Improved Quality of Services with Intelligent MAC in Wireless Sensor Networks for Mission Critical Applications

Authors

  • Abhijit Halkai Department of Computer Science Engineering, Poojya Dodappa Appa College of Engineering, Kalaburagi, Karnataka, India
  • Sujatha Terdal Department of Computer Science Engineering, Poojya Dodappa Appa College of Engineering, Kalaburagi, Karnataka, India
  • Shivani Bhasgi Department of Computer Science Engineering, Poojya Dodappa Appa College of Engineering, Kalaburagi, Karnataka, India

DOI:

https://doi.org/10.51983/ajes-2022.11.2.3546

Keywords:

WSN, MAC, Duty Cycling, Clustering

Abstract

Wireless sensor networks are very feasible to monitor where human reach is impossible. But conserving the limited resource and maintaining Quality of service is the challenging task. There is most need to design an algorithm to maintain quality of services. In this paper we have designed node layered division MAC with adaptive listening based on the queue size at the transmitting cluster node. The proposed protocol attenuates the problem of collision and unfair distribution of power among the nodes. When compared with the existing algorithms, IQMAC outperforms in terms of network lifetime, delay, PDR and collision probability.

References

A. Halkai and S. Terdal, "A Survey on Bioinspired Cluster-Based Routing and Cognitive Approaches in Wireless Sensor Networks," pp. 1-12, 2021, DOI: 10.14456/ITJEMAST.2021.45.

K. F. Ramadan, M. I. Dessouky, M. Abd-Elnaby, and F. E. Abd El-Samie, "Node-power-based MAC protocol with adaptive listening period for wireless sensor networks," AEU - Int. J. Electron. Commun., vol. 84, pp. 46-56, 2018, DOI: 10.1016/j.aeue.2017.10.034.

R. W. Thomas, L. A. DaSilva, and A. B. MacKenzie, "Cognitive networks," in 2005 1st IEEE Int. Symp. New Front. Dyn. Spectr. Access Networks, DySPAN 2005, 2005, pp. 352-360, DOI: 10.1109/DYSPAN.2005.1542652.

S. S. Bhasgi and S. Terdal, "Delay Aware Efficient Mobile Sink Path with Distributed Fault Detection and Recovery in Wireless Sensor Networks," Int. J. Comput. Digit. Syst., vol. 11, no. 1, pp. 521-530, 2022, DOI: 10.12785/ijcds/110142.

G. Sakya and V. Sharma, "MAC Protocol with Regression based Dynamic Duty Cycle Feature for Mission Critical Applications in WSN," Int. J. Adv. Comput. Sci. Appl., vol. 8, no. 6, pp. 198-206, 2017, DOI: 10.14569/ijacsa.2017.080625.

R. Thalore, Manju, and M. K. Jha, "Optimized ML-MAC for energy-efficient Wireless Sensor Network protocol," in Proc. 5th Int. Conf. Conflu. 2014 Next Gener. Inf. Technol. Summit, 2014, pp. 396-400, DOI: 10.1109/CONFLUENCE.2014.6949326.

G. Sakya and V. Sharma, "ADMC-MAC: Energy efficient adaptive MAC protocol for mission critical applications in WSN," Sustain. Comput. Informatics Syst., vol. 23, pp. 21-28, 2019, DOI: 10.1016/j.suscom.2019.05.001.

A. Halkai and S. Terdal, "ESRRAK-Efficient Self-Route Recovery in Wireless Sensor Networks Using ACO Aggregation and K-Means Algorithm," in Smart Computing Techniques and Applications, 2021, pp. 719-727.

A. Halkai and S. Terdal, "QALPA- An Efficient QoS Aware Hybrid Localization Model Using Particle Swarm Optimization and Ant Colony Optimization for Cognitive Wireless Sensor Networks," Int. J. Intell. Eng. Syst., vol. 14, no. 1, pp. 270-280, Feb. 2021, DOI: 10.22266/ijies2021.0228.26.

S. Misra and D. Mohanta, "Adaptive listen for energy-efficient medium access control in wireless sensor networks," Multimed. Tools Appl., vol. 47, no. 1, pp. 121-145, 2010, DOI: 10.1007/s11042-009-0410-9.

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Published

08-11-2022

How to Cite

Halkai, A., Terdal, S., & Bhasgi, S. (2022). Improved Quality of Services with Intelligent MAC in Wireless Sensor Networks for Mission Critical Applications. Asian Journal of Electrical Sciences, 11(2), 30–34. https://doi.org/10.51983/ajes-2022.11.2.3546