Smart Agriculture Wireless Sensor Routing Protocol and Node Location Algorithm Based on Internet of Things Technology

With the increase of the world's population, people's demand for food is also increasing. However, due to various reasons, traditional agriculture cannot make full use of the land. Therefore, to ensure the food supply of the global population and promote the development of agriculture, the implementation of smart agriculture has become essential. The purpose of this research work is to study the smart agricultural wireless sensor routing protocols and node positioning algorithms based on the Internet of Things (IoT) technology. The present study first analyzes the classification of wireless sensor routing protocols. Based on the analysis and research of the Low Energy Adaptive Clustering Hierarchy protocol, the influence of factors such as node energy and distance are considered, and the network's Low Energy Adaptive Clustering Hierarchy routing protocol is improved and extended its life. It introduced the classification of positioning algorithm, and then analyzed the DV-HOP positioning algorithm. Aiming at the problem of low positioning accuracy and large error of DV-HOP algorithm, an improved method of DV-HOP algorithm based on average HOP distance was proposed to make positioning more precise. Experimental results prove that the improved algorithm proposed in this paper has better performance. By testing the algorithm proposed in this paper, the improved DV-HOP algorithm reduces the positioning error by 30% compared with the original DV-HOP algorithm.

Automated summary

With the increasing world population and demand for food, smart agriculture has become essential for ensuring global food supply and promoting agricultural development. This research focuses on studying smart agricultural wireless sensor routing protocols and node positioning algorithms based on the Internet of Things technology to improve agricultural productivity and sustainability in food supply. The study analyzes wireless sensor routing protocols, improves the Low Energy Adaptive Clustering Hierarchy protocol, and proposes an enhanced DV-HOP algorithm for more accurate positioning. Experimental results show a 30% reduction in positioning error compared to the original algorithm.