Manuscript Number : IJSRSET1841089

Internet of Things-based Smart City Environment using Big Data Analytics

Authors(5) :-Muhammad Ikram, Hussain Khan, Muhammad Awais, Izaz Khan, Mobeen Ahmad

The all-embracing intensification of the Internet of Things (IoT) is offering the trends towards the smart cities. Smart cities are favored because it develops the standard of living of the society and gives better services with regard to quality. These services may include but not limited to parking, water, health, transport, environment, power, and so forth. The varied atmosphere of smart city and IoT is challenged by the processing of gigantic data, and real time decision management. In this article, we explore the use of Big Data analytics in IoT based smart cities development and designing. This paper gives a conceptual apprehension of the use of Big Data analytics in the IoT based smart city environments.

Authors and Affiliations

Muhammad Ikram
Department of Computer Science, Abdul Wali Khan University Mardan
Hussain Khan
Department of Computer Science, Abdul Wali Khan University Mardan
Muhammad Awais
Department of Computer Science, Abdul Wali Khan University Mardan
Izaz Khan
Department of Computer Science, Abdul Wali Khan University Mardan
Mobeen Ahmad
Department of Computer Science, Abdul Wali Khan University Mardan

Smart City, IoT, Big Data Analytics.

  1. Khan, F., ur Rehman, A., Usman, M., Tan, Z., & Puthal, D. (2018). Performance of Cognitive Radio Sensor Networks Using Hybrid Automatic Repeat ReQuest: Stop-and-Wait. Mobile Networks and Applications, 1-10. https://doi.org/10.1007/s11036-018-1020-4
  2. Alam, M., Trapps, P., Mumtaz, S., & Rodriguez, J. (2016). Context-aware cooperative testbed for energy analysis in beyond 4G networks. Telecommunication Systems. doi:10.1007/s11235-016-0171-5
  3. Khan, F., Rahman, F., Khan, S., & Kamal, S. A. (2018). Performance Analysis of Transport Protocols for Multimedia Traffic over Mobile Wi-Max Network Under Nakagami Fading. In Information Technology-New Generations (pp. 101-110). Springer, Cham.
  4. Alam, M., Albano, M., Radwan, A., & Rodriguez, J. (2013). CANDi: context-aware node discovery for short-range cooperation. Transactions on Emerging Telecommunications Technologies, 26(5), 861–875. doi:10.1002/ett.2763
  5. Khan, F., & Nakagawa, K. (2013). Comparative study of spectrum sensing techniques in cognitive radio networks. In Computer and Information Technology (WCCIT), 2013 World Congress on (pp. 1-8). IEEE.
  6. Alam, M., Mumtaz, S., Saghezchi, F. B., Radwan, A., Rodriguez, J. (2013). Energy and Throughput Analysis of Reservation Protocols of Wi Media MAC. Journal of Green Engineering, 3(4), 363–382. doi:10.13052/jge1904-4720.341
  7. Alam, M., Yang, D., Huq, K., Saghezchi, F., Mumtaz, S., & Rodriguez, J. (2015). Towards 5G: Context Aware Resource Allocation for Energy Saving. Journal of Signal Processing Systems, 83(2), 279–291. doi:10.1007/s11265-015-1061
  8. Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2014). PASCCC: Priority-based application-specific congestion control clustering protocol. Computer Networks, 74, 92-102.
  9. Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2015, August). A sybil attack detection scheme for a centralized clustering-based hierarchical network. In Trustcom/BigDataSE/ISPA, 2015 IEEE (Vol. 1, pp. 318-325). IEEE.
  10. Jan, M. A., Nanda, P., He, X., Tan, Z., & Liu, R. P. (2014, September). A robust authentication scheme for observing resources in the internet of things environment. In Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International Conference on (pp. 205-211). IEEE.
  11. Jan, M., Nanda, P., Usman, M., & He, X. (2017). PAWN: a payload?based mutual authentication scheme for wireless sensor networks. Concurrency and Computation: Practice and Experience, 29(17).
  12. Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2013, November). Enhancing lifetime and quality of data in cluster-based hierarchical routing protocol for wireless sensor network. In High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on (pp. 1400-1407). IEEE.
  13. Khan, F. (2014, May). Fairness and throughput improvement in multihop wireless ad hoc networks. In Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on (pp. 1-6). IEEE.
  14. Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2018). A Sybil attack detection scheme for a forest wildfire monitoring application. Future Generation Computer Systems, 80, 613-626
  15. Jan, M. A., Nanda, P., & He, X. (2013, June). Energy evaluation model for an improved centralized clustering hierarchical algorithm in WSN. In International Conference on Wired/Wireless Internet Communication (pp. 154-167). Springer, Berlin, Heidelberg.
  16. Usman, M., Jan, M. A., & He, X. (2017). Cryptography-based secure data storage and sharing using HEVC and public clouds. Information Sciences, 387, 90-102.
  17. Usman, M., Jan, M. A., He, X., & Nanda, P. (2016, August). Data sharing in secure multimedia wireless sensor networks. In Trustcom/BigDataSE/I? SPA, 2016 IEEE (pp. 590-597). IEEE
  18. Khan, F., Khan, M., Iqbal, Z., ur Rahman, I., & Alam, M. (2016, September). Secure and Safe Surveillance System Using Sensors Networks-Internet of Things. In International Conference on Future Intelligent Vehicular Technologies (pp. 167-174). Springer, Cham.
  19. Usman, M., Yang, N., Jan, M. A., He, X., Xu, M., & Lam, K. M. (2018). A joint framework for QoS and QoE for video transmission over wireless multimedia sensor networks. IEEE Transactions on Mobile Computing, 17(4), 746-759.
  20. Khan, F., ur Rahman, I., Khan, M., Iqbal, N., & Alam, M. (2016, September). CoAP-Based Request-Response Interaction Model for the Internet of Things. In International Conference on Future Intelligent Vehicular Technologies (pp. 146-156). Springer, Cham.
  21. Fida, N., Khan, F., Jan, M. A., & Khan, Z. (2016, September). Performance Analysis of Vehicular Adhoc Network Using Different Highway Traffic Scenarios in Cloud Computing. In International Conference on Future Intelligent Vehicular Technologies (pp. 157-166). Springer, Cham.
  22. Jan, M. A., Khan, F., Alam, M., & Usman, M. (2017). A payload-based mutual authentication scheme for Internet of Things. Future Generation Computer Systems.
  23. Usman, M., He, X., Lam, K. K., Xu, M., Chen, J., Bokhari, S. M. M., & Jan, M. A. (2017). Error Concealment for Cloud-based and Scalable Video Coding of HD Videos. IEEE Transactions on Cloud Computing.
  24. Yang, N., Usman, M., He, X., Jan, M. A., & Zhang, L. (2017). Time-Frequency Filter Bank: A Simple Approach for Audio and Music Separation. IEEE Access, 5, 27114-27125.
  25. Usman, M., Jan, M. A., He, X., & Alam, M. (2018). Performance evaluation of High Definition video streaming over Mobile Ad Hoc Networks. Signal Processing, 148, 303-313.
  26. Jabeen, Q., Khan, F., Hayat, M. N., Khan, H., Jan, S. R., & Ullah, F. (2016). A Survey: Embedded Systems Supporting By Different Operating Systems. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN, 2395-1990.
  27. Usman, M., Jan, M. A., He, X., & Nanda, P. (2018). QASEC: A secured data communication scheme for mobile Ad-hoc networks. Future Generation Computer Systems.
  28. Jan, M. A., Tan, Z., He, X., & Ni, W. (2018). Moving Towards Highly Reliable and Effective Sensor Networks.
  29.  Jan, M. A., Jan, S. R. U., Alam, M., Akhunzada, A., & Rahman, I. U. (2018). A Comprehensive Analysis of Congestion Control Protocols in Wireless Sensor Networks. Mobile Networks and Applications, 1-13.
  30. Alam, M., Ferreira, J., Mumtaz, S., Jan, M. A., Rebelo, R., & Fonseca, J. A. (2017). Smart Cameras Are Making Our Beaches Safer: A 5G-Envisioned Distributed Architecture for Safe, Connected Coastal Areas. IEEE Vehicular Technology Magazine, 12(4), 50-59.
  31. Jan, M.A., Usman, M., He, X., &, Rehman, A.U. (2018). SAMS: A Seamless and Authorized Multimedia Streaming framework for WMSN-based IoMT. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2018.2848284
  32. M. A. Jan, S. R. Jan, M. Usman, M. Alam. (2018),  State-of-the-Art Congestion Control Protocols in WSN: A Survey, IoT EAI, DOI: 10.4108/eai.26-3-2018.154379

Publication Details

Published in : Volume 4 | Issue 10 | September-October 2018
Date of Publication : 2018-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 387-394
Manuscript Number : IJSRSET1841089
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Muhammad Ikram, Hussain Khan, Muhammad Awais, Izaz Khan, Mobeen Ahmad, " Internet of Things-based Smart City Environment using Big Data Analytics, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 10, pp.387-394, September-October-2018. Available at doi : https://doi.org/10.32628/18410IJSRSET
Journal URL : http://ijsrset.com/IJSRSET1841089

Article Preview

Get in Touch

Follow Us

Contact Us

IJSRSET @ Copyright 2019. All Rights Reserved.