• Journal of KIISE:Information Networking
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• v.35 no.1
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• pp.1-10
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• 2008

Once the sensor node in wireless sensor networks is installed, it usually operates without human intervention for a long time. The remote code update scheme is required because it is difficult to recall the sensor node in many situations. Therefore, studies on the reliable and efficient transport protocol for code propagation in wireless sensor networks have been increasingly done. However, by considering only the stability aspect of transmission, most of previous works ignore the consideration on the fast code propagation. This results the energy inefficiency by consuming unnecessary energy due to the slow code propagation. In this paper, in order to overcome limitation of the previous code propagation protocols, we propose a new code propagation protocol called "FCPP(Fast Code Propagation Protocol)". The FCPP aims at improving the reliability at well as performance. For this purpose, the FCPP accomplishes the fast code propagation by using the RTT-based transmission rate control and NACK suppression scheme, which provides a better the network utilization and avoids a unnecessary transmission delay. Based on the ns-2 simulation result, we prove that the FCPP Improves significantly both reliability and performance.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.7
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• pp.804-808
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• 2010

In this paper, we propose Restricted Angle-control Flooding considered density network of sensor nodes and node‘s limit energy. Restricted Angle-control Flooding, increase energy efficiency by reducing unnecessary candidate nodes involved in forwarding closer to the destination. And The Hole when faced with our proposal to raise rates data through Hole Detection which is sender‘s forwarding area is extended or broadcast to the entire network. Compared to the traditional flooding, we show the superiority at the node’s energy consumption, data rate and network lifetime through the performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.8B
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• pp.482-491
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• 2007

This paper proposes a k-disjoint-path routing algorithm that provides energy efficient and reliable message transmission in wireless sensor networks. The proposed algorithm sends messages through a single path without the occurrence of critical events. However, it sends through k disjoint paths(k>1) under the occurrence of critical events. The proposed algorithm detects the occurrence of critical events by monitoring changing data patterns, and calculates k from a well-defined fault model and the target-delivery ratio. Our simulations reveal that the proposed algorithm is more resilient to node failure than other routing algorithms, and it also decreases energy consumption and reduces the average delay much more than multi-path and path-repair algorithms.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.1
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• pp.1-11
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• 2020

Wireless sensor networks consist of a large number of tiny sensor nodes which have limited battery life. In order to maximize the network life span, we propose an optimal transmission radius, R, for control messages. We analyze the transmission radius as a function of the energy consumption of cluster head nodes and the energy consumption of member nodes to find the optimal value of R. In simulations we apply our proposed optimization of transmission range to LEACH-based single-hop and multi-hop networks to show that our proposed scheme outperforms other existing routing algorithms in terms of network life span.

• Journal of Satellite, Information and Communications
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• v.10 no.3
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• pp.6-10
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• 2015

RF energy harvesting technology is a promising technology for generating the electrical power from ambient RF signal to operate low-power consumption devices(eg. sensor) in wireless communication networks. This paper, motivated by this and building upon existing CR(Cognitive Radio) network model, proposes a optimal control policy for RF energy harvesting CR networks model where secondary users that have low power consumption harvest ambient RF energy from transmission by nearby active primary users, while periodically sensing and opportunistically accessing the licensed spectrum to the primary user's network. We consider that primary users and secondary users are distributed as Poisson point processes and contact with their intended receivers at fixed distances. Finally we can derive the optimal frame duration, transmission power and density of secondary user from the proposed model that can maximize the secondary users's throughput under the given several conditions and suggest future directions of research.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.300-305
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• 2007

무선 센서 네트워크 시스템에서의 각 노드의 에너지는 제한적이기 때문에 에너지 효율적인 무선 센서 네트워크 시스템에 대한 연구가 활발하게 이루어져왔다. 무선 센서 네트워크는 목적에 따라 무선 센서 네트워크 기반의 모니터링 시스템과 질의처리 시스템으로 분류할 수 있다. 모니터링 시스템은 각 센서노드에서 센싱 데이터의 값이 변화가 없더라도 각 주기마다 전송하기 때문에 모니터링 주기가 짧아질수록 더 많은 양의 에너지가 낭비된다. 또한 모니터링 주기가 길어질수록 생성된 데이터에 대한 신뢰도가 감소하는 문제가 발생한다. 질의처리 시스템의 경우 중복질의 처리를 위해 많은 양의 에너지가 낭비된다. 본 논문에서는 분산 데이터베이스 개념을 기반으로 무선 센서 네트워크에 프록시 시스템을 적용하여 에너지 효율적인 모니터링과 질의처리 방법을 제안한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.978-983
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• 2010

Acoustic target classification in wireless sensor network is important research at environmental surveillance, invasion surveillance, multiple target separation. General sensor node signal processing methods concentrated on received signal energy based target detection and received raw signal compression. The former is not suited to target classification because of almost every target information are lost except target energy. The latter bring down life-time of sensor node owing to high computational complexity and transmission energy. In this paper, we introduce an feature extraction algorithm for acoustic target classification in wireless sensor network which has time and frequency information. The proposed method extracts time information and de-noised target classification information using wavelet decomposition step. This method reduces communication energy by 28% of original signal and computational complexity.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.665-667
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• 2011

최근에 에너지 효율적이며 신뢰성 있는 데이터 전송을 보장하기 위한 많은 라우팅 기법의 연구가 진행되고 있다. 하지만 현재까지 무선센서네트워크에서의 표준 라우팅 기법이 없는 상황에서 신뢰성을 제공하기 위한 새로운 라우팅 기법을 제안하는 것은 실용적이지 않으며 비효율적이다. 본 논문에서는 신뢰성 있는 데이터 전송을 범용적으로 보장하기 위해서 기존의 라우팅 기법의 신뢰성 및 확장성을 제공하는 모듈기법인 DRDT(Delay-based Reliable Data Transmission)를 향상시킨 ADRDT(Advenced Delay-based Reliable Data Transmission) 기법을 제안한다. ADRDT는 수신노드가 불안정한 링크상태로 인해 데이터 수신을 실패하는 경우 데이터를 오버히어링한 헬퍼노드(helper node)의 협력적인 재전송을 통해 신뢰성을 제공한다. 헬퍼노드는 수신노드의 이웃노드가 데이터를 오버히어링할 때 딜레이를 이용한 분산적 방법을 통해 동적으로 선정되며, 수신노드와의 링크상태를 고려하기 때문에 효과적으로 재전송 횟수를 감소시킨다. 제안 기법은 기존 기법과 비교해 전송 비용을 약 16.5% 감소시킨다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.5
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• pp.596-603
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• 2019

A reprogramming operation is necessary to update the software code of the node to change or update the functionality of the deployed node in wireless sensor networks. This paper proposes an optimization algorithm that minimizes the transmission energy of a node for the purpose of reprogramming a node in wireless sensor networks. We also design an algorithm that keeps energy consumption of all nodes balanced in order to maintain the lifetime of the network. In this paper, we propose a Tabu search algorithm with a new neighborhood generation method for minimizing transmission energy and energy consumption in wireless sensor networks with many nodes. The proposed algorithm is designed to obtain optimal results within a reasonable execution time. The performance of the proposed Tabu search algorithm was evaluated in terms of the node's transmission energy, remaining energy, and algorithm execution time. The performance evaluation results showed better performance than the previous methods.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.121-128
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• 2023

To increase the lifetime of the network in wireless sensor networks, energy harvesting from the surrounding environment or wireless power transfer is being used. In addition, to reduce the energy imbalance and increase the amount of data gathered, a method using mobile sink nodes that visit sensor nodes to gather data has been used. In this paper, we propose a technique to reduce the load on the relay node and collect a lot of data evenly in this environment. In the proposed scheme, sensor nodes construct Minimum Depth Trees (MDTs) considering the network environment and energy, and allocate the data collection amount. Simulation results show that the proposed technique effectively suppresses energy depletion and collects more data compared to existing techniques.