• 융합신호처리학회논문지
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• 제24권3호
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• pp.166-171
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• 2023

효율적인 에너지 관리는 제한된 자원을 가지는 센서 네트워크에서 매우 중요한 요소이며, 클러스터 기법은 그러한 관점에서 많은 연구가 이루어지고 있다. 그러나, 클러스터 헤더의 에너지 사용이 집중되는 문제가 발생할 수 있으며, 클러스터 헤더가 전 영역에 골고루 분포되지 않고 특정 영역에 집중되는 경우, 클러스터 멤버의 전송 거리가 크거나 매우 불균등한 상태가 될 수 있다. 전송거리는 에너지 소모의 문제와 직결될 수 있다. 특정 노드의 에너지가 빨리 고갈되는 것은 센서 네트워크 생존 기간을 줄이고, 전체 센서 네트워크의 효율이 저하되므로 센서 노드들의 균등한 에너지 소모는 매우 중요한 연구과제이다. 본 연구에서는 센서 클러스터 기법에서 클러스터 헤더와 센서 노드가 에너지를 균등하게 사용하기 위한 요소들을 분석하고, 클러스터 헤더가 센서 네트워크 전역에 골고루 분포하는 균등분포 클러스터링을 제안한다. 제안하는 클러스터 기법은 멀티홉 라우팅을 사용하여 원거리 전송으로 인한 센서 노드의 에너지 소모를 줄인다. 기존 연구에서 멀티홉 클러스터 기법은 클러스터 구성과 라우팅 경로 설정의 2단계 과정을 통해서 멀티홉 클러스터 경로를 설정하는 반면, 제안하는 방식은 클러스터 헤더를 선출하는 과정에서 클러스터 라우팅 경로를 설정하여 제어 메시지 과정을 최소화한다.

• Journal of Oral Medicine and Pain
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• 제6권1호
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• pp.45-56
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• 1981

The demand and supply of dentists was studied by the econometrical model. It is based on the data of socio-economic-cultural statistic from 1967 to 1977; GNP, average monthly consumption expenditure per household, consumption of milk, populat ion, consumption of energy, water supply per person a day and entrance rate of senior high school. 1.The curved regression equation and multiple correlation coefficient (R)between the number of dentists(Y) and year (x)were $Y=4,122(1.06)^x$,R=0.995. 2. From 1982 to 1985, expected demand and expected supply will be approximately balanced. But dentists will be oversupplied conspicuously from the year of 1986. Such a oversupply will be remarkably incresed to the amount of 1860 in the year of 2000. 3. It is seemed that balanced number of graduates of dental colleges will be about 350 to the year of 1985, from the year of 1986, will be about 450, from the year of 1981, will be about 600 and from the year of 1996, will be about 700. 4. In 2000, persons served by each dentist will be 3550 by the expected supply and 4120 by the expected demand.

• 한국멀티미디어학회논문지
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• 제17권4호
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• pp.458-465
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• 2014

In this paper, we propose a strategy to distribute the energy consumption over the network. The proposed strategy is based on geographic routing. We use a smart base station that maintains the residual energy and location information of sensor nodes and selects a head node and an anchor node using this information. A head node gathers and aggregates data from the sensor nodes in a target region that interests the user. An anchor node then transmits the data that was forwarded from the head node back to the smart base station. The smart base station extends network lifetime by selecting an optimal head node and an optimal anchor node. We simulate the proposed protocol and compare it with the LEACH protocol in terms of energy consumption, the number of dead nodes, and a distribution map of dead node locations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.97-115
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• 2022

Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

• 정보처리학회논문지C
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• 제14C권2호
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• pp.185-190
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• 2007

무선 센서 네트워크의 각 센서 노드는 배터리 기반의 제한된 에너지로 동작하기 때문에 무선 센서 네트워크에서의 효율적인 에너지 사용에 많은 연구가 이루어지고 있다. 무선 센서 네트워크의 수명을 연장하기 위해서는 무선 센서 네트워크에 존재하는 각 센서 노드들의 전력소비를 줄이는 것도 필요하지만 센서 노드들의 균일한 에너지 소비를 유도하여 가능한 많은 노드들이 생존하는 것이 망의 수명에 더욱 중요한 요인이 된다. 본 논문에서는 클러스터링 기반 라우팅 프로토콜인 LEACH를 기반으로 각 노드의 잔이 에너지를 고려하여 전체 노드의 균형적인 에너지 소모를 유도하는 클러스터 헤드 선정 알고리즘을 제안한다. 제안한 프로토콜에 대해서 시뮬레이션을 기반으로 네트워크 수명에 대한 분석을 수행하였다. 제안한 프로토콜은 심각한 오버헤드나 성능저하 없이 효과적으로 네트워크 수명을 연장하였다.

• 대한임베디드공학회논문지
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• 제9권4호
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• pp.193-203
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• 2014

This paper implements a weather monitoring system based on wireless sensor network. The wireless sensor network protocol proposed in this paper adopts a TDMA styled MAC. The protocol is designed to balance the energy consumption among sensor nodes. Other purposes of the protocol are to avoid the hidden terminal problem in 2-hop star topology, and to allow a CSMA styled communication in a given time slot to support emergent messages. Also, this paper develops the hardware of sensor node, gateway and electric generator based on solar and windy energy. The test results on the implemented system show that the time slot of each node is shifted in circular manner to balance the waiting time for transmission, and the reliability of wireless communication is over 99%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.3071-3095
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• 2013

Configuring optimization of wireless sensor networks, which can improve the network performance such as utilization efficiency and network lifetime with minimal energy, has received considerable attention in recent years. In this paper, a cross layer optimal approach is proposed for multi-source linear network and grid network under Rayleigh block-fading channels, which not only achieves an optimal utility but also guarantees the end-to-end reliability. Specifically, in this paper, we first strictly present the optimization method for optimal nodal number $N^*$, nodal placement $d^*$ and nodal transmission structure $p^*$ under constraints of minimum total energy consumption and minimum unit data transmitting energy consumption. Then, based on the facts that nodal energy consumption is higher for those nodes near the sink and those nodes far from the sink may have remaining energy, a cross layer optimal design is proposed to achieve balanced network energy consumption. The design adopts lower reliability requirement and shorter transmission distance for nodes near the sink, and adopts higher reliability requirement and farther transmission distance for nodes far from the sink, the solvability conditions is given as well. In the end, both the theoretical analysis and experimental results for performance evaluation show that the optimal design indeed can improve the network lifetime by 20-50%, network utility by 20% and guarantee desire level of reliability.

• Nutrition Research and Practice
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• 제4권5호
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• pp.433-437
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• 2010

In order to develop an obesity management program for teenagers, we compared obese and non-obese girls attending high schools in terms of their dietary practices related to snack consumption. Dietary records were collected for 7 days. No significant differences were found for the average daily energy intake between obese and non-obese girls. However, the highest energy intake was greater for obese girls while not much difference was found for the lowest amount of energy intake. Obese girls had significantly lower intakes in calcium (P < 0.01), vitamin A (P < 0.001) and folate (P < 0.01). Mean energy intake from snack ($594.1{\pm}312.1kcal$) was significantly higher for obese girls than for non-obese girls ($360.1{\pm}173.1kcal$) (P < 0.001). A significant, positive correlation was observed between energy intake from snack and total daily energy intake (r = 0.34 P < 0.01) only for obese girls. In case of dietary behaviors, obese adolescent girls consumed significantly greater number of items for snacks and fewer foods for regular meals compared to non-obese girls (P < 0.05). This study suggested that obesity management programs for adolescents should focus on providing strategies to reduce snack through enhancing balanced regular meals.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 춘계학술대회 논문집
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• pp.5-9
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• 2005

One of the imminent problems to be solved within wireless sensor network is to balance out energy dissipation among deployed sensor nodes. In this paper, we present a transmission relay method of communications between BS (Base Station) and CHs (Cluster Heads) for balancing the energy consumption and extending the average lifetime of sensor nodes by the fuzzy logic application. The proposed method is designed based on LEACH protocol. The area deployed by sensor nodes is divided into two groups based on distance from BS to the nodes. RCH (Relay Cluster Head) relays transmissions from CH to BS if the CH is in the area far away from BS in order to reduce the energy consumption. RCH decides whether to relay the transmissions based on the threshold distance value that is obtained as a output of fuzzy logic system. Our simulation result shows that the application of fuzzy logic Provides the better balancing of energy depletion and Prolonged lifetime of the nodes.

• 한국컴퓨터정보학회논문지
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• 제18권6호
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• pp.29-36
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• 2013

무선 센서 네트워크에서 센서 노드의 수명은 배터리에 의해 제한되므로 에너지는 가장 중요한 고려사항이다. 기존의 에너지 효율적인 라우팅 프로토콜들은 대부분 에너지 소비를 최소화하기 위해 최소 에너지 경로를 사용하는데, 이는 노드들 간의 잔류에너지를 불균등하게 만든다. 그 결과 에너지 효율적인 경로 상에 있는 노드들의 전원이 빠르게 고갈되고 네트워크에 참여할 수 없게 된다. 이러한 문제를 해결하기 위해 노드들의 에너지 소모를 균등하게 만드는 기법들이 제안되고 있다. 무선 환경에서는 링크의 품질에 따른 재전송으로 불필요한 에너지 소모가 발생하는데 대부분의 기법들은 링크 에러율을 고려하지 않고 있다. 따라서, 본 논문에서는 잔여 에너지와 링크 에러율을 고려하여 균등한 에너지 소모를 가지는 클러스터 기반의 멀티 홉 라우팅 기법을 제안한다. 제안하는 기법은 링크 에러율을 고려하기 때문에 불필요한 재전송에 따른 에너지 소비를 줄이고 트래픽도 골고루 분산시킨다. 시뮬레이션 결과 타 기법에 비해 제안하는 기법은 재전송 횟수가 감소하여 에너지 효율적이었고, 에너지 소모가 균등한 경로를 사용하여 모든 노드가 네트워크에 참여하는 기간이 연장되었다.