On the design of beacon based wireless sensor network for agricultural emergency monitoring systems

Authors:
Young-Duk Kim;Yeon-Mo Yang;Won-Seok Kang;Dong-Kyun Kim
Affiliations:
Daegu Gyeongbuk Institute of Science and Technology (DGIST), Republic of Korea;School of Electronic Engineering, Kumoh National Institute of Technology, Republic of Korea;Daegu Gyeongbuk Institute of Science and Technology (DGIST), Republic of Korea;School of Computer Science and Engineering, Kyungpook National University, Republic of Korea
Venue:
Computer Standards & Interfaces
Year:
2014

Citing 7
Cited 0

Wireless sensor networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
The nesC language: A holistic approach to networked embedded systems

PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Ad-hoc On-Demand Distance Vector Routing

WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
TOSSIM: accurate and scalable simulation of entire TinyOS applications

Proceedings of the 1st international conference on Embedded networked sensor systems
Software design patterns for TinyOS

LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Deployment and Implementation of an Agricultural Sensor Network

SENSORCOMM '08 Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications
Agricultural Monitoring Based on Wireless Sensor Network Technology: Real Long Life Deployments for Physiology and Pathogens Control

SENSORCOMM '09 Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we proposed new sensor network architecture with autonomous robots based on beacon mode for real time agriculture monitoring system. The proposed scheme also offers a reliable association with parent nodes and dynamically assigns network addresses. For the large scale multi-sensor processing, the proposed system accomplished the intelligent database, which generates alert messages to the handheld terminal by means of the fire and air-based sensor data. Thus farmers can easily check out the current conditions of crops and farms at anytime and anywhere. Moreover, we also developed a robot platform with network based mobility function for mobile surveillance.