• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 11, Pages: 785-794

Original Article

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Received Date:12 December 2022, Accepted Date:11 February 2023, Published Date:15 March 2023

Abstract

Objectives: To improve the energy efficiency in IoT-based wireless sensor networks. To increase the sensor node lifetime in any wireless sensor network (WSN) based on the Energy-efficient cluster and routing in WSN. The advancement in the electronic industry has to develop the low powerconsuming and low-cost devices for multiple purposes. Methods: A new algorithm is proposed to improve the energy efficiency in IoT-based WSN for routing algorithms. The low power consuming devices are wisely chosen for the respected application and their power management. This study is intended to provide efficient routing algorithms with less energy consumption in wireless sensor networks. Findings: A wireless sensor network deployed with a number of non-static nodes in a communication network are beneficial for numerous fields such as the military, medical sector, structural health monitoring, transportation industries, etc. In this paper, the performance parameters like average throughput, average end-to-end delay, packet delivery ratio, average node energy, and normalized routing load are analyzed. Novelty: We designed and simulated the Distributed IoT-based wireless network system to analyze the information of nodes roaming in the vicinity of the zone area. In proposed technique energy efficiency is increased compared to the conventional algorithm. In node centric routing protocol, energy efficiency is increased from 55% to 68%. In data centric routing protocol, energy efficiency is increased from 65% to 75%. In source-initiated routing protocol, energy efficiency is increased from 68% to 80%. In destination-initiated routing protocol, energy efficiency is increased from 72% to 85%.

Keywords: Ad Hoc OnDemand stance Vector (AODV); DestinationSequenced DistanceVector Routing (DSDV); Dynamic source routing (DSR); MQ Telemetry Transport (MQTT); Quality of Services (QoS); Wireless Sensor Network (WSN)

References

  1. El-Fouly FH, Khedr AY, Sharif MH, Alreshidi EJ, Yadav K, Kusetogullari H, et al. ERCP: Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks. Sensors. 2022;22(22):8950. Available from: https://doi.org/10.3390/s22228950
  2. Dogra R, Rani S, Kavita, Shafi J, Kim S, Ijaz MF. ESEERP: Enhanced Smart Energy Efficient Routing Protocol for Internet of Things in Wireless Sensor Nodes. Sensors. 2022;22(16):6109. Available from: https://doi.org/10.3390/s22166109
  3. Behera TM, Samal UC, Mohapatra SK, Khan MS, Appasani B, Bizon N, et al. Energy-Efficient Routing Protocols for Wireless Sensor Networks: Architectures, Strategies, and Performance. Electronics. 2022;11(15):2282. Available from: https://doi.org/10.3390/electronics11152282
  4. Ding Z, Shen L, Chen H, Yan F, Ansari N. Energy-Efficient Relay-Selection-Based Dynamic Routing Algorithm for IoT-Oriented Software-Defined WSNs. IEEE Internet of Things Journal. 2020;7(9):9050–9065. Available from: https://doi.org/10.1109/JIOT.2020.3002233
  5. CRKJ, VKD, MAB, Majid MA. Energy-Efficient Adaptive Clustering and Routing Protocol for Expanding the Life Cycle of the IoT-based Wireless Sensor Network. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 2022;p. 328–336. Available from: https://doi.org/10.1109/ICCMC53470.2022.9753809
  6. Mohamed A, Saber W, Elnahry I, Hassanien AE. Coyote Optimization Based on a Fuzzy Logic Algorithm for Energy-Efficiency in Wireless Sensor Networks. IEEE Access. 2020;8:185816–185829. Available from: https://doi.org/10.1109/ACCESS.2020.3029683
  7. Xu C, Xiong Z, Zhao G, Yu S. An Energy-Efficient Region Source Routing Protocol for Lifetime Maximization in WSN. IEEE Access. 2019;7:135277–135289. Available from: https://doi.org/10.1109/ACCESS.2019.2942321
  8. Sheth SD, Verma Y, Kaur G, Chanak P. An energy optimized routing algorithm for IoT-enabled WSN. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT). 2021;p. 308–312. Available from: https://doi.org/10.1109/CCICT53244.2021.00064
  9. SS, AJ, Doshi N. An Analytical Survey of Energy Efficiency in IoT Paradigm. Procedia Computer Science. 2022;210:283–288. Available from: https://doi.org/10.1016/j.procs.2022.10.151
  10. Gupta SK, Singh S. Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies. International Journal of Communication Systems. 2022;35(11):5194. Available from: https://doi.org/10.1002/dac.5194
  11. Karabekir B, Aydin MA, Zaim AH. Energy-Efficient Clustering-Based Mobile Routing Algorithm For Wireless Sensor Networks. Electrica. 2021;21(1):41–49. Available from: https://doi.org/10.5152/electrica.2021.20035

Copyright

© 2023 Shilpa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)

DON'T MISS OUT!

Subscribe now for latest articles and news.