• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1568-1589
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• 2021

Deployment of access point (AP) is a problem that must be considered in network planning. However, this problem is usually a NP-hard problem which is difficult to directly reach optimal solution. Thus, improved AP deployment optimization scheme based on swarm intelligence algorithm is proposed to research on this problem. First, the scheme estimates the number of APs. Second, the multi-objective particle swarm optimization (MOPSO) algorithm is used to optimize the location and transmit power of APs. Finally, the greedy algorithm is used to remove the redundant APs. Comparing with multi-objective whale swarm optimization algorithm (MOWOA), particle swarm optimization (PSO) and grey wolf optimization (GWO), the proposed deployment scheme can reduce AP's transmit power and improves energy efficiency under different numbers of users. From the experimental results, the proposed deployment scheme can reduce transmit power about 2%-7% and increase energy efficiency about 2%-25%, comparing with MOWOA. In addition, the proposed deployment scheme can reduce transmit power at most 50% and increase energy efficiency at most 200%, comparing with PSO and GWO.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권4호
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• pp.1611-1629
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• 2016

Recently, deploying WiFi access points (APs) for facilitating indoor localization has attracted increasing attention. However, most existing mechanisms in this aspect are typically simulation based and further they did not consider how to jointly utilize pre-existing APs in target environment and newly deployed APs for achieving high localization performance. In this paper, we propose a measurement-based AP deployment mechanism (MAPD) for placing APs in target indoor environment for assisting fingerprint based indoor localization. In the mechanism design, MAPD takes full consideration of pre-existing APs to assist the selection of good candidate positions for deploying new APs. For this purpose, we first choose a number of candidate positions with low location accuracy on a radio map calibrated using the pre-existing APs and then use over-deployment and on-site measurement to determine the actual positions for AP deployment. MAPD uses minimal mean location error and progressive greedy search for actual AP position selection. Experimental results demonstrate that MAPD can largely reduce the localization error as compared with existing work.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.169-170
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• 2007

In this paper, we analyze the effect of access point (AP) deployment on the accuracy of indoor localization. Two representative geometrical arrangements of AP deployment are selected. One is that a Tag is centered at the regular triangle composed of 3 AP's, and the other is that a Tag is set apart from the straight line composed of 3 AP's. As a result of simulation, the first case has a probability of 93% with distance errors within 1m, while the second case has a 32% of probability.

• 한국정보통신학회논문지
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• 제17권4호
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• pp.847-856
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• 2013

본 논문에서는 실내 환경에서 위치 인식을 고려한 AP 배치 기법을 제안하고 성능평가를 수행하였다. 제안한 기법은 위치 인식율과 AP 기반 무선 네트워크의 성능 및 비용을 고려하여 근사 최적 AP 구성 형태를 생성하는 메타휴리스틱 알고리즘과 AP 배치 과정을 빠르게 수렴하게 하는 결정론적 알고리즘으로 구성된다. 실내 공간과 유사한 시뮬레이션 환경을 구축하여 제안한 AP 배치 기법의 성능 평가를 수행하였으며, 제안한 기법은 빠른 시간 내에 우수한 결과를 생성하였다.

• 한국멀티미디어학회논문지
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• 제19권12호
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• pp.2014-2023
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• 2016

Web presence is one of the key issues for extensive deployment of Internet-of-Things (IoT). An obstacle to overcome for Web presence is relatively low computing power of IoT devices. In this paper, we present implementation of an IoT platform based on Constrained Application Protocol (CoAP) which is a web transfer protocol proposed by Internet Engineering Task Force (IETF) for the low performance IoT devices such as Wireless Sensor Network (WSN) nodes and micro-controllers. To qualify the performance of CoAP-based IoT system for such an application as smart grid, we designed a test platform consisting of Raspberry Pi2, Kmote WSN node and a desktop PC. Using open source softwares, CoAP was implemented on top of the platform. Leveraging the GET command defined at CoAP specification, performance of the system was measured in terms of round-trip time (RTT) from web application to the Kmote sensor node. To investigate abnormal cases among the test results, hop-by-hop delays were measured to analyze resulting data. The average response time of CoAP-based communication except the abnormal data was reduced by 23% smaller than the previous research result.

• 인터넷정보학회논문지
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• 제17권3호
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• pp.11-18
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• 2016

와이파이 환경에서 비인가 AP(rogue AP)의 접속은 스니핑(sniffing), 피싱(phishing), 파밍(pharming) 공격 등 다양한 사이버 공격에 노출될 수 있는 매우 위험한 행위이다. 따라서 비인가 AP를 신속하고 정확하게 탐지하여 와이파이 사용자가 해당 AP에 대한 접속을 회피할 수 있도록 적절하게 경고하는 것은 와이파이 보안의 핵심 요구사항이 되고 있다. 본 논문은 인가된 AP에 대한 설치 정보와 스위치의 DHCP 스누핑 정보를 활용하여 비인가 AP를 정확하고 신속하게 탐지하여, 무선 단말에 실시간으로 통보하는 새로운 비인가 AP 탐지 기법을 제시한다. 제안된 비인가 AP 탐지 기법은 별도의 장비가 불필요하고 간단하여 많은 수의 탐지 센서와 탐지 서버로 구성되는 무선 침입 방지 시스템(wireless intrusion prevention system)에 비해 저가격에 구현가능하다. 그리고 타이밍 정보, 위치 정보, 화이트 리스트 기반 등의 기존 비인가 AP 탐지 기법에 비해 탐지의 정확성이 높고, 신속하며, 개방 환경을 포함하여 다양한 환경에 유연하게 적용가능한 장점이 있다.

• Journal of information and communication convergence engineering
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• 제18권3호
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• pp.183-187
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• 2020

The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

• 한국컴퓨터정보학회논문지
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• 제25권1호
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• pp.63-69
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• 2020

본 논문에서는 상대적인 액세스 포인트의 신호 강도에 기초한 랜드마크를 사용하는 실내 위치 추적 기법에 대하여 제안한다. AP 신호의 절댓값은 기존의 실내 위치 추적 기술에 사용되었지만, 측정 기기, 측정 환경, 그리고 측정 시기의 변동으로 인해 달라질 수 있다. 그러나 우리는 특정 장소에서는 AP의 수신 신호 세기의 흐름이 서의 일정한 패턴을 나타낸다는 사실을 알아냈다. 그 특징에 따라, 우리는 AP들 간의 상대적 강도를 파악하고, 그들이 특정 패턴을 보이는 특정 장소를 랜드마크로서 저장한다. 랜드마크 맵 배치가 완료되면, 시스템은 스마트폰의 IMU 센서를 사용하여 사용자의 위치를 계산하고 저장된 랜드마크로 보정한다. 우리의 시스템은 센서만 사용한 기술에 비하여 75.2%의 개선을, 그리고 절댓값으로 선택된 랜드마크를 사용한 기술에 비하여 39.6%의 개선을 보인다.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2007년도 학술대회
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• pp.64-68
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• 2007

Commercial WiBro and 3G HSDPA services are launched last year in order to provide high speed wireless Internet access and multimedia service. Currently mobile communication service providers concentrate on the deployment of indoor mobile network since indoor traffic is remarkably increased. For fine indoor wireless communication, an installation of access point system via Public IP network which is called Femtocell is required. The development of indoor Femtocell system must be considered in the viewpoint of low hardware complexity, cost reduction, interlocking with WiBro/HSDPA network without change of network component and easy element management. In this paper, we review the implementation issue and technology of dual mode AP which provides WiBro and HSDPA signal to the user simultaneously. Especially, we describe on the HSDPA Femtocell standardization status and possible 3 types of HSDPA communication module development design. Furthermore we analyze the merits and demerits of each HSDPA Femtocell design type and propose a system which enables handover between indoor HSDPA Femtocell and outdoor commercial HSDPA mobile network.

• 디지털산업정보학회논문지
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• 제16권4호
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• pp.1-7
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• 2020

Over the past few years, Wi-Fi signal based indoor positioning system (IPS) has been researched extensively because of its low expenses of infrastructure deployment. There are two major aspects of location-related information contained in Wi-Fi signals. One is channel state information (CSI), and one is received signal strength indicator (RSSI). Compared to the RSSI, the CSI has been widely utilized because it is able to reveal fine-grained information related to locations. However, the conventional IPS that employs a single access point (AP) does not exhibit decent performance especially in the environment of non-line-of-sight (NLOS) situations due to the reliability degeneration of signals caused by multipath fading effect. In order to address this problem, in this paper, we propose a novel method that utilizes multiple APs instead of a single AP to enhance the robustness of the IPS. In our proposed method, a hybrid neural network is applied to the CSIs collected from multiple APs. By relying more on the fingerprint constructed by the CSI collected from an AP that is less affected by the NLOS, we find that the performance of the IPS is significantly improved.