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Recent Advances in Electrical & Electronic Engineering

Author(s): Ahmed G. Wadday*, Ahmed A.J. Al-hchaimi and Ahmed J. Ibrahim

DOI: 10.2174/2352096512666191127091130

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IOT Energy Consumption Based on PSO-shortest Path Techniques

Page: [993 - 1000] Pages: 8

  • * (Excluding Mailing and Handling)

Abstract

Background: The Internet of Thing is a network that enables multiple hardware devices, sensors and other home applications from electronically communicate with each other. New era such technology is increasing importance mainly due to the revolutionary development of information technologies.

Methods: However, energy efficiency is still a big challenge facing IoT technology. Thus, it becomes an interesting topic for many researchers to investigate. Current work aims to reduce the energy consumption thereby introducing the shortest path technique and another new practicing for Particle Swarm Optimization algorithm in the Internet of Thing cooperative clusters.

Results: The main concept is based on cluster heads cooperation with each other known as Cooperative Clusters to transfer information to the base station. The Primary results reveals a 17% and 16% reduction in energy consumption was achieved over the shortest path technique and Particle Swarm Optimization algorithm respectively. Results also show a remarkable improvement in the system lifetime due to the new applied scheme.

Conclusion: The other method is by PSO algothrim at beginig it sending Randomly then it will select the path by using the feed back acknowledgment after that it will collect the information by sending it for the Cluster heads by updating the information status automatically. That’s why we discovered the PSO advantages than the others.

Keywords: Cooperative clusters, IOT, PSO, energy consumption, cooperative clusters, PSO algorithm.

Graphical Abstract

[1]
S. Wasoontarajaroen, "Development of an IoT device for monitoring electrical energy consumption", In:, 9th International Conference on Information Technology and Electrical Engineering (ICITEE), Phuket, Thailand , 2017.
[http://dx.doi.org/10.1109/ICITEED.2017.8250475]
[2]
S. Kallam, R.B. Madda, C-Y. Chen, R. Patan, and D. Cheelu, "Low energy aware communication process in IoT using the green computing approach", IET Netw., vol. 7, no. 4, pp. 258-264, 2017.
[http://dx.doi.org/10.1049/iet-net.2017.0105]
[3]
W. Wu, N. Xiong, and C. Wu, "Improved clustering algorithm based on energy consumption in wireless sensor networks", IET Netw., vol. 6, no. 3, pp. 47-53, 2017.
[http://dx.doi.org/10.1049/iet-net.2016.0115]
[4]
R.E. Mohemed, A.I. Saleh, M. Abdelrazzak, and A.S. Samra, "Energy-efficient routing protocols for solving energy hole problem in wireless sensor networks", Comput. Netw, vol. Vol. 114, 2017.
[http://dx.doi.org/10.1016/j.comnet.2016.12.011]
[5]
G. Sandhiya, and ramyajothikumar Mrs.,; "Enhanced K-Means with Dijikstra algorithm for energy consumption in wireless sensor network," presented at the IEEE", In: , 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, . 2016
[6]
N. Chen, Improvement of LEACH Algorithm for Wireless Sensor Networks., Beijing University of Post and Telecommunication, 2008, pp. 1-71.
[7]
T. Wu, and J. Hu, "Improvement of LEACH in wireless sensor networks", Comput. Tech., vol. 19, no. 3, pp. 80-83, 2009.
[8]
G. Haosong, and Y. Younghwan, "An energy balancing LEACH algorithm for wireless sensor networks", In: , 7th International Conference on Information Technology Computer Society, 2010, pp. 822-827.
[9]
F. Wan, and F. Du, "Improvement and Simulation of LEACH in Wireless Sensor Networks", Computer. Appl. Software, vol. 28, no. 4, pp. 113-116, 2011.
[10]
L.Y. Barai, and M.A. Gaikwad, "Performance evaluation of LEACH protocol for wireless sensor network", Int. J. Innovat. Res. Adv. Eng. (IJIRAE), vol. 1, no. 6, . 2014
[11]
A.A. Kharazian, K. Jamshidi, and M.R. Khayyambashi, "Adaptive clustering in wireless sensor network: Considering nodes with lowest energy", Int. J. Ad Hoc, Sensor Ubiquit. Comput., (IJASUC),, vol. 3, no. 2, . 2012
[http://dx.doi.org/10.5121/ijasuc.2012.3201]
[12]
X. Kui, J. Wang, S. Zhang, and J. Cao, "Energy balanced clustering data collection based on dominating set in wireless sensor networks", Ad Hoc Sensor Wirel. Netw. J., vol. 24, pp. 199-217, 2015.
[13]
J. Bahi, A. Makhoul, and M. Medlej, "A two tiers data aggregation scheme for periodic sensor networks", Ad Hoc Sensor Wirel. Netw. J., vol. 21, no. 1-2, pp. 59-71, 2014.
[14]
S. Monika, and N. Yadav, "LEACH-I algorithm for WSN", Int. J. Innovat. Res. Comput. Commun. Eng., vol. 4, no. 3, pp. 3459-3466, 2016.
[http://dx.doi.org/10.15680/IJIRCCE.2016. 0403129]
[15]
Y. Zhang, C-K. Lim, and Z. Dai, "Photonics and optoelectronics using nano-structured hybrid perovskite media and their optical cavities", Phys. Rep., 2019.
[http://dx.doi.org/10.1016/j.physrep.2019.01.005]
[16]
J. Janga, I.Y. Junga, and J.H. Parkb, "An Effective Handling of Secure Data Stream in IoT", Appl. Soft Comput., vol. 68, pp. 811-820, 2018.
[http://dx.doi.org/10.1016/j.asoc.2017.05.020]
[17]
M. Razzaq, G-R. Kwon, and S. Shin, "Energy efficient Dijkstra-based weighted sum minimization routing protocol for WSN", In: , Third International Conference on Fog and Mobile Edge Computing (FMEC), vol. 78, 2018, pp. 246-251.
[http://dx.doi.org/10.1109/FMEC.2018.8364074]
[18]
J. Zheng, Z. Yang, C. Si, Z. Liang, X. Chen, R. Cao, Z. Guo, K. Wang, Y. Zhang, J. Ji, M. Zhang, D. Fan, and H. Zhang, "Black phosphorus based all-optical-signal-processing: toward high performances and enhanced stability", ACS Photonics, vol. 4, no. 6, pp. 1466-1476, 2017.
[http://dx.doi.org/10.1021/acsphotonics.7b00231]