An Improved Equal Hierarchical Cluster-Based Routing Protocol for EH-WSNs to Enhance Balanced Utilization of Harvested Energy

被引:6
作者
Ri, Man Gun [1 ]
Han, Ye Song [1 ]
Pak, Jin [1 ]
Hwang, Sung Gwon [1 ]
Pong, Chol Min [2 ]
机构
[1] Kim Chaek Univ Technol, Commun Fac, Pyongyang, North Korea
[2] Pyongyang Univ Sci & Technol, Elect & Comp Engn Fac, Pyongyang, North Korea
关键词
Wireless sensor networks; Routing; Sensors; Routing protocols; Energy harvesting; Data communication; Energy consumption; Energy harvesting wireless sensor networks; cluster head; routing tree construction; dynamic data transmission; balanced energy utilization; mobile sink; WIRELESS SENSOR NETWORKS; MULTIOBJECTIVE OPTIMIZATION; ALGORITHMS; SOLAR;
D O I
10.1109/ACCESS.2022.3183792
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Enhancing harvested energy utilization and balancing harvested energy consumption are the main challenges in designing routing protocols for energy harvesting wireless sensor networks (EH-WSNs). This paper considers the efficient hierarchical cluster-based routing method for enhancing harvested energy utilization while ensuring harvested energy consumption balancing, reliability and connectivity of EH-WSNs. For these aims, a new hierarchical cluster-based routing protocol for EH-WSNs is proposed. This protocol contains two phases: cluster-route establishment and data transmission. Cluster-route establishment phase including CH selection, next-hop CH selection and joining CMs to a proper CH, is performed using multi-criteria such as residual energy, distance to the BS, node adjacency degree, link statistics and energy harvesting rate of nodes. Moreover, modified sensing radius adjustment scheme is introduced to further improve energy consumption balance of each node from sensing time. In data transmission phase, an adaptive transmission power adjustment scheme is proposed to use more effectively harvested energy considering current residual energy and predicted energy harvested from ambient environment. This phase further improves energy consumption balance by using a mobile sink. Extensive simulations are conducted to demonstrate that the proposed protocol achieves better network performance than the other existing protocols for EH-WSNs.
引用
收藏
页码:67081 / 67095
页数:15
相关论文
共 37 条
  • [1] [Anonymous], NATL SOLAR RAD DATA
  • [2] [Anonymous], DJI MAVIC 2 SPECS
  • [3] [Anonymous], 2007, 3 IEEE INT C WIRELES
  • [4] A Cooperative Clustering Protocol With Duty Cycling for Energy Harvesting Enabled Wireless Sensor Networks
    Bahbahani, Mohammed S.
    Alsusa, Emad
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (01) : 101 - 111
  • [5] A new clustering protocol for energy harvesting-wireless sensor networks
    Bozorgi, Seyed Mostafa
    Rostami, Ali Shokouhi
    Hosseinabadi, Ali Asghar Rahmani
    Balas, Valentina Emilia
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2017, 64 : 233 - 247
  • [6] Cammarano A, 2012, IEEE INT CONF MOB, P75, DOI 10.1109/MASS.2012.6502504
  • [7] Cardei M, 2005, WIMOB 2005: IEEE INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS, VOL 3, PROCEEDINGS, P438
  • [8] SRA: A Sensing Radius Adaptation Mechanism for Maximizing Network Lifetime in WSNs
    Chang, Chao-Tsun
    Chang, Chih-Yung
    Zhao, Shenghui
    Chen, Jian-Cheng
    Wang, Tzu-Lin
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (12) : 9817 - 9833
  • [9] Machine-Learning-Based Parallel Genetic Algorithms for Multi-Objective Optimization in Ultra-Reliable Low-Latency WSNs
    Chang, Yuchao
    Yuan, Xiaobing
    Li, Baoqing
    Niyato, Dusit
    Al-Dhahir, Naofal
    [J]. IEEE ACCESS, 2019, 7 : 4913 - 4926
  • [10] A Joint Unsupervised Learning and Genetic Algorithm Approach for Topology Control in Energy-Efficient Ultra-Dense Wireless Sensor Networks
    Chang, Yuchao
    Yuan, Xiaobing
    Li, Baoqing
    Niyato, Dusk
    Al-Dhahir, Naofal
    [J]. IEEE COMMUNICATIONS LETTERS, 2018, 22 (11) : 2370 - 2373