• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.126-134
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• 2011

Recently, many researchers are interested in using join queries to correlate sensor readings stored in different regions. In the conventional algorithm, the preliminary join coordinator collects the synopsis from sensor nodes and determines a set of sensor readings that are required for processing the join query. Then, the base station collects only a part of sensor readings instead of whole readings and performs the final join process. However, it has a problem that incurs communication overhead for processing the preliminary join. In this paper, we propose a novel energy-efficient in-network join scheme that solves such a problem. The proposed scheme determines a preliminary join coordinator located to minimize the communication cost for the preliminary join. The coordinator prunes data that do not contribute to the join result and performs the compression of sensor readings in the early stage of the join processing. Therefore, the base station just collects a part of compressed sensor readings with the decompression table and determines the join result from them. In the result, the proposed scheme reduces communication costs for the preliminary join processing and prolongs the network lifetime.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.27-36
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• 2010

The paper proposes RFB(Record Filtering using Bit-vector) join algorithm, an in-network strategy that uses bit-vector to drastically reduce the size of data and hence the communication cost. In addition, by eliminating data not involved in join result prior to actual join, communication cost can be minimized since not all data need to be moved to the join nodes. The simulation result shows that the proposed RFB algorithm significantly reduces the number of bytes to be moved to join nodes compared to the popular synopsis join(SNJ) algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.791-792
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• 2009

본 논문에서는 센서네트워크 환경에서 에너지 효율적인 인-네트워크 조인 질의 처리기법을 제안한다. 제안된 기법은 데이터의 요약된 정보 시놉시스를 사용한다. 각 영역의 전체 시놉시스의 크기를 고려 하여 예비 조인 조정자를 선정하는 방법과 최종 데이터를 싱크 노드로 전송하는 비용을 줄인다. 제안하는 기법의 우수성을 보이기 위해 기존 기법과의 성능 비교를 수행한다.

• Journal of KIISE:Databases
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• v.37 no.3
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• pp.165-170
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• 2010

This paper proposes an in-network join strategy SBJ(Semi & Bloom Join), an efficient join strategy for sensor networks, that minimizes communication cost. SBJ is a hybrid join strategy that can reduce energy consumption by using a bloom filter to reduce the size of data that needs to be sent or received in sensor network. The key to reducing the communication cost in SBJ is to eliminate data not involved in the join result in the early stages of join processing. Through simulation, the paper shows that compared to other join strategies in sensor network, SBJ join strategy is more efficient in reducing the communication cost resulting in a significant reduction in battery consumption.

• Journal of KIISE:Databases
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• v.36 no.4
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• pp.292-305
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• 2009

Wireless sensor networks have a lot of application areas such as industrial process control, machine and resource management, environment and habitat monitoring. One of the main objects of using wireless sensor networks in these areas is the event detection. To detect events at a user's request, we need a join processing between sensor data and the predicates of the events. If there are too many predicates of events compared with a node's capacity, it is impossible to store them in a node and to do an in-network join with the generated sensor data This paper proposes a predicate-merge based in-network join approach to efficiently detect multiple events, considering the limited capacity of a sensor node and many predicates of events. It reduces the number of the original predicates of events by substituting some pairs of original predicates with some merged predicates. We create an estimation model of a message transmission cost and apply it to the selection algorithm of targets for merged predicates. The experiments validate the cost estimation model and show the superior performance of the proposed approach compared with the existing approaches.

• Journal of Internet Computing and Services
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• v.7 no.5
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• pp.71-79
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• 2006

The GNUnet proposed a file encoding method by lKB block size to support anonymity of files and decentralizes encoded block to peers through unstructured model. but, the encoding and block decentralizing method with 600$\sim$700MB large multimedia file appeared two problems. First problem. it need addition R block and I block, which make about 4% of storage resource. Second problem, unstructured model added network load by broadcasting decentralizing method. This paper suggest variable encoding block size and structured model by block decentralizing solution. Suggested encoding method reduced block request supplementary block generation to 1% and network load by proposal structured model sending answer through dedicated peer to decentralize block.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.75-81
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• 2005

The GNUnet in P2P system have solved an anonymous(publisher, storer, demander); a service of condition equal for peer. The GNUnet for an anonymous has separated a file and dispersed to the network. But, the 1Kbyte block size of the GNUnet is a creation of many additional block. I and R block has created with indirect point of D block The waste of I and R block appeared to 4% of the original file and the additional network traffic for the block transmission. To resolve the problems, this paper proposes an new scheme of file splitting distribution using P2P networks with the new GNUnet protocol, The GNUnet support minimization of the additional block and for a network traffic. It proposed an efficiency improvement of encording block and routing algorithm.

• Electronics and Telecommunications Trends
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• v.21 no.6 s.102
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• pp.157-167
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• 2006

본 고에서는 실태조사를 통해 국내 홈네트워크 산업의 시장 및 수출 현황을 분석하였으며, 아울러 홈네트워크 장비산업의 경쟁력을 평가하였다. 2005년도에 국내 홈네트워크 산업의 시장규모는 전년도인 2004년도의 7,104억 원에 비해 53.3% 증가한 1조891억원에 달한 것으로 나타났다. 이중에서 홈네트워크 장비시장이 87%인 9,4701억원에 달했으며, 홈네트워크 서비스시장은 13%인 1,421억 원으로 나타났다. 수급 현황 분석결과 국내 홈네트워크산업은 아직 기대에 비해 본격적인 성장단계에 접어들지 못한 것으로 보인다. 한편 국내 통신장비산업의 경쟁력 또한 4개 장비분야 모두가 경쟁력이100점 만점 기준에 60점대에 머무는 것으로 평가되어 선진기업에 비해 낮은 것으로 나타났다. 특히 브랜드경쟁력과 유통경쟁력이 공통적으로 현저하게 낮은 것으로 나타나 기술개발뿐만 아니라 마케팅 역량 향상을 위한 업계 자체의 노력 및 정부 차원의 지원이 시급한 것으로 나타났다.

• The Journal of Engineering Research
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• v.7 no.1
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• pp.89-97
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• 2005

The GNUnet proposed a file encoding method by 1KB block size to support anonimity of file and decentralizes encoded block to peers through unstructed model. but, the encoding and block decentralizing method with 600~700MB large multimedia file appered two problems. First problem, it need addition R block and I block, which make about 4% of storage resource. Second problem, unstructed model added network load by broadcasting decentralizing method. The paper suggest variable encoding block size and structured model by block decentralizing solution. Suggested encoding method reduced block request supplementary block generation from 4% to 1%. and network load by proposal structured model sending answer through dedicated peer to decentralize block.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.81-90
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• 2006

The GNUnet proposed a file encoding method by 1KB block size to support anonimity of files, decentralizes encoded block to peers through unstructed mode and original data decoding method a block searching or encoded blocks. but, the encoding and block decentralizing method with $600\sim700MB$ large multimedia file appered two problems. First problem, it need addition R block and I block, which make about 4% of storage resource. Second problem, unstructured model added network load by broadcasting decentralizing method. Third problem, The critical point of keyword search function. This paper suggest variable encoding block size and structured model by block decentralizing solution. Suggested encoding method reduced block request supplementary block generation from 4% to 1%, network load by proposal structured model sending answer through dedicated peer to decentralize block and we defined content-based keyword and identifier of sharing file.