• Title, Summary, Keyword: Sensor storage

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Efficient Data Storage & Query Processing Methods in Military Ubiquitous Sensor Networks (군 USN 환경에서 효율적인 데이터 저장 및 질의 처리 방법 연구)

  • Kwon, Young-Mo;Choi, Hyun-Sik;Chung, Yon-Dohn
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.5
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    • pp.875-885
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    • 2010
  • Recently, the role of Ubiquitous Sensor Network(USN) has been considered to be essential for supporting the near future Network Centric Warfare(NCW) and Tactical Information Communication Network(TICN). In this paper, we explore a set of data storage methods(external storage, local storage and data storage) and query processing methods in WSN. In particular, we focus on analyzing a novel data structure for supporting the local storage method, named the partial ordered tree(POT). The main idea behind POT is that sensor readings are usually correlated with the physical spatial domain. With the help of POT, only a small portion of sensor nodes participate in query processing tasks, and thus network lifetime is greatly increased. Through a series of simulation experiments, we demonstrate that the POT based local storage method clearly outperforms the existing data storage methods in terms of the energy-efficiency, which directly affects the network lifetime, for processing exact match queries, range queries and top-k queries.

Implementation of a Residual Quantity Monitoring System in a Liquefied Gas Storage Tank based on Wireless Sensor Network Technology (무선센서 네트워크 기술 기반 액화가스 저장탱크 내 잔량 모니터링 시스템 구현)

  • Kim, Min-Kyu;Han, Hae-Jin;Han, Jaehwan
    • Journal of Sensor Science and Technology
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    • v.27 no.5
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    • pp.352-356
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    • 2018
  • This paper relates to a technology for monitoring a liquefied gas storage tank in the special gas field where demand is increasing owing to the continuous growth of related fields such as the semiconductor, display, and ICT convergence electronics industries. We have proposed a system for real - time monitoring using wireless sensor network technology, and implemented a system consisting of a sensor unit, transmitter module, and receiver module to be attached to a liquefied gas storage tank. The system was applied to LCO2 tanks among various liquefied gas storage tanks to verify the feasibility. The storage tanks employed in the experiments has capacities of 16,179 l and was 1,920 mm in inner diameter. Furthermore, the density was 1.03 g/l. The measured data were compared with reference data on the remaining gas level versus the $CO_2$ height of the surface, expressed using a conventional water meter, provided by an existing storage tank supplier. The experimental results show that the data is similar to the standard data provided by the tank supplier, and has a high accuracy and reliability within an error range of 0.03%.

A Prediction-based Energy-conserving Approximate Storage and Query Processing Schema in Object-Tracking Sensor Networks

  • Xie, Yi;Xiao, Weidong;Tang, Daquan;Tang, Jiuyang;Tang, Guoming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.5
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    • pp.909-937
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    • 2011
  • Energy efficiency is one of the most critical issues in the design of wireless sensor networks. In object-tracking sensor networks, the data storage and query processing should be energy-conserving by decreasing the message complexity. In this paper, a Prediction-based Energy-conserving Approximate StoragE schema (P-EASE) is proposed, which can reduce the query error of EASE by changing its approximate area and adopting predicting model without increasing the cost. In addition, focusing on reducing the unnecessary querying messages, P-EASE enables an optimal query algorithm to taking into consideration to query the proper storage node, i.e., the nearer storage node of the centric storage node and local storage node. The theoretical analysis illuminates the correctness and efficiency of the P-EASE. Simulation experiments are conducted under semi-random walk and random waypoint mobility. Compared to EASE, P-EASE performs better at the query error, message complexity, total energy consumption and hotspot energy consumption. Results have shown that P-EASE is more energy-conserving and has higher location precision than EASE.

A Data Centric Storage based on Adaptive Local Trajectory for Sensor Networks (센서네트워크를 위한 적응적 지역 트라젝토리 기반의 데이터 저장소 기법)

  • Lim, Hwa-Jung;Lee, Joa-Hyoung;Yang, Dong-Il;Tscha, Yeong-Hwan;Lee, Heon-Guil
    • The KIPS Transactions:PartC
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    • v.15C no.1
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    • pp.19-30
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    • 2008
  • Sensor nodes are used as a storage space in the data centric storage method for sensor networks. Sensor nodes save the data to the node which is computed by hash table and users also access to the node to get the data by using hash table. One of the problems which the data centric storage method has is that queries from many users who are interested in the popular data could be concentrated to one node. In this case, responses for queries could be delayed and the energy of heavy loaded node could be dissipated fast. This would lead to reduction of network life time. In this paper, ALT, Data Centric Storage based on Adaptive Local Trajectory, is proposed as scalable data centric storage method for sensor network. ALT constructs trajectory around the storage node. The scope of trajectory is increased or decreased based on the query frequency. ALT distributes the query processing loads to several nodes so that delay of response is reduced and energy dissipation is also distributed.

Efficient Verifiable Top-k Queries in Two-tiered Wireless Sensor Networks

  • Dai, Hua;Yang, Geng;Huang, Haiping;Xiao, Fu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.6
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    • pp.2111-2131
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    • 2015
  • Tiered wireless sensor network is a network model of flexibility and robustness, which consists of the traditional resource-limited sensor nodes and the resource-abundant storage nodes. In such architecture, collected data from the sensor nodes are periodically submitted to the nearby storage nodes for archive purpose. When a query is requested, storage nodes also process the query and return qualified data as the result to the base station. The role of the storage nodes leads to an attack prone situation and leaves them more vulnerable in a hostile environment. If any of them is compromised, fake data may be injected into and/or qualified data may be discarded. And the base station would receive incorrect answers incurring malfunction to applications. In this paper, an efficient verifiable top-k query processing scheme called EVTQ is proposed, which is capable of verifying the authentication and completeness of the results. Collected data items with the embedded information of ordering and adjacent relationship through a hashed message authentication coding function, which serves as a validation code, are submitted from the sensor nodes to the storage nodes. Any injected or incomplete data in the returned result from a corresponded storage node is detected by the validation code at the base station. For saving communication cost, two optimized solutions that fuse and compress validation codes are presented. Experiments on communication cost show the proposed method is more efficiency than previous works.

Development of Volume Monitoring System Filled in Storage Space (저장공간에 채워진 부피 모니터링 시스템 개발)

  • Lee, Young Tae;Kwon, Ik Hyun
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.4
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    • pp.129-133
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    • 2019
  • In this paper, we developed a system to monitor the storage capacity of suction-type device such as vacuum cleaner or crop harvesters. The monitoring system consists of load cells and a differential pressure sensor which simultaneously monitor the weight and volume of the stock. Since weighing objects stored in storage containers alone cannot fully monitor the level of filling, more accurate monitoring can be achieved by monitoring volume and fusion with weight information. The volume was monitored using a phenomenon in which the flow rate of the inhaled air varies depending on the volume of the object filled in the storage container. In this paper, we developed a system to monitor the storage in three stages: low, medium and high.

Cold Storage monitoring of Pharmaceutical Products using Near Field Communication, ZigBee and Sensor Cloud (무선 센서 네트워크를 사용하여 물 수준 모니터링)

  • Abel, Avitesh Chandra;Kim, Beom Mu;Jeon, Seong Min;Rajeev, Kumar Piyare;Shiu, Kumar;;;Lee, Sang Il;Oh, Il Hwan;Lee, Sung Ro
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.435-437
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    • 2013
  • This paper proposes a system composed of wireless sensor network and cloud to monitor storage environment of pharmaceutical products. Integration of sensor networks to cloud is an emerging architecture offering the benefits of internet for monitoring to be done easily and remotely from anywhere and anytime and at the same time freeing the sensor network from processing, analysis, computational and storage of sensor data.

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Implementation of Bio-Signals Transmission and Storage System Using ZigBee Sensor Network (ZigBee 센서 네트워크를 이용한 생체신호 전송 및 저장 시스템의 구현)

  • Kim, Young-Joon;Lee, In-Sung
    • Proceedings of the IEEK Conference
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    • pp.131-132
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    • 2007
  • In this paper, we designed and implemented bio-signals transmission and storage system using wireless sensor network based on ZigBee. Wireless sensor network is organized with routing protocol based on tree structure. The data is transmitted to monitoring system based on SIP. ZigBee will be used as various combinations with other wireless network technologies for application purposes.

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Network Coding for Energy-Efficient Distributed Storage System in Wireless Sensor Networks

  • Wang, Lei;Yang, Yuwang;Zhao, Wei;Lu, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.9
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    • pp.2134-2153
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    • 2013
  • A network-coding-based scheme is proposed to improve the energy efficiency of distributed storage systems in WSNs (Wireless Sensor Networks). We mainly focus on two problems: firstly, consideration is given to effective distributed storage technology; secondly, we address how to effectively repair the data in failed storage nodes. For the first problem, we propose a method to obtain a sparse generator matrix to construct network codes, and this sparse generator matrix is proven to be the sparsest. Benefiting from this matrix, the energy consumption required to implement distributed storage is reduced. For the second problem, we designed a network-coding-based iterative repair method, which adequately utilizes the idea of re-encoding at intermediate nodes from network coding theory. Benefiting from the re-encoding, the energy consumption required by data repair is significantly reduced. Moreover, we provide an explicit lower bound of field size required by this scheme, which implies that it can work over a small field and the required computation overhead is very low. The simulation result verifies that the proposed scheme not only reduces the total energy consumption required to implement distributed storage system in WSNs, but also balances energy consumption of the networks.

Analysis of Impact Acoustic Property of Apple Using Piezo-Polymer Film Sensor (고분자 압전 박막 센서를 이용한 사과의 충격 음파 특성 분석)

  • Kim, Man-Soo;Lee, Sang-Dae;Park, Jeong-Hak;Kim, Ki-Bok
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.2
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    • pp.144-150
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    • 2008
  • In this study, the PVDF (polyvinylidene fluoride) piero-film sensor was applied to measure the internal quality of apple. The developed sensor detected the response signal through apple after mechanical impact on the surface of apple. The acoustical parameters at time domain such as rise time (RT), ring down count (RC), energy (EN), event duration (ED) and peak amplitude (PA) and acoustical parameter at frequency domain such as spectral density (SE) were analyzed. The size of waveform decreased as storage time of apple increased. The frequency at maximum magnitude was shifted to lower frequency band according to the storage time. The acoustical parameters showed strong relationship with storage time. The multiple linear regression equation was developed to estimate storage time of apple using the acoustical parameters at time domain and its coefficient of determination was 0.97. The internal quality of apple according to storage time is predictable using developed PVDF sensor and acoustical parameters defined in this study.