• Smart Media Journal
• /
• v.6 no.4
• /
• pp.24-31
• /
• 2017

In wireless sensor networks, sensor nodes are deployed in a remote, harsh environment. When the power of the sensor node is consumed in such a network, the sensor nodes become useless together with the deterioration of the quality and performance of the sensor network which may save human life. Although many clustering protocols have been proposed to improve the energy consumption and extend the life of the sensor network, most of the previous studies have shown that the overhead of the cluster head is quite large. It is important to design a routing protocol that minimizes the energy consumption of each node and maximizes the network lifetime because of the power limitations of the sensor nodes and the overhead of the cluster heads. Therefore, in this paper, we propose an efficient clustering scheme that reduces the burden of cluster heads, minimizes energy consumption, and uses algorithms that maximize network lifetime. Simulation results show that the proposed clustering scheme improves the energy balance and prolongs the network life when compared with similar techniques.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.5
• /
• pp.942-948
• /
• 2016

WSN based on wireless sensor nodes, Sensor nodes can not be reassigned and recharged if they once placed. Each sensor node comes into being involved to a communication network with its limited energy. But the existing proposed clustering techniques, being applied to WSN environment with irregular dispersion of sensor nodes, have the network reliability issues which bring about a communication interruption with the local node feature of unbalanced distribution in WSN. Therefore, the communications participation of the sensor nodes in the suggested algorithm is extended by 25% as the sensor field divided in the light of the non-uniformed distribution of sensor nodes and a static or a dynamic clustering algorithm adopted according to its partition of sensor node density in WSN. And the entire network life cycle was extended by 14% to ensure the reliability of the network.

• The KIPS Transactions:PartC
• /
• v.12C no.6 s.102
• /
• pp.875-880
• /
• 2005

One of the most important issues in the sensor network with resource-constrained sensor nodes is prolonging the network lifetime by efficiently utilizing the given energy of nodes. The most representative mechanism to achieve a long-lived network is the clustering mechanism. In this paper, we propose a new dynamic-size multi-hop clustering mechanism in which the burden of a node acting as a cluster head(CH) is balanced regardless of the density of nodes in a sensor network by adjusting the size of a cluster based on the information about the communication load and the residual energy of the node and its neighboring nodes. We show that our proposed scheme outperforms other single-hop or fixed-size multi-hop clustering mechanisms by carrying out simulations.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.07a
• /
• pp.113-114
• /
• 2019

다수의 센서 노드로 구성된 IoT 환경에서는 네트워크 수명, 센서 노드의 통신 범위 제한과 같은 제약 사항들이 있다. 이러한 한계점을 해결하기 위해 밀집된 센서 노드 간의 협력이 필요하다. 이때, 밀집된 센서 노드들은 에너지 낭비 및 전송 데이터의 정확도를 저하시킨다. 본 연구에서는 데이터 집중으로 인해 발생하는 네트워크의 에너지 낭비 및 전송 데이터의 정확도 문제를 해결하기 위해 자체조직지도(Self Organized Map, SOM)를 기반으로 한 클러스터링 기법을 제안한다. 결과적으로 제안된 기법을 통하여 클러스터링 된 노드들은 다른 클러스터링 기법과 비교했을 때 밀도 기반의 정확한 예측 값을 얻을 수 있다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.10c
• /
• pp.16-18
• /
• 2004

무선 센서 네트워크는 센서들을 무선으로 연결하여 데이터 교환을 통해 다양한 환경에서 정보를 수집할 수 있도록 하는 유용한 도구이다. 센서노드 간의 통신은 센서노드의 제한된 에너지를 효율적으로 이용하도록 만들어져야만 한다. 클러스터링에 기반한 계층적 라우팅 기법은 클러스터 내의 노드들은 클러스터헤드와만 통신을 하게하고 클러스터헤드가 한꺼번에 싱크에게 통합된 정보를 보내게 하여 에너지를 절약하는 기법이다. 본 연구에서는 이러한 클러스터링 기반의 라우팅에서 에너지 효율을 높이기 위해 싱크와 클러스터헤드 사이의 거리에 따른 최적 클러스터 크기를 계산하고, 원형의 전체 토폴로지에서 계산된 값과 일치됨을 확인해 보았다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.11a
• /
• pp.866-869
• /
• 2007

센서 네트워크(Sensor network)는 주변 데이터를 수집하기 위해 널리 퍼뜨려진 작고, 값싼 센서들이 밀집된 무선 네트워크이다. 또한 센서 네트워크는 특수한 활동을 수행하기 위하여 상호 협동하는 센서 노드들의 모임으로 나타낼 수 있으며, 무선 센서 네트워크는 멀리 떨어진 위치에서 물리적인 환경의 감시와 제어를 용이하게 한다. 그러므로, 센서 네트워크는 기후가 혹독한 위치에서 감지한 정보를 모으거나 군사 목적, 주변 환경 감시와 같은 다양한 분야에서 응용되고 있다. 그러나, 일반적으로 저전력 센서들을 이용하는 센서 네트워크는 에너지 효율성을 고려하여 전체 네트워크 성능을 저하시키지 않고 데이터를 수집하는 것이 가장 큰 목적이다. 따라서, 본 논문에서는 위치 측정으로 인한 상대적인 위치 정보에 기반한 클러스터링 기법인 홉 트리(Hop-tree)를 제안한다. 제안된 클러스터링 기법은 위치 측정으로 인해 각 센서 노드들의 상대적인 위치를 알 수 있다는 것과 각 센서 노드들의 에너지를 효율적으로 이용할 수 있다는 장점을 가진다.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.9
• /
• pp.75-84
• /
• 2014

In this paper, we constructed a sensor network environment where various sensors are used. Then, we evaluated the performance when this environment adopted existing clustering algorithms that are designed for only single type sensors network. In our experiments, we considered two different types of the networks. In the first, all nodes are equipped with identical sensors. In the second, all nodes are equipped with three different types of sensors. We measured performance variations of several clustering schemes in accordance with sensor data accuracy, sensor node resource depletion timing, amount of available energy, node isolation ratio, and network lifetime. According to our performance analysis, we proved that existing clustering algorithms are partially inefficient to maintain the various-sensor network. Consequently we suggest that a new algorithm is required to take aim at the various sensor network.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.4
• /
• pp.996-1004
• /
• 2013

In this paper, we propose two clustering schemes to prolong lifetime by improving unbalance of energy consumption among sensor nodes in wireless sensor networks. The first proposed scheme make up clusters according to density of sensor nodes in initial stage of wireless sensor networks for reducing energy consumption of wireless sensor networks. After the initial stage, a cluster header is selected by a relay scheme that determines a cluster header of next round among cluster members. by estimating of energy consumption of cluster members for improving unbalance of energy consumption among cluster members.

• Journal of Korea Multimedia Society
• /
• v.12 no.7
• /
• pp.997-1005
• /
• 2009

In this paper, we suggest an energy-efficient clustering scheme based on cross-layer design in wireless sensor networks. The proposed scheme works adequately for the characteristic environment of the networks. In the proposed clustering scheme, we separate clusters composed of sensor nodes in the event area from clusters of the other area when an event occurs by using an application layer information. We can save energy from multiple paths through multiple clusters to deliver the same event. We also suggest TDMA scheduling for non-evented clusters. In the scheduling, we allocate one time slot for each node to save energy. The suggested clustering scheme can increase the lifetime of the entire network. We show that our scheme is energy efficient through simulation in terms of the frequency of event occurrences, the event continual time and the scope.

• Journal of KIISE
• /
• v.42 no.5
• /
• pp.671-680
• /
• 2015

Numerous clustering schemes have been proposed to increase energy efficiency in wireless sensor networks. Clustering schemes consist of a hierarchical structure in the sensor network to aggregate and transmit data. However, existing clustering schemes are not suitable for use in wireless multimedia sensor networks because they consume a large quantity of energy and have extremely short lifetime. To address this problem, we propose the Energy-Aware Cooperative Communication (EACC) method which is a novel cooperative clustering method that systematically adapts to various types of multimedia data including images and video. An evaluation of its performance shows that the proposed method is up to 2.5 times more energy-efficient than the existing clustering schemes.