Skip to main content
Log in

Fixed Urgent Window Pass for a Wireless Network with User Preferences

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This research considers the router allocation problem in situations with sensitive, highest-priority, and severe demand constraints. Examples include bespoke communication, masquerade communication, war, disasters, and various crises (political, social, etc.). Specifically, by introducing a network component called the scheduler. The scheduler is established to provide the intelligencers the highest priority to forwarding their packets based on their preferences at any time. Intelligencers define their preferences to control the data release time, due time, and static window transmission time-slot. Each window represents a reserved time-slot for the intelligencer. A window is an interval when the intelligencer can send data without any contention and can block any other user trying to gain access to the router during this interval. The reserved interval is called a “static urgent window pass”. For each block of the received data, the scheduler solves a scheduling problem with the windows reserved for the router based on the given constraints, which is an NP-hard problem. This work proposes eight heuristics based on dispatching with constraints, iterative randomization method, and subset-sum method to solve the studied problem. These heuristics are utilized by the two proposed algorithms to forward data from the sender to the receiver based on the specified constraints. The first algorithm prioritizes the set of packets to be sent and is called the “priority packet-based algorithm”. The second algorithm is called the “cumulative packet-based algorithm” and is based on the non-priority set of the remaining packets. At any time other than the specified window, the scheduler rearranges and reschedules all the remaining (non-scheduled) packets. Experimental results showed the performance of the proposed heuristics in terms of gap and time. In the performed experiments, the scheduler was capable to pass the router role and gain the control to send the required data based on the specified constraints.

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

Access this article

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
Fig. 14

Similar content being viewed by others

References

  1. Ahmed, Z., Hamma, S., & Nasir, Z. (2019). An optimal bandwidth allocation algorithm for improving qos in wimax. Multimedia Tools and Applications pp. 1–40.

  2. Alquhayz, H. (2019). User preferences with urgent-time intervals in a wireless-network. Communications in Mathematics and Applications, 10(1), 123–130.

    Google Scholar 

  3. Anajemba, J.H., Yue, T., Iwendi, C., Chatterjee, P., Ngabo, D., & Alnumay, W.S. (2021). A secure multi-user privacy technique for wireless iot networks using stochastic privacy optimization. IEEE Internet of Things Journal

  4. Bhatt, S., & Ragiri, P. R., et al. (2021). Security trends in internet of things: a survey. SN Applied Sciences, 3(1), 1–14.

  5. Dabhade, V.D., & Alvi, A. (2021). Review of wireless sensor network security schemes. In: Intelligent Computing and Networking, pp. 41–51. Springer

  6. Dardari, D., & Massari, D. (2021). Using metaprisms for performance improvement in wireless communications. IEEE Transactions on Wireless Communications.

  7. Dziubinski, K., & Bandai, M. (2021). Bandwidth efficient iot traffic shaping technique for protecting smart home privacy from data breaches in wireless lan. IEICE Transactions on Communications p. 2020EBP3182

  8. Elhoseny, M., Farouk, A., Zhou, N., Wang, M. M., Abdalla, S., & Batle, J. (2017). Dynamic multi-hop clustering in a wireless sensor network: performance improvement. Wireless Personal Communications, 95(4), 3733–3753.

    Article  Google Scholar 

  9. Hajar, M.S., Al-Kadri, M.O., & Kalutarage, H.K. (2021). A survey on wireless body area networks: Architecture, security challenges and research opportunities. Computers & Security p. 102211

  10. Haoxiang, W., & Smys, S. (2020). Soft computing strategies for optimized route selection in wireless sensor network. Journal of Soft Computing Paradigm (JSCP), 2(01), 1–12.

    Article  Google Scholar 

  11. Jemmali, M., & Alquhayz, H. (2020). Time-slots transmission data algorithms into network. In: 2020 International Conference on Computing and Information Technology (ICCIT-1441), pp. 1–4. IEEE

  12. Kulin, M., Kazaz, T., De Poorter, E., & Moerman, I. (2021). A survey on machine learning-based performance improvement of wireless networks: Phy, mac and network layer. Electronics, 10(3), 318.

    Article  Google Scholar 

  13. Naik, D., Dora, S., & De, T., et al. (2019). Normalized uplink bandwidth scheduling algorithm for wimax networks. In: Advances in Computer, Communication and Control, pp. 311–325. Springer

  14. Sreenivasulu, U., Naganjaneyulu, P., & Giriprasad, M. (2018). Downlink scheduling algorithm for wimax protocol to improve qos. Arabian Journal for Science and Engineering, 43(8), 4105–4114.

    Article  Google Scholar 

  15. Yadav, A., Vyavahare, P., & Bansod, P. (2015). Review of wimax scheduling algorithms and their classification. Journal of The Institution of Engineers (India): Series B, 96(2), 197–208.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Deanship of Scientific Research at Majmaah University for supporting this work under Project Number No. 38/90.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hani Alquhayz.

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

Alquhayz, H., Jemmali, M. Fixed Urgent Window Pass for a Wireless Network with User Preferences. Wireless Pers Commun 120, 1565–1591 (2021). https://doi.org/10.1007/s11277-021-08524-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-08524-x

Keywords

Navigation