Meonghun Lee

Agricultural Production System Based on IoT

There has been much research and various attempts to apply new IoT technology to agricultural areas. However, IoT for the agriculture should be considered differently against the same areas such as industrial, logistics. This paper presents the IoT-based agricultural production system for stabilizing supply and demand of agricultural products while developing the environment sensors and prediction system for the growth and production amount of crops by gathering its environmental information. Currently, the demand by consumption of agricultural products could be predicted quantitatively, however, the variation of harvest and production by the change of farms cultivated area, weather change, disease and insect damage etc. could not be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome it, this paper designed the IoT-based monitoring system to analyze crop environment, and the method to improve the efficiency of decision making by analyzing harvest statistics. Therefore, this paper developed the decision support system to forecast agricultural production using IoT sensors. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to consumers. 3 Corresponding author The IoT-based agricultural production system through correlation analysis between the crop statistical information and agricultural environment information has enhanced the ability of farmers, researchers, and government officials to analyze current conditions and predict future harvest. Additionally, agricultural products quality can be improved because farmers observe whole cycle from seeding to selling using this IoT-based decision support system.

Design and Implementation of Wireless Sensor Network for Ubiquitous Glass Houses

Recently, there are many researches to enable future ubiquitous environments based on wireless sensor network (WSN). Various sensing devices deployed in wireless sensor network collect meaningful data from physical environments and the data are delivered to neighbor node through radio interfaces for further processing. The representative application in WSN is a data collecting system, which monitors physical phenomena and gathers data around our life. In this system, sensor nodes can be considered as a kind of database and hosts connected to the Internet, in most cases, initiate some queries destined to WSN and collect query responses from WSN. In this study, the efficient use of limited energy efficiently for the WSN based large scale glass houses was researched. We designed an integration method which was based on WSN Gateway which integrated two different networks efficiently. To realize the proposed design, we implemented an efficient routing method and WSN Gateway in the wired and wireless integrated networks in ubiquitous glass houses.

Comparative Analysis and Design of Wired and Wireless Integrated Networks for Wireless Sensor Networks

Plenty of new routing protocols have been presented to overcome the difficulty in applying the routing protocol which was proposed for the existing wireless networks (IEEE 802.11) to WSN. Therefore, this paper presents the wired and wireless integrated networks which transmit the information collected from the wireless sensor networks to wired networks via WSN Gateway. At this time, this paper embodies the Zigbee protocol in the wireless networks based on the 802.15.4 standard and designs an advanced routing protocol for wired and wireless integrated networks by modifying the existing ad hoc routing protocol to enable access to wired networks such as the internet. Moreover, we design an integration method which is based on WSN Gateway which integrates two different networks efficiently. To evaluate the proposed research, we simulated an advanced routing method and WSN Gateway in the wired and wireless integrated networks using the NS-2 simulator.

Design of Ubiquitous Glass Green Houses

Green House is one of the representative models of modern agriculture business. As IT fields develop rapidly we study the methodology of applying IT to agriculture. This paper proposes a Ubiquitous glass Green Houses Management System (U-GHMS) based on USN (Ubiquitous Sensor Network) which can be real-time monitoring and controlling of Green houses facilities by collecting environment and soil information with environment and soil sensors, and CCTV camera. The system can remotely monitor and control green house by considering environment information. The system includes the Sensor Manager and the CCTV Manager to gather and manage green house information with the soil and the environment sensors, and camera. Also the system has the Green House Database storing green house information and the Green House Server transmitting greenhouse information to the GUI and controlling green house. Finally, the GUI showing green house condition to users exists in our system. To verify the executability of the U-GHMS, after developing a green house model, we confirm that our system can monitor and control the green house condition at remote GUI by applying the U-GHMSs components to the model.

Analysis of Environmental Stress Factors Using an Artificial Growth System and Plant Fitness Optimization

The environment promotes evolution. Evolutionary processes represent environmental adaptations over long time scales; evolution of crop genomes is not inducible within the relatively short time span of a human generation. Extreme environmental conditions can accelerate evolution, but such conditions are often stress inducing and disruptive. Artificial growth systems can be used to induce and select genomic variation by changing external environmental conditions, thus, accelerating evolution. By using cloud computing and big-data analysis, we analyzed environmental stress factors for Pleurotus ostreatus by assessing, evaluating, and predicting information of the growth environment. Through the indexing of environmental stress, the growth environment can be precisely controlled and developed into a technology for improving crop quality and production.

Effect of Sensor Specific Crop Location on Wireless Sensor Network Performance

Because a sensor node is operated at a low power, a good communication can hardly be done when an obstacle exists in inter-node’s communication point. In this study, a simulation environment was made using a shadowing model for the position of sensor node and the communication impact by crop in observing the crop’s growth and a greenhouse environment. In such developed simulation environment, the simulation was conducted through changing ad-hoc routing protocols for the sensor node. We could validate that there was a difference in the performance of sensor node according to the installed position through the simulation result. Also, we could confirm that there were different characteristics respectively depending on the routing protocol. We consider that such result will be useful to provide strategies for designing the effective routing protocol for an agricultural environment such as the greenhouse in the future.

Design of efficient routing method for USN based Large-scale Glass Greenhouses

Wireless communication technology and state-of-the-art miniaturization have enabled the wireless sensor network with smart environmental sensors. The sensor network is a new field which has been vigorously researched in the ubiquitous computing and ad hoc network. How efficiently use the limited energy in this USN (ubiquitous sensor network) has been debated. Utilizing the directed diffusion and gossiping algorithm which is based on the large-scale glass greenhouses, we present a method to prolong the lifespan of the sensor network by transmitting the relevant control packet on an aperiodic basis. In the paper, we present a method to minimize the energy consumption of sensor nodes within glass greenhouses and ensure stable network operation at the same time through energy efficient routing between sensor nodes.

Intelligent environment management system for controlled horticulture

IoT / Cloud / Big data / Mobile (ICBM) is a new technology paradigm that merges IoT, cloud, big data, and mobile technologies. In this study, we designed and implemented a smart farm environment management system that can collect and monitor information on crop growth utilizing ICBM technology. The wireless system proposed in this paper not only collects environmental data from the inside of a vast controlled horticulture and controls the controlled horticulture facilities but also enhances energy efficiency through effective management of IoT sensor network topology. The system enhances convenience by remotely monitoring and controlling smart farm environmental information while establishing a database that enables big data analysis in the cloud to optimize the environment for crop growing. In this paper, we designed and implemented the dual stack gateway architecture for efficient topology management that sensor node supports COAP protocol.

A power control scheme for an energy-efficient MAC protocol

Sensor networks applications in the growth monitoring fields of a farming have been attempted in a variety of methods. The most significant characteristic of the growth monitoring is that its detecting period for data is very long, its installation location is not almost changed after once installing, and it should be operating for a long time. Therefore, MAC protocol to satisfy these characteristics is required. Proposed MAC protocol makes the node list for the range of enabling to transmit, measures the minimum transmitting power to be able to transceive for each node during synchronizing process, and uses the minimum transmitting power measured when transceiving data. The energy consumption ratio and the network survival rate for SMAC (Sensor MAC) and PSMAC (transmission Power control in SMAC) are compared through the mathematical analysis and the simulation.

Wireless Sensor Networks Based on Bio-Inspired Algorithms

The goal of bio-inspired is to resolve human problems by studying and mimicking the characteristics of organisms or design elements which can be found in nature. Wireless sensor networks are used in a variety of fields but have limited network lifespans, so various research is being performed on the subject. In particular, research is being performed on observing and modeling the behavioral principles of various organisms to use in bio-inspired algorithms for efficient routing techniques in large-scale networks. In this research, we studied the pheromones used in ant communication and designed the techniques for energy efficiency improvement and traffic distribution by applying them to the proposed network. We designed biomimicry technology called the Wireless Sensor Networks Based on Bio-inspired Algorithms, and by analyzing and applying the similarities between communication systems and biological systems, our system was able to show improved performance in terms of extended network lifespan, optimized path selection, etc. In simulation results, the proposed routing algorithm has a short information collection time and low energy consumption, and through this it is able to maximize network energy efficiency.