• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.229-231
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• 2003

기존에 제시된 ad hoc 라우팅 프로토콜에는 안정성에 대한 부분이 고려되어 있지 않다. 본 논문에서는 기존의 DSR ad hoc 라우팅 프로토콜에 안정성을 접목한 SDSR 라우팅 프로토콜을 제시한다. SDSR은 DSR에 안정성 제공을 위해 abnormal node detector와 neighbor table이라는 것을 추가한다. abnormal node detector는 네트워크 내에 abnormal 노드를 탐지해 네트워크에서 고립시켜 네트워크에 안정성을 제공하고 neighbor table에 있는 priority를 값에 따라 이웃 노드에서 들어온 패킷을 처리함으로써 효율적인 처리 능력을 제공한다. 본 논문에서는 abnormal node detector와 neighbor table을 통해 어떤 방식으로 네트워크에 안정성을 제공하는지 살펴보도록 하겠다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.9
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• pp.2173-2184
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• 1997

Among spatial queries handled in spatial database systems, nearest neighbor queries to find the nearest spatial object from the given locaion occur frequently. The number of searched nodes in an index must be minimized in order to increase the performance of nearest neighbor queries. An Existing approach considered only the processing of an nearest neighbor query in a two-dimensional search space and could not optimize the number of searched nodes accurately. In this paper, we propose the optimal search distance and prove its properties. The proposed optimal search distance is the measurement of a new search distance for accurately selecting the nodes which will be searched in processing nearest neighbor queries. We present an algorithm for processing the nearest neighbor query by applying the optimal search distance to R-trees and prove that the result of query processing is correcter than the existing approach.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.17-22
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• 2008

최근접 객체 질의(Nearest Neighbor Query)는 질의가 요청된 지점으로부터 가장 가까운 객체를 찾는 질 의로 위치기반 서비스 분야에서 가장 널리 사용되고 있는 질의의 형태이다. 이를 기반으로 한 지역 최근접 객체 질의 (Range Nearest Neighbor), 연속 최근접 객체 질의(Continuos Nearest Neighbor)등의 확장 된 개념으로 다양한 최근접 객체 질의가 제안되어 왔다. 그러나 지금까지의 최근접 객체 질의를 기반으로 한 연구들은 점으로 표현된 질의를 기준으로 하여 최근접 객체를 찾는 기준점 최근접 객체(Point Nearest Neighbor) 질의를 기반으로 하고 있어, 점으로 표현이 불가능한 1 차원 형태의 질의에 대하여 효과적인 최근접 객체를 검색하는 연구는 연구된 바 없다. 본 논문에서는 한 개 이상의 1 차원 형태의 선분으로 이루어진 질의에 대하여 질의 주변의 객체 중 최근접 객체를 찾는 다중선 최근접 객체 질의 (Polyline Nearest Neighbor)를 정의하고 효과적인 질의 처리 알고리즘을 제안하였다. 제안된 기법의 성능 분석을 위한 실험은 객체와 질의가 다양한 형태로 분포되어 있는 환경아래 진행되었으며, 실험 결과는 기대 값과 근접한 결과 값을 얻었다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.12
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• pp.33-40
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• 2004

IPv6 defines relation between surrounding node using Neighbor Discovery protocol. Used Neighbor Discovery messages, grasp surrounding node, include important informations about network. These network information outcrops can give rise in network attack and also service that use network will paralysis. Various kinds of security limitation was found in Present Neighbor Discovery protocol therefore security function to supplement this problem was required. In this thesis, Secure Neighbor Discovery protocol that add with suity function was design and embody by CGA module and SEND module.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.406-420
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• 2020

In order to make up the deficiencies of the existing research results which cannot effectively deal with the nearest neighbor query based on the line segments in obstacle space, the k nearest neighbor query method of line segment in obstacle space is proposed and the STA_OLkNN algorithm under the circumstance of static obstacle data set is put forward. The query process is divided into two stages, including the filtering process and refining process. In the filtration process, according to the properties of the line segment Voronoi diagram, the corresponding pruning rules are proposed and the filtering algorithm is presented. In the refining process, according to the relationship of the position between the line segments, the corresponding distance expression method is put forward and the final result is obtained by comparing the distance. Theoretical research and experimental results show that the proposed algorithm can effectively deal with the problem of k nearest neighbor query of the line segment in the obstacle environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1B
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• pp.9-14
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• 2012

The neighbor discovery using directional antennas in mmWave band is a prerequisite for communications and this issue is crucial and urgent. In this paper, the synchronized, direct, two-way directional neighbor discovery process is analyzed mathematically for mmWave WPANs. The analysis is based on the values which are derived from the effect of using directional antennas. The neighbor discovery probability for a given amount of time is considered and several performance measures such as the optimal sojourn time are derived in closed forms. Numerical results are obtained using parameters based on the IEEE 802.15.3c. The mathematical analysis provides the theoretical basis for the directional neighbor discovery process.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.83-90
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• 2010

The number of searched nodes and the computation time in an index should be minimized for optimizing the processing cost of the nearest neighbor query. The Measurement of search distance considered a circular location property of objects is required to accurately select the nodes which will be searched in the nearest neighbor query. In this paper, we propose the processing method of the nearest neighbor query be considered a circular location property of object where the search space consists of a circular domain and show its performance by experiments. The proposed method uses the circular minimum distance and the circular optimal distance which are the search measurements for optimizing the processing cost of the nearest neighbor query.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.4
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• pp.208-215
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• 2013

Early iterations of the existing Global Positioning System (GPS)-based or radio lateration technique-based vehicle localization algorithms suffer from flip ambiguities, forged relative location information and location information exchange overhead, which affect the subsequent iterations. This, in turn, results in an erroneous neighbor-vehicle map. This paper proposes an extended information overlap measure (EIOM) algorithm to reduce the flip error rates by exchanging the neighbor-vehicle presence features in binary information. This algorithm shifts and associates three pieces of information in the Moore neighborhood format: 1) feature information of the neighboring vehicles from a vision-based environment sensor system; 2) cardinal locations of the neighboring vehicles in its Moore neighborhood; and 3) identification information (MAC/IP addresses). Simulations were conducted for multi-lane highway scenarios to compare the proposed algorithm with the existing algorithm. The results showed that the flip error rates were reduced by up to 50%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2533-2540
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• 2013

In multihop cellular network environments, the mobility of nodes is a major obstacle to find a reliable routing path between a mobile node (MN) and the access node (AN). Therefore, in this paper, we propose a fast and reliable neighbor discovery protocol that enables the fast and reliable neighbor discovery by considering the node mobility in the multihop cellular network. The proposed neighbor discovery protocol inhibits the transmission of unnecessary control messages to quickly find a suitable neighbor node (NN) and performs a priority-based access control to transmit control messages without collision in the order of NN desirable to be selected. Simulation results show that the proposed neighbor discovery protocol can discover the NNs faster than the conventional scheme and select a more reliable relay node although the number of neighbor nodes increases and the node mobility increases.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.27-35
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• 2021

Local search has been used to solve various combinatorial optimization problems. One of the most important factors in local search is the method of generating a neighbor solution. In this paper, we propose neighbor generation strategies of local search for permutation-based combinatorial optimization, and compare the performance of each strategies targeting the traveling salesman problem. In this paper, we propose a total of 10 neighbor generation strategies. Basically, we propose 4 new strategies such as Rotation in addition to the 4 strategies such as Swap which have been widely used in the past. In addition, there are Combined1 and Combined2, which are made by combining basic neighbor generation strategies. The experiment was performed by applying the basic local search, but changing only the neighbor generation strategy. As a result of the experiment, it was confirmed that the performance difference is large according to the neighbor generation strategy, and also confirmed that the performance of Combined2 is the best. In addition, it was confirmed that Combined2 shows better performance than the existing local search methods.