Abstract

Wireless Sensor Network (WSN) technology is one of the important technologies to implement the ubiquitous society, and it could increase productivity of agricultural and livestock products, and secure transparency of distribution channels if such a WSN technology were successfully applied to the agricultural sector. Middleware, which can connect WSN hardware, applications, and enterprise systems, is required to construct ubiquitous agriculture environment combining WSN technology with agricultural sector applications, but there have been insufficient studies in the field of WSN middleware in the agricultural environment, compared to other industries. This paper proposes a context-aware middleware to efficiently process data collected from ubiquitous greenhouses by applying WSN technology and used to implement combined services through organic connectivity of data. The proposed middleware abstracts heterogeneous sensor nodes to integrate different forms of data, and provides intelligent context-aware, event service, and filtering functions to maximize operability and scalability of the middleware. To evaluate the performance of the middleware, an integrated management system for ubiquitous greenhouses was implemented by applying the proposed middleware to an existing greenhouse, and it was tested by measuring the level of load through CPU usage and the response time for users’ requests when the system is working.

Highlights

  • Wireless Sensor Network (WSN) technology is one of the important technologies for implementing a ubiquitous society, and it is applied into various fields such as distribution, logistics, construction, transportation, agriculture, defense, medicine, etc. [1], and in particular, it can be applied to the agricultural environment, production management, distribution, etc. to increase the productivity of agricultural and livestock products and secure transparency of distribution channels in the agricultural sector [2,3]

  • The context aware u-Greenhouse middleware is designed aimed at a system to smoothly interconnect two layers between the wireless sensor network basically composed of heterogeneous sensors and the system to provide various services to users, and to process data to effectively provide intelligent service functions that could recognize contexts based on sensor data

  • This paper proposed and developed a context-aware middleware to efficiently process data collected from a u-Greenhouse applying WSN technologies and to implement combined services through organic connections of data

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Summary

Introduction

Wireless Sensor Network (WSN) technology is one of the important technologies for implementing a ubiquitous society, and it is applied into various fields such as distribution, logistics, construction, transportation, agriculture, defense, medicine, etc. [1], and in particular, it can be applied to the agricultural environment, production management, distribution, etc. to increase the productivity of agricultural and livestock products and secure transparency of distribution channels in the agricultural sector [2,3]. This paper would like to propose a context-aware middleware to efficiently process data collected from greenhouses by applying WSN technologies and to implement combined services through organic data connectivities. In order to provide various services to users by using wireless sensor networks composed of heterogeneous sensors, WSN middleware should be capable of converting collected sensor data into a common form, reducing server loads by using some data filtering function(s), and providing intelligent context-aware and event service functions. The proposed context-aware middleware could maximize scalability and usability of the system by abstracting heterogeneous sensor nodes installed for collecting greenhouse environmental information, enabling data filtering, event processing and context-aware processing, and integrating different forms of data through this.

Wireless Sensor Networks Middleware
In-Network Schemes
Server-Side Schemes
Hybrid Schemes
Comparison with Other Middlewares
System Architecture
System Components
Design of the Proposed Context-Aware Middleware
Requirements Analysis
Middleware Scenario
Middleware Design
Implementation Environment
Middleware Algorithms
Sensor Data Structure and Data Conversion
Implementation of Ontology for Context-Aware Service
Application of the Proposed Middleware
Performance Evaluation of the Proposed Middleware
Findings
Conclusions
Full Text
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