• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.998-1013
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• 2013

Wireless wearable sensor networks have emerged as a promising technique for human motion tracking due to the flexibility and scalability. In such system several wireless sensor nodes being attached to human limb construct a wearable sensor network, where each sensor node including MEMS sensors (such as 3-axis accelerometer, 3-axis magnetometer and 3-axis gyroscope) monitors the limb orientation and transmits these information to the base station for reconstruction via low-power wireless communication technique. Due to the energy constraint, the high fidelity requirement for real time rendering of human motion and tiny operating system embedded in each sensor node adds more challenges for the system implementation. In this paper, we discuss such challenges and experiences in detail during the implementation of such system with wireless wearable sensor network which includes COTS wireless sensor nodes (Imote 2) and uses TinyOS 1.x in each sensor node. Since our system uses the COTS sensor nodes and popular tiny operating system, it might be helpful for further exploration in such field.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.180-181
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• 2008

Recently, USN applications are in the early stage of commercialization. But, there are still several problems to develop USN applications. It is mainly due to the current development scheme that solution vendors makes all of them including HW, SW, sensor modules. The development of USN applications could be revitalized if three entities such as PC platform developers, PC device vendors, and application developers would do their best as in PC development. In this paper, we suggest an sensor node platform architecture supporting sensor independency to overcome the difficulty of developing USN applications. Traditional platforms like Tiny-OS and Nano-Q+ do not support such sensor independency. At first, we present a unified API for sensor independency, and also suggest an architecture to support sensor independancy. Our architecture results in the revitalization of developing USN applications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.9
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• pp.687-699
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• 2013

IP-based IP-USN overcomes that disadvantages of verify the existence and geographic limits of the sensor by applying a standard technique called 6LoWPAN. However, in terms of the management and cost, The USN node should work for a long period of time without periodic batter replacement. but this solution is insufficient.In this paper, we configure the node using TI's CC2530 that low-power Soc solution and Contiki OS for optimal low-power operation IP-USN and implement the gateway to support connecting IP networks and Sensor networks. In addition, a system implemented to measure and analyze the energy consumption of an independent power supply to look for ways.

• Journal of Advanced Navigation Technology
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• v.14 no.2
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• pp.227-232
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• 2010

According to the development of ubiquitous and computer techniques, the application fields of sensor network have been enlarged. We present the design and implementation of sensor node which is the most important component of sensor network techniques in this paper. The proposed sensor node is implemented with 8-bit microprocessor, and temperature and humidity sensing device to gather temperature and humidity data in real world. It achieves low production cost and user convenience, and also has the feature os existing commercial sensor node. Though our experiments, we show that deviation of temperature and humidity are $5^{\circ}C$ and 23.2% respectively, and the proposed sensor node is reliable in real applications.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.219-220
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• 2009

Many surveillance cameras used in security system are controlled with RS-485 communication protocol. In this situation, if RS-485 connection can be replaced with wireless connection using sensor network technology, an installation will become ease because of no wired connection and also a deployment of cameras will become free. This paper explains about the design of wireless sensor node and the necessary implementation for an operation, which can be replacing RS-485 connection for the development of CCTV control system based on wireless sensor network. The hardware platform of sensor node was designed based on MicaZ and the software was developed based on TinyOS. To control surveillance cameras deployed on wide area, the supporting of multi-hop also was implemented. With the result of experiment deploying on real environment, it was revealed that the controller could control cameras quickly with wireless.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.40-46
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• 2011

Wireless Sensor Networks(WSNs) have shown a lot of good outcomes in providing a various functions depending on industrial expectations by deploying ad-hoc networking with helps of light loaded and battery powered sensor nodes. In particular, it is strongly requested to develop an algorithm of cross-layer control between 2-layer and 3-layer to deriver the sensing data from the end node to the sink node on time. In this paper, based on the above observation we have proposed an IEEE802.15.4 based self priority routing scheme under UC Berkely TinyOS platform. The proposed beacon based priority routing (BPR) algorithm scheme utilizes beacon periods in sending message with embedding the high priority data and thus provides high quality of service(QoS) in the given criteria. The performance measures are the packet Throughput, delivery, latency, total energy consumption. Simulation results under TinyOS Simulator(TOSSIM) have shown the proposed scheme outcome the conventional Ad hoc On-Demand Distance Vector(AODV) Routing.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.4
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• pp.73-82
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• 2008

Collecting and managing the sensor information through the Internet is critical to effectively manage and utilize the sensor information. The interworking technique of the sensor network and internet is required to realize the desirable condition for managing and utilizing the sensor information. Among many interworking techniques, the translation technique using the gateway had been widely studied. However, the technique which mounts IP-based Internet protocols directly on the sensor node is getting more attention recently. Particularly, IPv6 is suitable for the communication protocol for the sensor network, because its features, such as abundant address space or address auto-configuration, are well matched with the sensor network. In this paper, we design the tiny UDP/IPv6 protocol functions which are suitable for the sensor network environment, and we implemented the functions with TinyOS based nesC. After we examined the simulation results of by using TOSSIM and TinyViz, we carried out the experimental performance evaluation for the program by mounting the tiny UDP/IPv6 on the sensor node (Mote).

• Journal of Digital Convergence
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• v.12 no.2
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• pp.271-276
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• 2014

The life-time and performance of a wireless sensor network is closely related to energy-efficiency of sensor nodes. In this paper, to increase energy-efficiency, each sensor node operates in one of three operational modes which are normal, power-saving, and inactive. In normal mode sensor nodes sense and transmit data with normal period, whereas sensor nodes in power-saving mode have three-times longer period. In inactive mode, sensor nodes do not sense and transmit any data, which makes the energy consumption to be minimized. Plus, the proposed algorithm can avoid unnecessary energy consumption by preventing transmitting duplicate sensed data. We implemented and simulated the proposed algorithm using Tiny OS based ZigbeX platfom and NS-2, respectively. Performance evaluation results show that the proposed algorithm can prolong sensor networks' lifespan by efficiently reducing energy consumption and its standard deviation of all sensor nodes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.1022-1029
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• 2009

What Ubiquitous means "being or existing anywhere, anytime"in Latin, which is, in other words, the users are able to access the network no matter where they are, what kind of network or computer terminals they use. This paper focuses on the implementation of hardware system. The first part of the sytem is the sensor node which transmits the sensor data from node to ARM11 platform through the Zigbee network wirelessly. The other part of the system is the ARM11 platform which receives and displays the sensor data. ARM11 platform is sink node. The ARM11 platform is based on ARM11 architecture and ported with Linux OS. Qtopia is used as Window Manager in order to make applications. The highly efficient ARM11 processor, S3C6400 MPC is the main part of the ARM11 platform.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.85-97
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• 2011

Wireless sensor networks have emerged as one of the key enabling technologies for ubiquitous computing since wireless intelligent sensor nodes connected by short range communication media serve as a smart intermediary between physical objects and people in ubiquitous computing environment. We recognize the wireless sensor network as a massively distributed and deeply embedded system. Such systems require concurrent and asynchronous event handling as a distributed system and resource-consciousness as an embedded system. Since the operating environment and architecture of wireless sensor networks, with the seemingly conflicting requirements, poses unique design challenges and constraints to developers, we propose a very new operating system for sensor nodes based on finite state machine. In this paper, we clarify the design goals reflected from the characteristics of sensor networks, and then present the heart of the design and implementation of a compact and efficient state-driven operating system, SenOS. We describe how SenOS can operate in an extremely resource constrained sensor node while providing the required reactivity and dynamic reconfigurability with low update cost. We also compare our experimental results after executing some benchmark programs on SenOS with those on TinyOS.