Proposing a Algorithm for Optimizing Energy Consumption

Authors

  • Amir Hossein Derakhshanfard 1.Department of Mechanic, Hamedan Branch, Islamic Azad University, Hamedan, Iran

DOI:

https://doi.org/10.63053/ijset.7

Keywords:

Optimization, Energy Consumption, Wireless Sensor Networks, Social Spider Algorithm

Abstract

The purpose of this paper is to use the social spider algorithm to improve energy consumption in wireless sensor networks. In this regard, finding a suitable place for routers was done with a social spider algorithm in the system by selecting and optimally placing elements in the network and revising the Objective function. To use it, the initial number was 12, and the maximum number of loop iterations in the algorithm was 100 replications. We achieved these values with several runs and errors. Besides, to achieve the best results, to solve the problem, they can be considered as the default algorithm. In this research, the MATLAB implementation language was used to implement the spider algorithm, and then NS 2.35 tool was used to simulate the network environment and use the algorithm. In this study, three standard gate placement algorithms were used for comparisons, including BRP, RDP, and RGP. The results showed that the proposed method could have the lowest energy consumption. It can cause fair and uniform energy consumption between all nodes. It will also increase the lifetime of the network. Optimization of routing algorithms for such networks by using the spider algorithm also reduced the number of errors (failures) in the system and increased the life of the network with the help of the mentioned method. The proposed method, compared to the techniques presented before this study, is acceptable and, while creating the desired capabilities in terms of security, does not impose much time overhead on the system

References

Nosratzadeh, Razieh and Javad Hamidzadeh, 2015, Faster Convergence of Bee Colony Optimization Algorithm in Dynamic Deployment of Wireless Sensor Networks, The First National Conference on Distribution Computing and Big Data Processing, Tabriz, Azerbaijan Shahid Madani University

Alizadeh Barami, Abbas Ali and Mehdi Golsorkh Tabar, 2014, Energy Consumption Optimization Algorithm for Wireless Sensor Networks Using Artificial Bee Cloning Algorithm in Cloud Processing, the First National Electronic Conference on Technological Advances in Electrical Engineering, Electronics and computers, electronically, Khayyam Electric University

Ghaleh Golabi, Mohammad and Amin Rezaei Panah, 2017, Reducing Energy Consumption in Wireless Sensor Networks Using FCM Clustering, The First International Conference on New Achievements in Science and Technology, Tehran, Koosha International Company

Rabbani Abolfazli, Maryam and Saeed Toosizadeh, 2017, Improving the spider community algorithm in solving finite optimization problems, Fourth National Conference on Information Technology, Computer and Telecommunication, Mashhad, Torbat Heydariyeh University

Khan Babaei, Mehdi; Mohammad Ali Jibril Jamali and Sohrab Khan Mohammadi, 2012, Presenting a Multi-Routing Routing Method in Mobile Networks Using Fuzzy Decision Bee Cloning Algorithm, 2nd National Conference on Software Engineering, Lahijan, Islamic Azad University, Lahijan Branch

P. S. Manna, S. Singh, Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks, Engineering Applications of Artificial Intelligence, (2017), 57:2, 142–152.

Hossein Savarzadeh, Morteza, 2015, Routing protocol based on bee colony for mobile well in wireless sensor networks, 2nd National Conference on Computer Engineering and Information Technology, Payame Noor University, Najafabad, Payame Noor University, Najafabad Center

Rabbani Abolfazli, Maryam and Saeed Toosizadeh, 2016, Improving Spider Community Optimization Algorithm with Stray Method to Solve Multiple Problems, Fourth National Conference on Application of New Technologies in Engineering Sciences, Torbat Heydariyeh, Torbat Heydariyeh University

y.q. Zhou,R. Zhao,Q. Luo,ch. WenSensor Deployment Scheme Based on Social Spider Optimization Algorithm for Wireless Sensor Networks, Springer Science+Business Media, LLC (2017), 9:15, 98-116.

T. Gui , ch.Ma , F. Wang ,A novel cluster-based routing protocol wireless sensor networks using Spider Monkey Optimization, IEEE, (2016).

James J.Q. Yu Victor O.K. Li, A social spider algorithm for global optimization, Applied Soft Computing, (2015), 3:5, 43-81.

P. S. Manna, S. Singh, Energy efficient clustering protocol based on improved metaheuristic in wireless sensor networks, Journal of Network and Computer Applications, (2016), 17:5, 51-64.

Published

2023-11-01

How to Cite

Derakhshanfard, A. H. (2023). Proposing a Algorithm for Optimizing Energy Consumption. International Journal of Modern Achievement in Science, Engineering and Technology, 1(1), 82–93. https://doi.org/10.63053/ijset.7

Issue

Section

Articles