Energy-saving clustering routing algorithm based on semi-fixed cluster for wireless sensor networks

被引:0
|
作者
Zhang Z. [1 ]
Zhou J. [1 ]
机构
[1] School of Mathematics and Statistics, Xidian University, Xi'an
来源
基金
中国国家自然科学基金;
关键词
clustering; load balance of cluster; optimization of energy consumption; routing; wireless sensor network;
D O I
10.11959/j.issn.1000-436x.2024080
中图分类号
学科分类号
摘要
To solve the problems of short network lifetime, caused by unbalanced node energy consumption, and large energy consumption in data transmission of wireless sensor network, a semi-fixed clustering routing algorithm was proposed in order to achieve the load balance of each cluster. After the nodes were deployed, each cluster was adjusted to ensure that each cluster was well-matched in the number of nodes. In the beginning, the cluster heads were selected according to the distances between nodes and the residual energy of nodes. In data transmission phase, the optimization model of relay nodes was constructed according to the residual energy of nodes, the distances between nodes and the base station, and the distances between nodes. Then the goal of balancing and reducing energy consumption was achieved. Furthermore, when the network ran for a period of time, due to the large differences in residual energy between clusters, the clusters were optimized again to make the energy of each cluster as close as possible. Finally, when the energy of cluster heads was lower than the set threshold, the cluster heads were rotated and optimized again to extend the working life of nodes. The simulation results show that the proposed algorithm reduces the energy consumption of nodes and provides longer network lifetimes of WSN. © 2024 Editorial Board of Journal on Communications. All rights reserved.
引用
收藏
页码:160 / 170
页数:10
相关论文
共 33 条
  • [1] REN R T, SU J Q., A security-enhanced and privacy-preserving certificate-less aggregate signcryption scheme-based artificial neural network in wireless medical sensor network, IEEE Sensors Journal, 23, 7, pp. 7440-7450, (2023)
  • [2] HUAN X T, KIM K S, LEE S, Et al., Improving multi-hop time synchronization performance in wireless sensor networks based on packet-relaying gateways with per-hop delay compensation, IEEE Transactions on Communications, 69, 9, pp. 6093-6105, (2021)
  • [3] KAUR G, CHANAK P, BHATTACHARYA M., Obstacle-aware intelligent fault detection scheme for industrial wireless sensor networks, IEEE Transactions on Industrial Informatics, 18, 10, pp. 6876-6886, (2022)
  • [4] TARIQ U U, ALI H, HUSSAIN M, Et al., Shuffled ARSH-FATI: a novel meta-heuristic for lifetime maximization of range-adjustable wireless sensor networks, IEEE Transactions on Green Communications and Networking, 7, 3, pp. 1217-1233, (2023)
  • [5] DOU P P, ZENG Y Q, LU Y, Et al., Improved method for energy efficient clustering of the wireless sensor network, Journal of Xidian University, 49, 3, pp. 68-73, (2022)
  • [6] KUMAR M, MUKHERJEE P, VERMA K, Et al., Improved deep convolutional neural network based malicious node detection and energy-efficient data transmission in wireless sensor networks, IEEE Transactions on Network Science and Engineering, 9, 5, pp. 3272-3281, (2022)
  • [7] ZHU B T, BEDEER E, NGUYEN H H, Et al., Improved soft-k-means clustering algorithm for balancing energy consumption in wireless sensor networks, IEEE Internet of Things Journal, 8, 6, pp. 4868-4881, (2021)
  • [8] DARABKH, KHALID A, SAJA M, Et al., Energy-aware and density-based clustering and relaying protocol (EA-DB-CRP) for gathering data in wireless sensor networks, Applied Soft Computing, 80, pp. 154-166, (2019)
  • [9] CHITHALURU P, AL-TURJMAN F, KUMAR M, Et al., MTCEE-LLN: multilayer threshold cluster-based energy-efficient low-power and lossy networks for industrial Internet of Things, IEEE Internet of Things Journal, 9, 7, pp. 4940-4948, (2022)
  • [10] LIPARE A, EDLA D R, KUPPILI V., Energy efficient load balancing approach for avoiding energy hole problem in WSN using grey wolf optimizer with novel fitness function, Applied Soft Computing, 84, (2019)