A mobile sink-integrated framework for the collection of farmland wireless sensor network information based on a virtual potential field
文献类型: 外文期刊
第一作者: Yang, Ying
作者: Yang, Ying;Yang, Wude;Yang, Ying;Wu, Huarui;Miao, Yisheng;Wu, Huarui;Miao, Yisheng
作者机构:
关键词: Farmland wireless sensor networks; mobile sink; path planning; network lifetime; energy efficiency; wireless sensor network transmission strategy
期刊名称:INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS ( 影响因子:1.64; 五年影响因子:1.476 )
ISSN: 1550-1477
年卷期: 2021 年 17 卷 7 期
页码:
收录情况: SCI
摘要: To overcome the limitations of traditional data collection methods in large-scale farmland wireless sensor network, in this study, we introduce a mobile sink and propose a virtual potential field-based strategy for mobile sink path planning. Virtual potential field-based strategy constructs a virtual field based on the residual energy, data generation rate, location information and cache urgency of nodes in the monitoring area. The stronger the virtual field, the more attractive it will be to mobile sink, which consequently affects the mobile path of sink node. Rendezvous points are selected in accordance with the maximum-farthest criterion, and the shortest path connecting all rendezvous points is taken as the mobile path of sink. Furthermore, the monitoring nodes employ the distance probability transmission strategy to have the transmission moment selected and the energy consumption optimized with reference to the path control information sent by the sink. The virtual potential fields and the rendezvous points are recalculated periodically according to the dynamic changes of both the node residual energy and the real-time cache. The simulation results showed that excellent transmission efficiency and network lifetime, and the combination of virtual potential field-based strategy and distance probability transmission strategy can have the fairness and real time of nodes guaranteed, thus it may meet the needs of large-scale farmland data collection.
分类号:
- 相关文献
作者其他论文 更多>>
-
Overview of Pest Detection and Recognition Algorithms
作者:Guo, Boyu;Wang, Jianji;Guo, Minghui;Chen, Miao;Chen, Yanan;Guo, Boyu;Wang, Jianji;Guo, Minghui;Chen, Miao;Chen, Yanan;Guo, Minghui;Miao, Yisheng
关键词:smart agriculture; pest detection; pest recognition
-
Research on Positioning and Navigation System of Greenhouse Mobile Robot Based on Multi-Sensor Fusion
作者:Cheng, Bo;Li, Xiaoyue;Zhang, Ning;Song, Weitang;He, Xueying;Wu, Huarui
关键词:agricultural greenhouse; navigation robot; multi-sensor fusion; ultra-wideband; inertial measurement unit; odometry; rangefinder
-
Starch ordered structures control starch reassembly behaviors during heat-moisture treatment for modulating its digestibility
作者:Chi, Chengdeng;Ren, Wenwen;Yang, Ying;Guo, Xu;Chen, Bilian;He, Yongjin;Chen, Huibin;Zhang, Yiping;Zheng, Xianghua;Wang, Hongwei
关键词:Crystal seeds; Crystalline structure; Heat-moisture treatment; Recrystallization; Starch reassembly
-
Oligogalacturonides reduced postharvest losses by alleviating mechanical damage in Goji berry (Lycium barbarum Miller)
作者:Pei, Xiaojie;Sun, Shuxin;Dai, Xin;Liu, Ke;Yang, Ying;Lu, Laifeng;Wang, Yansheng;Lu, Laifeng;Wang, Yansheng
关键词:Oligogalacturonides; Goji berry; Antioxidant; Softening; Postharvest losses; Mechanical damage
-
Dendrobium officinale leaf polysaccharide has a dual effect of alleviating the syndromes of immunosuppressed mice and modulating immune system of normal mice
作者:Li, Jingrui;Tao, Wenyang;Zhou, Wanyi;Xing, Jianrong;Luo, Mengfan;Lu, Shengmin;Yang, Ying
关键词:Dendrobium officinale leaf; Polysaccharide; Immune system; Gut microbiota; Cyclophosphamide
-
Effects of Dityrosine on Lactic Acid Metabolism in Mice Gastrocnemius Muscle During Endurance Exercise via the Oxidative Stress-Induced Mitochondria Damage
作者:Xia, Qiudong;Lan, Jinchi;Pan, Yuxiang;Wang, Yuxin;Song, Tianyuan;Gu, Zhenyu;Ding, Yin-Yi;Yang, Ying;Tian, Xu;Chen, Longjun
关键词:dityrosine; lactate acid metabolism; enduranceexercise; oxidative stress; mitochondria damage
-
Cabbage Transplantation State Recognition Model Based on Modified YOLOv5-GFD
作者:Sun, Xiang;Miao, Yisheng;Wang, Yuansheng;Li, Qingxue;Zhu, Huaji;Wu, Huarui;Sun, Xiang;Miao, Yisheng;Wu, Xiaoyan;Wang, Yuansheng;Li, Qingxue;Zhu, Huaji;Wu, Huarui;Sun, Xiang;Miao, Yisheng;Wang, Yuansheng;Li, Qingxue;Zhu, Huaji;Wu, Huarui;Wu, Xiaoyan
关键词:the state of cabbage transplantation; target detection; deep separable convolution; YOLOv5s