• Title/Summary/Keyword: Sink Location

Search Result 87, Processing Time 0.03 seconds

A Mobile-Sink based Energy-efficient Clustering Scheme in Mobile Wireless Sensor Networks (모바일 센서 네트워크에서 모바일 싱크 기반 에너지 효율적인 클러스터링 기법)

  • Kim, Jin-Su
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.18 no.5
    • /
    • pp.1-9
    • /
    • 2017
  • Recently, the active research into wireless sensor networks has led to the development of sensor nodes with improved performance, including their mobility and location awareness. One of the most important goals of such sensor networks is to transmit the data generated by mobile sensors nodes. Since these sensor nodes move in the mobile wireless sensor networks (MWSNs), the energy consumption required for them to transmit the sensed data to the fixed sink is increased. In order to solve this problem, the use of mobile sinks to collect the data while moving inside the network is studied herein. The important issues are the mobility and energy consumption in MWSNs. Because of the sensor nodes' limited energy, their energy consumption for data transmission affects the lifetime of the network. In this paper, a mobile-sink based energy-efficient clustering scheme is proposed for use in mobile wireless sensor networks (MECMs). The proposed scheme improves the energy efficiency when selecting a new cluster head according to the mobility of the mobile sensor nodes. In order to take into consideration the mobility problem, this method divides the entire network into several cluster groups based on mobile sinks, thereby decreasing the overall energy consumption. Through both analysis and simulation, it was shown that the proposed MECM is better than previous clustering methods in mobile sensor networks from the viewpoint of the network energy efficiency.

Congestion Management in Deregulated Power System by Optimal Choice and Allocation of FACTS Controllers Using Multi-Objective Genetic Algorithm

  • Reddy, S. Surender;Kumari, M. Sailaja;Sydulu, M.
    • Journal of Electrical Engineering and Technology
    • /
    • v.4 no.4
    • /
    • pp.467-475
    • /
    • 2009
  • Congestion management is one of the technical challenges in power system deregulation. This paper presents single objective and multi-objective optimization approaches for optimal choice, location and size of Static Var Compensators (SVC) and Thyristor Controlled Series Capacitors (TCSC) in deregulated power system to improve branch loading (minimize congestion), improve voltage stability and reduce line losses. Though FACTS controllers offer many advantages, their installation cost is very high. Hence Independent System Operator (ISO) has to locate them optimally to satisfy a desired objective. This paper presents optimal location of FACTS controllers considering branch loading (BL), voltage stability (VS) and loss minimization (LM) as objectives at once using GA. It is observed that the locations that are most favorable with respect to one objective are not suitable locations with respect to other two objectives. Later these competing objectives are optimized simultaneously considering two and three objectives at a time using multi-objective Strength Pareto Evolutionary Algorithms (SPEA). The developed algorithms are tested on IEEE 30 bus system. Various cases like i) uniform line loading ii) line outage iii) bilateral and multilateral transactions between source and sink nodes have been considered to create congestion in the system. The developed algorithms show effective locations for all the cases considered for both single and multiobjective optimization studies.

Exploration of underground utilities using method predicting an anomaly(II) - field application (전기비저항을 이용한 지하매설물 탐사(II) - 현장실험 중심으로)

  • Ryu, Hee Hwan;Cho, Seon Ah;Kim, Kyoung Yul;Cho, Gye Chun
    • Journal of Korean Tunnelling and Underground Space Association
    • /
    • v.19 no.3
    • /
    • pp.449-461
    • /
    • 2017
  • The uncertain existence and insufficient information of underground structures, such as pipe lines and cable tunnels, is causing many problems related to route plan, design, construction of new underground structures. The theoretical equations that is able to predict the location, size, and direction of underground structures through electric field analysis are suggested at the previous study (Ryu., 2015). Three field tests were performed for predicting the location, size, and direction of underground structures and the existence and size of sink-hole. Prediction results were reflected at the design and follow-up measures were performed.

A Sensor Network Security Protocol for Monitoring the State of Bridge (교량감시를 위한 센서 네트워크 보안프로토콜)

  • Lim, Hwa-Jung;Jeon, Jin-Soon;Lee, Heon-Guil
    • Journal of Industrial Technology
    • /
    • v.25 no.B
    • /
    • pp.211-220
    • /
    • 2005
  • The wireless sensor network consists of a number of sensor nodes which have physical constraints. Each sensor node senses surrounding environments and sends the sensed information to Sink. The inherent vulnerability in security of the sensor nodes has promoted the needs for the lightweight security protocol. In this paper, we propose a non-hierarchical sensor network and a security protocol that is suitable for monitoring the man-made objects such as bridges. Furthermore, we present the efficient way of setting the routing path by storing IDs, MAC(message authentication code) and the location information of the nodes, and taking advantage of the two node states, Sleep and Awake. This also will result in the reduced energy consuming rate.

  • PDF

Barriers to Realization of Forestry Mitigation Potential in India

  • Murthy, Indu K;Prasad KV, Devi
    • Journal of Forest and Environmental Science
    • /
    • v.34 no.5
    • /
    • pp.405-411
    • /
    • 2018
  • Implementation of mitigation options on land is important for realisation of the goals of the Paris Agreement to stabilize temperature at $2^{\circ}C$. In India, the Intended Nationally Determined Contribution (INDC) targets include a forestry goal of creation of carbon sinks of 2.5 to 3 billion tonnes by 2030. There are however, multiple barriers to implementation of forestry mitigation options in India. They include environmental, social, financial, technological and institutional barriers. The barriers are varied not just across land categories but also for a land category depending on its regional location and distribution. In addition to these barriers is the impeding climate change that places at risk realisation of the mitigation potential as rising temperatures, drought, and fires associated with projected climate change may lead to forests becoming a weaker sink or a net carbon source before the end of the century.

Determinating Sensor Location for Guided-Wave-Based Long Range Pipeline Inspection (유도파 기반 장거리 파이프라인 검사를 위한 모니터링 센서의 위치결정)

  • Na Won-Bae;Ryu Yeon-Sun;Kim Jeong-Tae
    • Proceedings of the Computational Structural Engineering Institute Conference
    • /
    • 2006.04a
    • /
    • pp.232-239
    • /
    • 2006
  • Guided wave techniques have been used for pipeline inspection because of the long range inspection capability of guided waves. One of main concerns of these technique is how ones decide the axial interval of sensors when they are utilized for pipeline inspection. This question is related to the characteristic of cylindrical guided wave propagation, especially wave attenuation. Thus, attenuation of fundamental longitudinal guided wave propagating liquid-filled steel pipes is numerically investigated in the paper. Several liquids such as water, diesel oil, castor oil etc. are considered for the filing materials in the pipes. Sink is considered for numerical models for abandoning standing wave modes; hence, the attenuation dispersion curves become much simpler. Those attenuation calculations can be utilized for guided-wave-based nondestructive testing of pipelines when one inspects pipelines, using monitoring sensors, which are installed outside pipes.

  • PDF

Temporal Variation of Air Temperature in Ice-Valley at Milyang in Association with Ice Formation

  • Lee, Soon-Hwan;Hwang, Soo-Jin
    • Journal of the Korean earth science society
    • /
    • v.28 no.5
    • /
    • pp.598-602
    • /
    • 2007
  • A long-term in situ observation was carried out in the Ice-valley at Milyang in order to explain the factors and processes associated with the summertime ice formation. The variation of temperature inside Ice-valley in relation with ice formation in summer time was found to depend on precipitation rate in spring and cold air sinking in autumn and winter. The rate of temperature rising tends to correspond to sensible heat release depending on the precipitation amount at the freezing location. The reason of the cold air accumulation in a talus in the Ice-valley is the cold air sinking over the surface of talus due to the occurrence of outside clod air mass and the accumulated cold air from autumn to spring flow outside at the bottom of talus. The out-flowing cold air can result in the ice formation in the hot summer.

A Location Information-based Gradient Routing Algorithm for Ad Hoc Network (애드혹 네트워크를 위한 위치정보 기반 기울기 라우팅 알고리즘)

  • Bang, Min-Young;Lee, Bong-Hwan
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2009.11a
    • /
    • pp.545-546
    • /
    • 2009
  • 본 논문에서는 애드혹 네트워크에서 임의의 source 노드 및 sink 노드 간의 경로 설정 시 두 노드의 위치 정보를 이용하여 노드간의 기울기를 구하고, 이 기울기에 인접한 노드들 가운데 통신 가능한 상태 및 배터리 정보를 고려하여 라우팅 경로를 결정하기 위한 위치정보 기반 기울기 라우팅 알고리즘을 제안한다. 제안한 기울기 라우팅 알고리즘은 데이터 전송 시 8 방향으로 이웃한 노드들 가운데 하나의 forwarding 노드를 선택하는 가상 구조를 갖게 되며, 부분적으로 경로 설정이 이루어짐으로써 트래픽의 감소와 전달 지연시간이 줄어들 것으로 기대한다.

A Wireless Sensor Network Architecture and Security Protocol for Monitoring the State of Bridge (교량감시를 위한 무선 센서 네트워크 구조 및 보안 프로토콜)

  • Lim Hwa-Jung;Jeon Jin-Soon;Lee Heon-Guil
    • Journal of the Korea Computer Industry Society
    • /
    • v.6 no.3
    • /
    • pp.465-476
    • /
    • 2005
  • The wireless sensor network consists of a number of sensor nodes which have physical constraints. Each sensor node senses surrounding environments and sends the sensed information to Sink. In order to alleviate the inherent vulnerability in security of the wireless sensor nodes with the hardware constraints, the lightweight security protocol is needed and a variety of research is ongoing. In this paper, we propose a non-hierarchical sensor network and a security protocol that is suitable for monitoring man-made objects such as bridges. This paper, furthermore, explores a two-layer authentication, key distribution scheme which distributes the key and location of a sensor node in advance, and an effective security routing protocol which can take advantage of the Sleep and Awake state. This also results in the increased data transfer rate by increasing the number of alternative routing paths and the reduced energy consumption rate.

  • PDF

A Study on the Pipe Position Estimation in GPR Images Using Deep Learning Based Convolutional Neural Network (GPR 영상에서 딥러닝 기반 CNN을 이용한 배관 위치 추정 연구)

  • Chae, Jihun;Ko, Hyoung-yong;Lee, Byoung-gil;Kim, Namgi
    • Journal of Internet Computing and Services
    • /
    • v.20 no.4
    • /
    • pp.39-46
    • /
    • 2019
  • In recently years, it has become important to detect underground objects of various marterials including metals, such as detecting the location of sink holes and pipe. For this reason, ground penetrating radar(GPR) technology is attracting attention in the field of underground detection. GPR irradiates the radar wave to find the position of the object buried underground and express the reflected wave from the object as image. However, it is not easy to interpret GPR images because the features reflected from various objects underground are similar to each other in GPR images. Therefore, in order to solve this problem, in this paper, to estimate the piping position in the GRP image according to the threshold value using the CNN (Convolutional Neural Network) model based on deep running, which is widely used in the field of image recognition, As a result of the experiment, it is proved that the pipe position is most reliably detected when the threshold value is 7 or 8.