Email this article 
Open Access
Subscription or Fee Access
The Comparison of Data Transmission in Wireless Sensor Network using Different Optimization Algorithm
Abstract
In order to adapted the emerging modern world, the use of various techniques in the Wireless Sensor Network (WSN) to make data transmission faster. Wireless sensor network is applicable for specific network especially data transmission and energy saving process. WSN employs a variety of optimization technique to sense and communicate the surrounding environment and also used to avoid time delay in during the data transmission. In this paper, three most important optimization algorithms are compared Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Gray Wolf Optimization (GWO). The goal of the paper is to compare different performances and finding cluster head selection for optimal path data transmission in wireless sensor network.
Keywords
References
Natasha Ramluckum and Vandana Basso “Energy-efficient chain-cluster based intelligent routing technique for wireless sensor network”, international journal of applied computing and informatics (IJACI), pp.1-12, Elsevier-2018.
Ajay Kaushik, S. Indu and Daya Gupta “A Grey wolf Optimization Approach for Improving the Performance of wireless sensor Network” Wireless Personal Communication http://doi.org/10.1007/s11277-019-06223-2, Springer-2019.
C. Vimalarani, R. Subaramanian and S.N sivanandam “An Enhanced PSO-Based clustering Energy Optimization Algorithm for wireless sensor Network” The scientific world journal, pp.1-11, 2016.
Sonal Sharma and Rajendra singh kushwah “ACO Based wireless Sensor Network Routing for Energy saving” International Conference on Inventive Communication and Computational Technologies (ICICCT), pp.150-154, IEEE-2017.
N.A.A1-Aboody and H.S A1.Raweshhidy“Grey Wolf optimization-Based Energy-Efficient Routing Protocol for Heterogeneous Wireless sensor networks” International Symposium on Computational and Business intelligence, pp.101-107, IEEE-2016.
Danwei Ruan and Jianhua Huang“A PSO-Based Uneven Dynamic Clustering Multi-Hop Routing Protocol for wireless sensor network”,pp.1-24,http://doi:10.3390/s19081835, Sensors-2019.
Piranjali Diwan and M.R.Khan“Energy Efficient Communication for WSN using Grey-Wolf Optimization Algorithm” International Journal of Engineering and Computer Science (IJEC), Vol.5 (12), pp.19793-19805, 2016.
Ryo Yamamoto, Seira Nishibu, Taku Yamazaki ,Yashushi Okamura and Yoshiaki Tanaka“ACO –Inspired Energy-Aware Routing Algorithm for wireless sensor networks”Journal of Telecommunication and information Technology, pp.5-13. http://doi.org/10.26636/jtit.2019.129718, 2019.
Amimta Yadav, Suresh Kumar and singh vijendra“Network Life Time Analysis of WSNs Using Particle Swarm optimization” International Conference on Computational Intelligence and Data Science, pp.805-815, Elsevier-2018.
Liang Xue “Data aggregation protocols for wireless sensor network based on ACO”International Conference on Intelligent Transportation, Bigdata & smart city, pp.254-257, IEEE-2015.
Shamineh Tabibi, Ali Ghaffari “Energy-Efficient Routing Mechanism for Mobile Sink in Wireless Senesor Networks Using Particle Swarm optimization Algorithm”, Springer-2018.
Hong zhang 1 ,Zhanming Li ,wnneng Shu and Jarong Chou“Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor network” EURASIP Journal on Wireless Communication and Networking,pp.1-10,Springer-2019.
Jing Wang ,Yu Gao,Wei Liu,Arun kumar Sangiah and Hey-Jin Kim “An Improved Routing Schema with Special Clustring Using PSO Algorithm for Hetrogeneous wireless sensor network”, pp.1-17, http://doi:10.3390/s19030671,Sensors-2019.
Supret kaur, Rajiv Mahajan “Hybrid meta-heuristic optimization based energy efficient protocol for wireless sensor networks” Egyptian Informatics Journal, pp.145-150, ELSEVIER-2019.
R.Rajkumar,J. Amudhavel, P.Dhavachelvam and T.Vengatraman,” GWO-LPWSN:Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Network”,Journal of Computer Network and Communication ,pp.1-10,2017.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.