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
[1]   Improved Unequal-Clustering and Routing Protocol [J].
Alharbi, Mohammad Ali ;
Kolberg, Mario .
IEEE SENSORS JOURNAL, 2021, 21 (20) :23711-23721
[2]  
Battar S., 2019, P IEEE INT C EL COMP, P1
[3]   Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application [J].
Behera, Trupti Mayee ;
Mohapatra, Sushanta Kumar ;
Samal, Umesh Chandra ;
Khan, Mohammad S. ;
Daneshmand, Mahmoud ;
Gandomi, Amir H. .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (03) :5132-5139
[4]  
Chakraborty B., 2017, J ADV RES DYN CONTRO, V9, P581
[5]  
Chen J., 2020, IEEE ACCESS, V8
[6]   Numerical Optimization of the Energy Consumption for Wireless Sensor Networks Based on an Improved Ant Colony Algorithm [J].
Chu, Kai-Chun ;
Horng, Der-Juinn ;
Chang, Kuo-Chi .
IEEE ACCESS, 2019, 7 :105562-105571
[7]   Survey on recent advances in IoT application layer protocols and machine learning scope for research directions [J].
Donta, Praveen Kumar ;
Srirama, Satish Narayana ;
Amgoth, Tarachand ;
Annavarapu, Chandra Sekhara Rao .
DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (05) :727-744
[8]   Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach [J].
Donta, Praveen Kumar ;
Amgoth, Tarachand ;
Annavarapu, Chandra Sekhara Rao .
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 33
[9]  
Donta PK, 2020, 2020 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS 2020), P430
[10]   ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks [J].
El Alami, Hassan ;
Najid, Abdellah .
IEEE ACCESS, 2019, 7 :107142-107153