Routing Protocol for Wireless Sensor Networks Based on Archimedes Optimization Algorithm

被引:15
作者
Yao, Yindi [1 ,2 ]
Xie, Dangyuan [1 ]
Li, Ying [1 ]
Wang, Chen [1 ]
Li, Yangli [1 ]
机构
[1] Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China
[2] Shaanxi Key Lab Informat Commun Network & Secur, Xian 710121, Shaanxi, Peoples R China
关键词
Wireless sensor networks; Clustering algorithms; Sensors; Energy consumption; Optimization; Routing protocols; Routing; Archimedes optimization algorithm; network lifetime; network energy consumption; route optimization; wireless sensor networks;
D O I
10.1109/JSEN.2022.3186063
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
One of the key design problems of wireless sensor networks is to reduce energy consumption and improve node survival. Because the battery in sensor nodes is difficult to replace and the energy is limited, the design of energy-saving routing protocol becomes very important. Aiming at the problems of limiting node energy and shortening network lifetime in wireless sensor networks, a WSNs routing protocol based on improved archimedes optimization algorithm (IAOAR) is proposed in this paper. Firstly, in the cluster establishment phase, the protocol defines different fitness functions according to the energy, number and distance of sensor nodes to select the appropriate initial cluster. Then the fitness value of the node is calculated, and the weight is dynamically updated according to the number of iterations to improve the optimization ability of AOA algorithm. Virtual force is introduced to adjust the selected cluster head position to ensure the selection of optimal cluster heads, reduce the transmission energy consumption of common sensor nodes. In the data transmission stage, combined with the improved ant colony algorithm, the shortest transmission path to the sink node is constructed to reduce the energy consumption of long-distance data transmission at the cluster head. The simulation results showed that compared with LEACH, E-LEACH, LEACH-ANT and MAXLEACH protocols, the network life cycle of the protocol proposed in this paper was improved by 140.55%, 107.09%, 99.24% and 96.76% respectively. It effectively reduced the speed of node death, balances the network energy consumption and prolonged the network lifetime.
引用
收藏
页码:15561 / 15573
页数:13
相关论文
共 38 条
[11]   Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems [J].
Hashim, Fatma A. ;
Hussain, Kashif ;
Houssein, Essam H. ;
Mabrouk, Mai S. ;
Al-Atabany, Walid .
APPLIED INTELLIGENCE, 2021, 51 (03) :1531-1551
[12]   Zone Probabilistic Routing for Wireless Sensor Networks [J].
Hawbani, Ammar ;
Wang, Xingfu ;
Abudukelimu, Adili ;
Kuhlani, Hassan ;
Al-sharabi, Yaser ;
Qarariyah, Ammar ;
Ghannami, Aiman .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2019, 18 (03) :728-741
[13]   Energy-Saving Algorithm and Simulation of Wireless Sensor Networks Based of Clustering Routing Protocol [J].
He, Wei .
IEEE ACCESS, 2019, 7 :172505-172514
[14]   An application-specific protocol architecture for wireless microsensor networks [J].
Heinzelman, WB ;
Chandrakasan, AP ;
Balakrishnan, H .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2002, 1 (04) :660-670
[15]   Hybrid and Multi-Hop Advanced Zonal-Stable Election Protocol for Wireless Sensor Networks [J].
Khan, Fakhri Alam ;
Khan, Majid ;
Asif, Muhammad ;
Khalid, Afsheen ;
Ul Haq, Inam .
IEEE ACCESS, 2019, 7 :25334-25346
[16]   Machine learning algorithms for wireless sensor networks: A survey [J].
Kumar, D. Praveen ;
Amgoth, Tarachand ;
Annavarapu, Chandra Sekhara Rao .
INFORMATION FUSION, 2019, 49 :1-25
[17]   Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks [J].
Li, Xinlu ;
Keegan, Brian ;
Mtenzi, Fredrick ;
Weise, Thomas ;
Tan, Ming .
IEEE ACCESS, 2019, 7 :113182-113196
[18]  
Li Y., 2017, ACOUSTIC ELECT ENG, V32, P37
[19]   Routing Protocols Based on Ant Colony Optimization in Wireless Sensor Networks: A Survey [J].
Liu, Xuxun .
IEEE ACCESS, 2017, 5 :26303-26317
[20]  
Minglan Yuan, 2020, 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), P922, DOI 10.1109/ICPICS50287.2020.9201981