Skip to main content

Advertisement

SpringerLink
Log in

Energy Consumption Evaluation of ZigBee Routing Protocols in IOT

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Currently, WSN is a critical component of the IoT environment that allows reliable data collection and delivery. WSN is a fast-paced network, a productive operation that can be used in the event of an emergency along with natural hazards, military forces, fires and asset tracking. In addition, the issues and issues affecting WSN are flexible shifts in topology without any static facilities and limited energy sources. Dynamic topology changes will result in existing data packets for each node, as will the reliability of the network. In order to overcome problems in WSN, the selection of the network topology is merely an attempt to enhance the quality of the network. The QoS dimensions to be assessed seem to be the PACKAGE DELIVERY, PACKAET LOSS, THROUGHPUT, DELAY and overhead routing. This Article sets out a set of performance measures for the objective assessment of different types of protocols. Two of the most common routing protocols were selected: AODV and AOMDV network topology. Consumption of energy seems to be a key QoS function which effects the life of the network sensor. The current research continued to carry out an assessment of the QoS requirements for success, i.e. Using NS2 simulator, that is a discreet Simulation tool operated by event and is open source, packet transmission ratio, throughput, average E2ED delay and energy efficiency Studying the complex design of wireline and wireless communication networks is useful. The results of the computational model also showed that AOMDV efficiency in terms of throughput is much more acceptable than AODV, Average E2ED delay(s) fraction, E2ED delay. In ENERGY CONSUMPTION THROUGHPUT uniform routing load as opposed to AOMDV the AODV protocol did work better.

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
Fig. 14

Similar content being viewed by others

Data Availability

Enquiries about data availability should be directed to the authors

References

  1. Manohara Rao, P., Chalapathi Rao, Y., Ashok Kumar, M. (2018). Performance analysis of ZigBee wireless sensor networks using Riverbed simulation modeler. In Proceedings of the 2nd International Conference on Inventive Systems and Control, ICISC 2018, no. Icisc, pp. 1272–1277.

  2. Mounika, P. (2018). Performance analysis of wireless sensor network topologies for Zigbee using riverbed modeler. In Proceedings of the 2nd International Conference on Inventive Systems and Control, ICISC 2018, no. Icisc, pp. 1456–1459.

  3. This D. (2015) Networks A study on the impact of transmission power on the message delivery latency in large ZigBee networks.

  4. Franco, M. F., et al. (2018). Vigilia: Securing smart home edge computing. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 107(3), 1–6.

    Google Scholar 

  5. Shelar, D., Shaligram, A., Gharpure, D. (2020). QoS Optimization of Wireless Sensor Network for Large Foodgrain Warehouse Monitoring Using NS-2 BT - Advanced Computing and Intelligent Engineering, p. 427–438.

  6. Mahiuob, F., Mokbal, M., Dan, W. (2020) Energy Consumption Evaluation of AODV and AOMDV Routing Protocols in Mobile Ad-Hoc Networks.

  7. Sarkar, A., & Murugan, T. S. (2016). Routing protocols for wireless sensor networks: What the literature says? Alexandria Engineering Journal, 55(4), 3173–3183.

    Article  Google Scholar 

  8. Wang, Q., Wang, D., Qi, X. (2019) An energy-efficient routing protocol for ZigBee networks an energy-efficient routing protocol for ZigBee networks

  9. Rao, P. M., Rao, Y. C. (2018). Performance analysis of ZigBee wireless sensor networks using riverbed simulation modeler,” In 2018 2nd International Conference on Inventive Systems and Control (ICISC), no. Icisc, pp. 1272–1277.

  10. Alexandrov, A., Monov, V., Andreev, R., Doshev, J. (2019) QoS Based Method for Energy Optimization in ZigBee Wireless Sensor Networks BT - Distributed Computer and Communication Networks, pp. 41–52.

  11. Buratti, C., et al. (2019). DETPro: A High-Efficiency and Low-Latency System Against DDoS Attacks in SDN Based on Decision Tree. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 107(1), 1–6.

    MathSciNet  Google Scholar 

  12. Yura, A. M. I., Newaz, S. H. S., Rahman, F. H., Au, T. W., Lee, G. M., & Um, T.-W. (2020). Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure. Journal of Cloud Computing, 9(1), 18.

    Article  Google Scholar 

  13. Cilfone, A., Davoli, L., Belli, L., & Ferrari, G. (2019). Wireless mesh networking: An IoT-oriented perspective survey on relevant technologies. Future Internet, 11(4), 99.

    Article  Google Scholar 

Download references

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

  1. School of Software Engineering, Beijing University of Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing, China

    Alireza Ebrahimi Basabi & Seyed Mahmood Hashemi

Authors
  1. Alireza Ebrahimi Basabi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Seyed Mahmood Hashemi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alireza Ebrahimi Basabi.

Ethics declarations

Conflict of interest

The authors have not disclosed any competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Basabi, A.E., Hashemi, S.M. Energy Consumption Evaluation of ZigBee Routing Protocols in IOT. Wireless Pers Commun 130, 707–727 (2023). https://doi.org/10.1007/s11277-022-10114-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-022-10114-4

Keywords

Search

Navigation