An Efficient Opportunistic Routing Protocol with Low Latency for Farm Wireless Sensor Networks
文献类型: 外文期刊
作者: Wu, Huarui 1 ; Han, Xiao 1 ; Zhu, Huaji 1 ; Chen, Cheng 1 ; Yang, Baozhu 1 ;
作者机构: 1.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
3.Minist Agr & Rural Affairs Peoples Republ China, Agr Key Lab Digital Village, Beijing 100097, Peoples R China
关键词: farm wireless sensor networks; opportunity routing; link interaction; algebraic connectivity; priority queue; backoff strategy
期刊名称:ELECTRONICS ( 影响因子:2.69; 五年影响因子:2.657 )
ISSN:
年卷期: 2022 年 11 卷 13 期
页码:
收录情况: SCI
摘要: Wireless sensor networks (WSN) can accurately and timely obtain the production information of crops, and provide data basis for intelligent agriculture. The dynamic crop state and unstable climate environment make it difficult to predict the connectivity probability of wireless links. Therefore, this paper studies an energy-saving opportunity routing transmission strategy under the influence of dynamic link interaction. The protocol establishes an importance model based on algebraic connectivity to reduce the energy consumption of network key nodes. At the same time, based on the improved Bellman-Ford algorithm, a method of constructing candidate sets is studied. It converts the opportunistic routing transmission cost of farm WSN into anycast link cost and the remaining opportunistic path cost affected by energy consumption. The priority queue is used to determine the nodes participating in the iteration, thereby reducing the computational overhead. The protocol also designs a backoff strategy considering the current residual energy to select the only forwarding node and reduce the unnecessary packet copies in the transmission process. Simulation results show that the studied method is superior to the existing opportunistic routing schemes in terms of packet overhead, network lifetime, energy consumption, and packet delivery rate.
- 相关文献
作者其他论文 更多>>
-
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
-
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
-
A Study of Kale Recognition Based on Semantic Segmentation
作者:Wu, Huarui;Guo, Wang;Liu, Chang;Sun, Xiang;Wu, Huarui;Guo, Wang;Liu, Chang;Sun, Xiang;Wu, Huarui;Guo, Wang;Liu, Chang;Sun, Xiang
关键词:kale; semantic segmentation; Swin transformer; UperNet
-
Greenhouse light and CO2 regulation considering cost and photosynthesis rate using i-nsGA II
作者:Gao, Pan;Lu, Miao;Yang, Yongxia;Hu, Jin;Gao, Pan;Lu, Miao;Hu, Jin;Wu, Huarui;Mao, Hanping
关键词:Multi-objective optimization; Photosynthesis rate; Curvature theory; Environmental regulation; Regulation cost
-
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation
作者:Li, Jingchen;Wu, Huarui;Zhao, Chunjiang;Shi, Haobin;Hwang, Kao-Shing
关键词:Online reinforcement learning; overfitting; reinforcement learning
-
Recognition Method of Cabbage Heads at Harvest Stage under Complex Background Based on Improved YOLOv8n
作者:Tian, Yongqiang;Zhang, Taihong;Zhao, Yunjie;Zhao, Chunjiang;Wu, Huarui;Zhang, Taihong;Zhao, Yunjie;Zhang, Taihong;Zhao, Yunjie;Wu, Huarui
关键词:cabbage; recognition and localization; object detection; deep learning; automatic harvesting
-
DFYOLOv5m-M2transformer: Interpretation of vegetable disease recognition results using image dense captioning techniques
作者:Sun, Wei;Wang, Chunshan;Wu, Huarui;Miao, Yisheng;Zhu, Huaji;Guo, Wang;Sun, Wei;Wang, Chunshan;Li, Jiuxi;Wu, Huarui;Miao, Yisheng;Zhu, Huaji;Guo, Wang;Wu, Huarui;Miao, Yisheng;Zhu, Huaji;Guo, Wang;Sun, Wei;Wang, Chunshan;Li, Jiuxi
关键词:Image captioning; Disease recognition; YOLOv5m; M2-Transformer; Two-stage; NWD



