Skip to main content

An Efficient Emergency Management System Using NSGA-II Optimization Technique

  • Conference paper
  • First Online:
Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1199))

Abstract

In emergency circumstances, mobile devices are very much helpful to gather the mandatory information in a powerful way. But it has the constraints like lower energy density and reduced computing capability. In order to reduce mobile phone workloads, high power-draining tasks need to be transferred to the cloud. Moreover, the absence of Internet access often renders it really challenging to transfer data to the destination cloud from the root mobile phone. To solve this issue, we propose an Emergency Management System using NSGA-II Optimization Technique which uses peer-to-peer network communication considering Bluetooth technology with Mobile Probing Service (MPS) and Mobile Ranking Service (MRS) for choosing the good smartphone. Also to find the mobile device which has maximized rank and minimized RNL value, the proposed E2M algorithm uses NSGA-II optimization technique.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kwak, J., Choi, O., Chong, S., Mohapatra, P.: Processor-network speed scaling for energy: Delay tradeoff in smartphone applications. IEEE/ACM Trans. Netw. 24(3), 1647–1660 (2016)

    Google Scholar 

  2. Cuervo, E., Balasubramanian, A., Cho, D.k., Wolman, A., Saroiu, S., Chandra, R., Bahl, P.: Maui: Making smartphones last longer with code offload. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services. MobiSys’10, pp. 49–62 (2010)

    Google Scholar 

  3. Kosta, S., Aucinas, A., Hui, P., Mortier, R., Zhang, X.: Thinkair: dynamic resource allocation and parallel execution in the cloud for mobile code offloading. In: Proceedings - IEEE INFOCOM, pp. 945–953 (2012)

    Google Scholar 

  4. Pan, S., Chen, Y.: Energy-optimal scheduling of mobile cloud computing based on a modified lyapunov optimization method. IEEE Trans. Green Commun. Netw. 3(1) (2019)

    Google Scholar 

  5. Kumar, K., Liu, J., Lu, Y.H., Bhargava, B.: A survey of computation offloading for mobile systems. Mob. Netw. Appl. 18(1), 129–140 (2013)

    Google Scholar 

  6. Ramasamy, V., Gomathy, B.: E2M: An Efficient Emergency Management System. Arab J Sci Eng (2020). https://doi.org/10.1007/s13369-020-04809-8

  7. Mitra, K., Saguna, S., Ahlund, C.: A mobile cloud computing system for emergency management. IEEE Cloud Comput. 1(4), 30–38 (2015)

    Google Scholar 

  8. Panigrahi, C.R., Sarkar, J.L., Tiwary, M., et al.: DATALET: An approach to manage big volume of data in cyber foraged environment. J. Parallel Distrib. Comput. (2019)

    Google Scholar 

  9. Sarkar, J.L., Panigrahi, C.R., Pati, B., Saha, A.K., Majumder, A.: MAAS: a mobile cloud assisted architecture for handling emergency situations. Int. J. Commun Syst. (2019)

    Google Scholar 

  10. Misra, S., Chatterjee, S.: Social choice considerations in cloud-assisted wban architecture for post-disaster healthcare: Data aggregation and channelization. Inf. Sci. 284, 95–117 (2014)

    Google Scholar 

  11. Ramasamy, V., Gomathy, B., Sarkar, J.L., Panigrahi, C.R., Bibud hendu, P., Abhishek, M.: EMC2 : an emergency management system using mobile cloud computing. IET Netw. 2(9), 64–73 (2020)

    Google Scholar 

  12. Bibudhendu, P., Sarkar, J.L., Panigrahi, C.R. and Verma, R.K.: CQS: a conflict-free query scheduling approach in wireless sensor networks. In: Proceedings of 3rd International Conference on Recent Advances in Information Technology (RAIT-2016), pp. 13–18 (2016)

    Google Scholar 

  13. Panigrahi, C.R., Bibudhendu, P., Tiwary, M., Sarkar, J.L.: EEOA: improving energy efficiency of mobile cloudlets using efficient offloading approach. In: Proceedings of IEEE International Conference on Advanced Networks and Telecommunications Systems(IEEE ANTS), pp. 1–6 (2015)

    Google Scholar 

  14. Panigrahi, C.R., Sarkar, J.L., Bibudhendu, P., et al.: E3M: an energy efficient emergency management system using mobile cloud computing. In: 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2016, pp. 1–6 (2017)

    Google Scholar 

  15. Bibudhendu, P., Panigrahi, C. R., and Sarkar, J. L.: CETM: a conflict-free energy efficient transmission policy in mobile cloud computing. Int. J. Commun. Netw. Distrib. Syst. 20, 129 (2018)

    Google Scholar 

  16. Sarkar J.L., Panigrahi C.R., Pati B., Das H.: A novel approach for real-time data management in wireless sensor networks. In: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics, vol 44 (2016)

    Google Scholar 

  17. Sarkar J.L., Panigrahi C.R., Pati B., Trivedi R., Debbarma S.: E2G: A game theory-based energy efficient transmission policy for mobile cloud computing. In: Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol. 563 (2018)

    Google Scholar 

  18. Pati B., Sarkar J.L., Panigrahi C.R., Tiwary M.:ECHSA: an energy-efficient cluster-head selection algorithm in wireless sensor networks. In: Mining Intelligence and Knowledge Exploration. MIKE 2015, vol. 9468 (2015)

    Google Scholar 

  19. Pati B., Sarkar J.L., Panigrahi C.R., Debbarma S.: eCloud: an efficient transmission policy for mobile cloud computing in emergency areas. In: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol. 719 (2018)

    Google Scholar 

  20. Panigrahi C.R., Verma R.K., Sarkar J.L., Pati B.: Energy-aware issues for handling big data in mobile cloud computing. In: Mobile Big Data. Lecture Notes on Data Engineering and Communications Technologies, vol. 10 (2018)

    Google Scholar 

  21. Verma R.K., Pati B., Panigrahi C.R., Sarkar J.L., Mohapatra S.D.: M2C: an energy-efficient mechanism for computation in mobile cloud computing. In: Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol. 563 (2018)

    Google Scholar 

  22. Panigrahi, C.R., Sarkar, J.L., Bibudhendu, P.: Transmission in mobile cloudlet systems with intermittent connectivity in emergency areas. Digit. Commun. Netw. 4 (2017)

    Google Scholar 

  23. Sarkar J.L., Panigrahi C.R., Pati B., Prasath R.: MiW: An MCC-WMSNs integration approach for performing multimedia applications. In: Mining Intelligence and Knowledge Exploration (2017)

    Google Scholar 

  24. Rath, Mamata., Bibudhendu, P., Panigrahi, C. R., Sarkar, J. L.: QTM: A QoS task monitoring system for mobile ad hoc networks. In: Proceedings of the 5th ICACNI (2019)

    Google Scholar 

  25. Deb, K., Pratap, A., Agrawal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Ramasamy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ramasamy, V., Gomathy, B., Verma, R.K. (2021). An Efficient Emergency Management System Using NSGA-II Optimization Technique. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1199. Springer, Singapore. https://doi.org/10.1007/978-981-15-6353-9_44

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-6353-9_44

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6352-2

  • Online ISBN: 978-981-15-6353-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics