Skip to main content

Advertisement

SpringerLink
Log in

Stochastic game network based model for disaster management in smart industry

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

The smart building notion merges the pervasive sensing ability of IoT technology with the industrial infrastructure to automate decision-making during disastrous emergency. Conspicuously, a novel Stochastic Game Network (SGN) technique is proposed to reduce tangible and intangible disaster-related infrastructural losses. In particular, IoT technology is used to manage and control disasters in the SGN-based smart industry framework. Every IoT sensor functions as an individual player with predefined action sets and strategies in the proposed technique. Overall SGN of the smart industry is implemented by collaborating SGN of an individual sensor and disastrous events are analyzed using Bayesian Belief Model. The model deployed with various sensors in IoT-based industry detects disasters in advance and generates advanced warning notifications to management and control units based on game-theoretic decision-making. Simulations on 4 challenging datasets, namely Gas Sensor Array Drift, Industrial Safety and Health Analytic, Oil Spill Records, and Fire Response Times demonstrates the efficacy of a proposed model. To assess the overall effectiveness of the proposedapproach, the results are compared with other state-of-the-art decision-making techniques. Based on Gambit 14.1.1 simulations, improved findings for statistical performance parameters including Precision (93.04%), Specificity (92.35%), and Sensitivity (93.36%) were registered. Also, the mathematical analysis was performed to evaluate the effectiveness of the presented methodology

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
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Notes

  1. Source: https://www.thehindubusinessline.com/companies/3-workers-die-47-are-injured-every-day-in-factory-accidents/.

  2. Source: https://timesofindia.indiatimes.com/business/india-business/48000-die-due-to-occupational-accidents-yearly-study/.

  3. Source: https://archive.ics.uci.edu/.

  4. Source: https://www.kaggle.com/.

  5. Source: https://www.kaggle.com/.

  6. Source: https://data.world/.

  7. source: https://www.cs.waikato.ac.nz/ml/weka/.

References

  • Adeel A, Gogate M, Farooq S, Ieracitano C, Dashtipour K, Larijani H, Hussain A (2019) A survey on the role of wireless sensor networks and iot in disaster management. Geological disaster monitoring based on sensor networks. Springer, Berlin, pp 57–66

    Chapter  Google Scholar 

  • Alrawais A, Alhothaily A, Hu C, Cheng X (2017) Fog computing for the internet of things: security and privacy issues. IEEE Internet Comput 21(2):34–42

    Article  Google Scholar 

  • Araujo E, Dantas J, Matos R, Pereira P, Maciel P(2019) Dependability evaluation of an iot system: a hierarchical modelling approach. In: 2019 IEEE international conference on systems, man and cybernetics (SMC), IEEE, pp 2121–2126

  • Balakrishnan M, Trivedi KS (1996) Stochastic petri nets for the reliability analysis of communication network applications with alternate-routing. Reliab Eng Syst Saf 52(3):243–259

    Article  Google Scholar 

  • Bhatia M (2020) Game theory based framework of smart food quality assessment. Trans Emerg Telecommun Technol:e3926

  • Bhatia M, Sood SK (2019) Exploring temporal analytics in fog-cloud architecture for smart office healthcare. Mob Netw Appl 24(4):1392–1410

    Article  Google Scholar 

  • Bhatia M, Sood SK (2020) Quantum computing-inspired network optimization for iot applications. IEEE Internet Things J

  • Chang C, Srirama SN, Buyya R (2019) Internet of things (iot) and new computing paradigms. Fog and edge computing: principles and paradigms 6:1–23

    Google Scholar 

  • Chen K, Wang C, Chen L, Niu X, Zhang Y, Wan J (2020) Smart safety early warning system of coal mine production based on wsns. Saf Sci 124

  • Friedman D et al (1991) Evolutionary games in economics. Econometrica 59(3):637–666

    Article  MathSciNet  MATH  Google Scholar 

  • Ghapar AA, Yussof S, Bakar AA (2018) Internet of things (iot) architecture for flood data management. Int J Future Gen Commun Netw 11(1):55–62

    Google Scholar 

  • Greco L, Ritrovato P, Tiropanis T, Xhafa F (2018) Iot and semantic web technologies for event detection in natural disasters. Concurr Comput Pract Exp 30(21)

  • Guerrero-Ibanez JA, Zeadally S, Contreras-Castillo J (2015) Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. IEEE Wirel Commun 22(6):122–128

    Article  Google Scholar 

  • Hashem IAT, Anuar NB, Marjani M, Ahmed E, Chiroma H, Firdaus A, Abdullah MT, Alotaibi F, Ali WKM, Yaqoob I et al (2018) Mapreduce scheduling algorithms: a review. J Supercomput:1–31

  • Ji X, Yang K, Na X, Lv C, Liu Y (2018) Shared steering torque control for lane change assistance: a stochastic game-theoretic approach. IEEE Trans Ind Electron 66(4):3093–3105

    Article  Google Scholar 

  • Khan MA, Salah K (2018) Iot security: review, blockchain solutions, and open challenges. Future Gen Comput Syst 82:395–411

    Article  Google Scholar 

  • Lalropuia K, Gupta V (2019) Modeling cyber-physical attacks based on stochastic game and markov processes. Reliab Engi Syst Saf 181:28–37

    Article  Google Scholar 

  • Liao W, Salinas S, Li M, Li P, Loparo KA (2017) Cascading failure attacks in the power system: a stochastic game perspective. IEEE Internet Things J 4(6):2247–2259

    Article  Google Scholar 

  • Lin T-H, Liaw D-C (2015) Development of an intelligent disaster information-integrated platform for radiation monitoring. Nat Hazards 76(3):1711–1725

    Article  Google Scholar 

  • Lu Y (2017) Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration 6:1–10

    Article  Google Scholar 

  • Nie X, Fan T, Wang B, Li Z, Shankar A, Manickam A (2020) Big data analytics and iot in operation safety management in under water management. Comput Commun 154:188–196

    Article  Google Scholar 

  • Orojloo H, Azgomi MA (2018) A stochastic game model for evaluating the impacts of security attacks against cyber-physical systems. J Netw Syst Manag 26(4):929–965

    Article  Google Scholar 

  • Poland MP, Nugent CD, Wang H, Chen L (2012) Genetic algorithm and pure random search for exosensor distribution optimisation. Int J Bio-Inspir Comput 4(6):359–372

    Article  Google Scholar 

  • Poslad S, Middleton SE, Chaves F, Tao R, Necmioglu O, Bügel U (2015) A semantic iot early warning system for natural environment crisis management. IEEE Trans Emerg Top Comput 3(2):246–257

    Article  Google Scholar 

  • Qazi A, Dickson A, Quigley J, Gaudenzi B (2018) Supply chain risk network management: a Bayesian belief network and expected utility based approach for managing supply chain risks. Int J Prod Econ 196:24–42

    Article  Google Scholar 

  • Radhakrishna V, Aljawarneh SA, Kumar PV, Janaki V (2018) A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining. Future Gen Comput Syst 83:582–595

    Article  Google Scholar 

  • Ryu C-S (2015) Iot-based intelligent for fire emergency response systems. Int J Smart Home 9(3):161–168

    Article  Google Scholar 

  • Salhi L, Silverston T, Yamazaki T, Miyoshi T (2019) Early detection system for gas leakage and fire in smart home using machine learning. In: 2019 IEEE international conference on consumer electronics (ICCE). IEEE, pp 1–6

  • Sandhu R, Sood SK (2017) A stochastic game net-based model for effective decision-making in smart environments. Concurr Comput Pract Exp 29(20)

  • 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

    Article  Google Scholar 

  • Vinothkumar C, Kumar K, Elavarasan R (2014) An integrated surveillance system to detect fire and gas leakage in petrochemical industry using zigbee protocol. Int J Adv Res Electr Electron Instrum Eng 3:11146–11154

    Google Scholar 

  • Wang Y, Yu M, Li J, Meng K, Lin C, Cheng X (2012) Stochastic game net and applications in security analysis for enterprise network. Int J Inf Secur 11(1):41–52

    Article  Google Scholar 

  • Yu Z, Au MH, Xu Q, Yang R, Han J (2018) Towards leakage-resilient fine-grained access control in fog computing. Future Gen Comput Syst 78:763–777

    Article  Google Scholar 

  • Zhang P, Liu JK, Yu FR, Sookhak M, Au MH, Luo X (2018) A survey on access control in fog computing. IEEE Commun Mag 56(2):144–149

    Article  Google Scholar 

  • Zheng J, Cai Y, Wu Y, Shen X (2018) Dynamic computation offloading for mobile cloud computing: a stochastic game-theoretic approach. IEEE Trans Mob Comput 18(4):771–786

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India

    Avneet Kaur & Munish Bhatia

Authors
  1. Avneet Kaur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Munish Bhatia
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Avneet Kaur.

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

Kaur, A., Bhatia, M. Stochastic game network based model for disaster management in smart industry. J Ambient Intell Human Comput 14, 5151–5169 (2023). https://doi.org/10.1007/s12652-021-03090-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-021-03090-3

Keywords

Search

Navigation