rodríguez Molano JI (2016) Big data meaning in the architecture of IoT for smart cities. In: International conference on data mining and big data. Springer, Cham, pp 457–465

  56. Goswami P, Mukherjee A, Chatterjee P, Yang L (2021) An optimal resource allocation method for IIoT network. In: Adjunct proceedings of the 2021 international conference on distributed computing and networking, pp 31–36

  57. Gu F, Ma B, Guo J, Summers PA, Hall P (2017) Internet of things and big data as potential solutions to the problems in waste electrical and electronic equipment management: an exploratory study. Waste Manag 68:434–448

    PubMed  Google Scholar 

  58. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29(7):1645–1660

    Google Scholar 

  59. Hajjaji Y, Farah IR (2018) Performance investigation of selected NoSQL databases for massive remote sensing image data storage. In: 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, pp 1–6

  60. Hammad M, Basit HA, Jarzabek S, Koschke R (2020) A systematic mapping study of clone visualization. Comput Sci Rev 37:100266

    Google Scholar 

  61. Hanga KM, Kovalchuk Y (2019) Machine learning and multi-agent systems in oil and gas industry applications: a survey. Comput Sci Rev 34:100191

    Google Scholar 

  62. He Z, Yang F, Li Z, Liu K, Xiong N (2018) Mining channel water depth information from IoT-based big automated identification system data for safe waterway navigation. IEEE Access 6:75598–75608

    Google Scholar 

  63. Horita F, Baptista J, de Albuquerque JP (2020) Exploring the use of IoT data for heightened situational awareness in centralised monitoring control rooms. Inf Syst Front:1–16

  64. Huang C, Nazir S (2021) Analyzing and evaluating smart cities for IoT based on use cases using the analytic network process. Mob Inf Syst 2021:1–13

    CAS  Google Scholar 

  65. Huang Y, Zhao Q, Zhou Q, Jiang W (2018) Air quality forecast monitoring and its impact on brain health based on big data and the internet of things. IEEE Access 6:78678–78688

    Google Scholar 

  66. Hutton B, Salanti G, Chaimani A, Caldwell DM, Schmid C, Thorlund K, … Moher D (2014) The quality of reporting methods and results in network meta-analyses: an overview of reviews and suggestions for improvement. PloS one 9(3):e92508

  67. Islam SM, Lloret J, Zikria YB (2021) Internet of Things (IoT)-based wireless health: enabling technologies and applications. Electronics 10(2):148

    Google Scholar 

  68. Ito T, Noguchi H, Kataoka M, Isoda T, Murase T (2020) Virtualization in distributed hot and cold storage for IoT data retrieval without caching. In: 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT). IEEE, pp 463–468

  69. Jabbar J, Mehmood H, Hafeez U, Malik H, Salahuddin H, Jabbar TH (2020) Socialize the behavior of iot on human to devices interaction and internet marketing. IJCSNS Int J Comput Sci Netw Secur 20(5):158–164

    Google Scholar 

  70. Jabbar J, Mehmood H, Malik H (2020) Security of cloud computing: belongings for the generations. Int J Eng Technol 9(2):454–457

    Google Scholar 

  71. Jiang R, Zhang Y(2013) Research of agricultural information service platform based on internet of things. In: 2013 12th international symposium on distributed computing and applications to business, engineering & science. IEEE, pp 176–180

  72. Jiang H, Zhu R, Wang B (2020) EPF: a general framework for supporting continuous top-k queries over streaming data. Cogn Comput 12(1):176–194

    Google Scholar 

  73. Kadir EA, Efendi A, Rosa SL (2018) Application of LoRa WAN sensor and IoT for environmental monitoring in Riau Province Indonesia. In: 2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, pp 281–285

  74. Kafka apache. https://kafka.apache.org. Access Date: 16 June 2022

  75. Kang YS, Park IH, Rhee J, Lee YH (2015) MongoDB-based repository design for IoT-generated RFID/sensor big data. IEEE Sens J 16(2):485–497

    ADS  Google Scholar 

  76. Katal A, Wazid M, Goudar RH (2013) Big data: issues, challenges, tools and good practices. In: 2013 Sixth international conference on contemporary computing (IC3). IEEE, pp 404–409

  77. Khan M, Iqbal J, Talha M, Arshad M, Diyan M, Han K (2020) Big data processing using internet of software defined things in smart cities. Int J Parallel Prog 48(2):178–191

    Google Scholar 

  78. Khorshed MT, Sharma NA, Kumar K, Prasad M, Ali AS, Xiang Y (2015) Integrating internet-of-things with the power of cloud computing and the intelligence of big data analytics—a three layered approach. In: 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE). IEEE, pp 1–8

  79. Koo D, Piratla K, Matthews CJ (2015) Towards sustainable water supply: schematic development of big data collection using internet of things (IoT). Procedia Eng 118:489–497

    Google Scholar 

  80. Lavric A, Petrariu AI (2018) LoRaWAN communication protocol: the new era of IoT. In: 2018 International Conference on Development and Application Systems (DAS). IEEE, pp 74–77

  81. Lazarescu MT (2013) Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE J Emerg Sel Topics Circuits Syst 3(1):45–54

    ADS  Google Scholar 

  82. Lee JG, Tsai WF, Lee LC, Lin CY, Lin HC, Tsuang BJ (2017) In-place query driven big data platform: applications to post processing of environmental monitoring. Concurr Comput 29(13):e4135

    Google Scholar 

  83. Li S, Xu LD, Zhao S (2015) The internet of things: a survey. Inf Syst Front 17(2):243–259

    Google Scholar 

  84. Li X, Liu H, Wang W, Zheng Y, Lv H, Lv Z (2022) Big data analysis of the internet of things in the digital twins of smart city based on deep learning. Futur Gener Comput Syst 128:167–177

    Google Scholar 

  85. Lieberman J, Leidner A, Percivall G, Rönsdorf C (2017) Using big data analytics and IoT principles to keep an eye on underground infrastructure. In: 2017 IEEE international conference on big data (big data). IEEE, pp 4592–4601

  86. Liu Y, Zhou G (2012) Key technologies and applications of internet of things. In: 2012 fifth international conference on intelligent computation technology and automation. IEEE, pp 197–200

  87. Liu L, Shah SA, Zhao G, Yang X (2018) Respiration symptoms monitoring in body area networks. Appl Sci 8(4):568

    Google Scholar 

  88. Lu SQ, Xie G, Chen Z, Han X (2015) The management of application of big data in internet of thing in environmental protection in China. In: 2015 IEEE first international conference on big data computing service and applications. IEEE, pp 218–222

  89. Mahmud M, Kaiser MS, Hussain A, Vassanelli S (2018) Applications of deep learning and reinforcement learning to biological data. IEEE Trans Neural Netw Learn Syst 29(6):2063–2079

    MathSciNet  PubMed  Google Scholar 

  90. Manman L, Xin Q, Goswami P, Mukherjee A, Yang L (2020) Energy-efficient dynamic clustering for IoT applications: a neural network approach. In: 2020 IEEE Eighth International Conference on Communications and Networking (ComNet). IEEE, pp 1–7

  91. Masood F, Boulila W, Ahmad J, Sankar S, Rubaiee S, Buchanan WJ (2020) A novel privacy approach of digital aerial images based on mersenne twister method with DNA genetic encoding and chaos. Remote Sens 12(11):1893

    ADS  Google Scholar 

  92. Meng X, Bradley J, Yavuz B, Sparks E, Venkataraman S, Liu D, Talwalkar A (2016) Mllib: machine learning in apache spark. J Mach Learn Res 17(1):1235–1241

  93. Middel A, Lukasczyk J, Zakrzewski S, Arnold M, Maciejewski R (2019) Urban form and composition of street canyons: a human-centric big data and deep learning approach. Landsc Urban Plan 183:122–132

    Google Scholar 

  94. Mukherjee S (2020) Emerging frontiers in smart environment and healthcare–a vision. Inf Syst Front 22(1):23–27

    Google Scholar 

  95. Narayanan K (2017) Addressing the challenges facing IoT adoption. Microw J 60(1):110–118

    Google Scholar 

  96. Onal AC, Sezer OB, Ozbayoglu M, Dogdu E (2017) Weather data analysis and sensor fault detection using an extended IoT framework with semantics, big data, and machine learning. In: 2017 IEEE International Conference on Big Data (Big Data). IEEE, pp 2037–2046

  97. Ouafiq EM, Elrharras A, Mehdary A, Chehri A, Saadane R, Wahbi M (2021) IoT in smart farming analytics, big data based architecture. In: Human centred intelligent systems. Springer, Singapore, pp 269–279

  98. Pallavi S, Mallapur JD, Bendigeri KY (2017) Remote sensing and controlling of greenhouse agriculture parameters based on IoT. In: 2017 International conference on big data, IoT and data science (BID). IEEE, pp 44–48

  99. Pan G, He J, Wu Q, Fang R, Cao J, Liao D (2018) Automatic stabilization of Zigbee network. In: 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE, pp 224–227

  100. Pang Z, Chen Q, Han W, Zheng L (2015) Value-centric design of the internet-of-things solution for food supply chain: value creation, sensor portfolio and information fusion. Inf Syst Front 17(2):289–319

    Google Scholar 

  101. Peffers K, Tuunanen T, Rothenberger MA, Chatterjee S (2007) A design science research methodology for information systems research. J Manag Inf Syst 24(3):45–77

    Google Scholar 

  102. Peng M, Garg S, Wang X, Bradai A, Lin H, Hossain MS (2020) Learning-based IoT data aggregation for disaster scenarios. IEEE Access 8:128490–128497

    Google Scholar 

  103. Raimundo RJ, Rosário AT (2022) Cybersecurity in the internet of things in industrial management. Appl Sci 12(3):1598

    CAS  Google Scholar 

  104. Rajeswari S, Suthendran K, Rajakumar K (2017) A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics. In: 2017 international conference on intelligent computing and control (I2C2). IEEE, pp 1–5

  105. Rodriguez-Mier P, Mucientes M, Bugarín A (2019) Feature selection and evolutionary rule learning for big data in smart building energy management. Cogn Comput 11(3):418–433

    Google Scholar 

  106. Roy S, Ray R, Roy A, Sinha S, Mukherjee G, Pyne S, … Hazra S (2017) IoT, big data science & analytics, cloud computing and mobile app based hybrid system for smart agriculture. In: 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE, pp 303–304

  107. Saeed H, Malik H, Bashir U, Ahmad A, Riaz S, Ilyas M, Khan MIA (2022) Blockchain technology in healthcare: a systematic review. Plos one 17(4):e0266462

  108. Safaei M, Asadi S, Driss M, Boulila W, Alsaeedi A, Chizari H, Safaei M (2020) A systematic literature review on outlier detection in wireless sensor networks. Symmetry 12(3):328

  109. Safaei M, Ismail AS, Chizari H, Driss M, Boulila W, Asadi S, Safaei M (2020) Standalone noise and anomaly detection in wireless sensor networks: a novel time-series and adaptive Bayesian-network-based approach. Softw: Pract Exp 50(4):428–446

    Google Scholar 

  110. Sebestyén V, Czvetkó T, Abonyi J (2021) The applicability of big data in climate change research: the importance of system of systems thinking. Front Environ Sci 9:70

    Google Scholar 

  111. Shadroo S, Rahmani AM (2018) Systematic survey of big data and data mining in internet of things. Comput Netw 139:19–47

    Google Scholar 

  112. Shafique K, Khawaja BA, Sabir F, Qazi S, Mustaqim M (2020) Internet of things (IoT) for next-generation smart systems: a review of current challenges, future trends and prospects for emerging 5G-IoT scenarios. Ieee Access 8:23022–23040

    Google Scholar 

  113. Shah SA, Ren A, Fan D, Zhang Z, Zhao N, Yang X, Abbasi QH (2018) Internet of things for sensing: a case study in the healthcare system. Appl Sci 8(4):508

  114. Shah SA, Seker DZ, Hameed S, Draheim D (2019) The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects. IEEE Access 7:54595–54614

    Google Scholar 

  115. Shi Q, Abdel-Aty M (2015) Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways. Transp Res Part C Emerg Technol 58:380–394

    Google Scholar 

  116. Sood SK, Sandhu R, Singla K, Chang V (2018) IoT, big data and HPC based smart flood management framework. Sustain Comput: Inform Syst 20:102–117

    Google Scholar 

  117. Srinivasulu P, Babu MS, Venkat R, Rajesh K (2017) Cloud service oriented architecture (CSoA) for agriculture through internet of things (IoT) and big data. In: 2017 IEEE international conference on electrical, instrumentation and communication engineering (ICEICE). IEEE, pp 1–6

  118. Suciu G, Anwar M, Ganaside A, Scheianu A (2017) IoT time critical applications for environmental early warning. In: 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, pp 1–4

  119. Talavera JM, Tobón LE, Gómez JA, Culman MA, Aranda JM, Parra DT, Garreta LE (2017) Review of IoT applications in agro-industrial and environmental fields. Comput Electron Agric 142:283–297

  120. Tanoli SAK, Rehman M, Khan MB, Jadoon I, Ali Khan F, Nawaz F, Nasir AA (2018) An experimental channel capacity analysis of cooperative networks using Universal Software Radio Peripheral (USRP). Sustainability 10(6):1983

  121. Thorat A, Kumari S, Valakunde ND (2017) An IoT based smart solution for leaf disease detection. In 2017 international conference on big data, IoT and data science (BID). IEEE, pp 193–198

  122. Tickle R, Triguero I, Figueredo GP, Mesgarpour M, John RI (2019) PAS3-HSID: a dynamic bio-inspired approach for real-time hot spot identification in data streams. Cogn Comput 11(3):434–458

    Google Scholar 

  123. Tsai CF, Liang TW (2018) Application of IoT technology in the simple micro-farming environmental monitoring. In: 2018 IEEE International Conference on Advanced Manufacturing (ICAM). IEEE, pp 170–172

  124. Tu L, Liu S, Wang Y, Zhang C, Li P (2020) An optimized cluster storage method for real-time big data in internet of things. J Supercomput 76(7):5175–5191

    Google Scholar 

  125. Tyagi SKS, Mukherjee A, Boyang Q, Jain DK (2021) Computing resource optimization of big data in optical cloud radio access networked industrial Internet of Things. IEEE Trans Industr Inf 17(11):7734–7742

    Google Scholar 

  126. Ullo SL, Sinha GR (2020) Advances in smart environment monitoring systems using IoT and sensors. Sensors 20(11):3113

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  127. ur Rehman MH, Yaqoob I, Salah K, Imran M, Jayaraman PP, Perera C (2019) The role of big data analytics in industrial internet of things. Futur Gener Comput Syst 99:247–259

    Google Scholar 

  128. Villari M, Celesti A, Fazio M, Puliafito A (2014) AllJoyn Lambda: An architecture for the management of smart environments in IoT. In: 2014 international conference on smart computing workshops. IEEE, pp 9–14

  129. Vuran MC, Salam A, Wong R, Irmak S (2018) Internet of underground things in precision agriculture: architecture and technology aspects. Ad Hoc Netw 81:160–173

    Google Scholar 

  130. Wang M, Zhang Q (2020) Optimized data storage algorithm of IoT based on cloud computing in distributed system. Comput Commun 157:124–131

    Google Scholar 

  131. Wang H, Osen OL, Li G, Li W, Dai HN, Zeng W (2015) Big data and industrial internet of things for the maritime industry in northwestern norway. In: TENCON 2015–2015 IEEE Region 10 Conference. IEEE, pp 1–5

  132. Wang Y, Nazir Jan M, Chu S, Zhu Y (2020) Use of big data tools and industrial internet of things: an overview. Sci Program 2020:1–10

    Google Scholar 

  133. Ward JS, Barker A (2013) Undefined by data: a survey of big data definitions. arXiv preprint arXiv:1309.5821

  134. Warnakulasooriya K, Jayasuriya YP, Sudantha BH (2018) Generic IoT framework for environmental sensing researches: portable IoT enabled weather station. In: 2018 International Conference on System Science and Engineering (ICSSE). IEEE, pp 1–5

  135. Wixted AJ, Kinnaird P, Larijani H, Tait A, Ahmadinia A, Strachan N (2016) Evaluation of LoRa and LoRaWAN for wireless sensor networks. In: 2016 IEEE SENSORS. IEEE, pp 1–3

  136. Xu J, Zhang J, Zheng X, Wei X, Han J (2015) Wireless sensors in farmland environmental monitoring. In: 2015 international conference on cyber-enabled distributed computing and knowledge discovery. IEEE, pp 372–379

  137. Xu B, Wang W, Wu Y, Shi Y, Lu C (2017) Internet of things and big data analytics for smart oil field malfunction diagnosis. In: 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). IEEE, pp 178–181

  138. Yang L, Yang SH, Plotnick L (2013) How the internet of things technology enhances emergency response operations. Technol Forecast Soc Chang 80(9):1854–1867

    Google Scholar 

  139. Yang C, Su G, Chen J (2017). Using big data to enhance crisis response and disaster resilience for a smart city. In: 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). IEEE, pp 504–507

  140. Yang CT, Chen ST, Den W, Wang YT, Kristiani E (2019) Implementation of an intelligent indoor environmental monitoring and management system in cloud. Futur Gener Comput Syst 96:731–749

    Google Scholar 

  141. Zahid A, Abbas HT, Ren A, Zoha A, Heidari H, Shah SA, Abbasi QH (2019) Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves. Plant Methods 15(1):1–13

  142. Zeinab KAM, Elmustafa SAA (2017) Internet of things applications, challenges and related future technologies. World Sci News 67(2):126–148

    Google Scholar 

  143. Zhang Y, Pu H (2019) Environmental indicators of sustainable computing applications for smart city. Concurr Comput 31(9):e4751

    Google Scholar 

  144. Zhang F, Xue HF, Zhang JC (2018) Multi-source big data dynamic compressive sensing and optimization method for water resources based on IoT. Sustain Comput: Inform Syst 20:210–219

    Google Scholar 

  145. Zhang A, Liu S, Sun G, Huang H, Ma P, Rong J, Wang Z (2019) Clustering of remote sensing imagery using a social recognition-based multi-objective gravitational search algorithm. Cogn Comput 11(6):789–798

  146. Zhang L, Liu Z, Zhang S, Yang X, Qiao H, Huang K, Hussain A (2019) Cross-modality interactive attention network for multispectral pedestrian detection. Inf Fusion 50:20–29

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, National College of Business Administration & Economics Lahore, Sub Campus Multan, Multan, 6000, Pakistan

    Nimra Saeed, Hassaan Malik & Umair Bashir

  2. Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore, 54000, Pakistan

    Hassaan Malik & Ahmad Naeem

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  1. Nimra Saeed
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Saeed, N., Malik, H., Naeem, A. et al. Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions. Multimed Tools Appl 83, 20699–20741 (2024). https://doi.org/10.1007/s11042-023-16328-3

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