• 한국정보통신학회논문지
• /
• 제17권11호
• /
• pp.2708-2716
• /
• 2013

본 논문에서는 지능형 디지털 선박의 추진 시스템에서 요구되는 임베디드 원격 모니터링 진단 시스템 개발에 관하여 기술하였다. 원격 모니터링 진단 시스템은 크게 선박 통합 관리시스템, 서버, 원격 모니터링을 담당하는 전용 휴대용 단말기와 상용 스마트폰으로 구성되며, 이를 위하여 사용자 중심의 UI 환경을 가진 통신 프로토콜을 설계하였다. 제안된 시스템은 효율적인 이중구조 통신채널로서 원격 모니터링 시스템에서 간편하면서도 효율적인 통신 프로토콜을 제공하며, 오작동하는 무선통신 채널은 즉시 교체된다. 본 시스템에서는 LCD 화면을 위해 효율적인 임베디드 리눅스 UI를 개발하였으며, 개발된 무선 모니터링 시스템을 평가하기 위하여 실제로 디지털 선박에서 성능을 검증하였다.

• 융합보안논문지
• /
• 제7권4호
• /
• pp.115-121
• /
• 2007

유/무선 망에서 통신 노드 간에 통신 실패로 이동 에이전트는 비록 망에서 일시적인 정보 서비스를 이용 할지 모르지만 모든 전송 정보가 블록되고 만다. 이러한 문제를 해결하기 위해 본 논문은 모바일 에이전트가 원할 한 전송을 보장받기 위한 경로 재순서 방법을 제안한다.

• 한국정보기술응용학회:학술대회논문집
• /
• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
• /
• pp.27-30
• /
• 2005

Because of unreplenishable power resources, reducing node energy consumption to extend network lifetime is an important requirement in wireless sensor networks. In addition both path length and path cost are important metrics affecting sensor lifetime. We propose a dynamic clustering scheme based on location in wireless sensor networks. Our scheme can localize the effects of route failures, reduce control traffic overhead, and thus enhance the reachability to the destination. We have evaluated the performance of our clustering scheme through a simulation and analysis. We provide simulation results showing a good performance in terms of approximation ratios.

• 한국시뮬레이션학회논문지
• /
• 제25권2호
• /
• pp.31-40
• /
• 2016

무선센서네트워크는 해양환경, 군사시설 등 다양한 분야에서 활용되고 있다. 이러한 활용은 센서 데이터를 기반으로 이루어지기 때문에 센서 데이터는 굉장히 중요하다. 무선센서네트워크에서의 통신은 주위 환경에 매우 민감하게 영향을 받기 때문에 통신장애가 발생할 확률이 높다. 특히 수중통신의 경우 좁은 대역폭과 느린 전송 속도, 주변 환경의 잡음 등으로 인해 전파통신에 비해 통신장애는 더 빈번하게 발생한다. 통신장애가 발생하면 센서 데이터 전달과정에서 데이터가 손실될 수 있고, 이는 화재감지 시스템과 같이 실시간성이 중요한 분야에서는 큰 피해를 입을 수 있다. 이를 위해 센서 데이터의 저장 및 압축을 위한 연구를 진행하였지만 이를 위한 프레임워크가 존재하지 않아 그 실현에 어려움이 있었다. 따라서 본 논문에서는 센서 데이터의 손실 감소를 위한 프레임워크를 제안하고 성능을 분석하였다. 분석 결과, 프레임워크를 적용하지 않은 경우에는 통신장애 발생 후 t 시간이 경과함에 따라 T/t(T는 통신장애 발생 시 데이터 저장에서 메모리가 full 상태가 되는 시간)의 복구율 감소를 보인다. 게다가, T 시간 이후의 센서 데이터는 모두 복구가 불가능한 오류에 해당한다. 그러나, 제안한 프레임워크를 적용한 경우는 100%의 데이터 복구율과 2~6%의 복구 후 데이터 오차율을 보인다.

• 한국군사과학기술학회지
• /
• 제21권5호
• /
• pp.640-648
• /
• 2018

Time division wireless communication in tactical MANET is attractive to deliver both high data rates and long-range coverage, and to provide scheduled QoS to mission participants. This paper is about the time synchronization issue of multi-mission USV in tactical MANET. As USV communication coverage becomes longer, the synchronization error also becomes higher; therefore, which results in link disconnection, and consequent failures of reconnection because base station cannot configure necessary parameters over long-distant terminal. We propose a range adaptive time synchronization method to compensate for synchronization errors. The issue of long-range time synchronization problem was identified during maritime communication tests, and we verified the proposed method through analyses of both indoor and outdoor test results.

• Journal of Information Processing Systems
• /
• 제12권1호
• /
• pp.57-72
• /
• 2016

To provide effective communication in the wireless mesh network (WMN), several algorithms have been proposed. Since the possibilities of numerous failures always exist during communication, resiliency has been proven to be an important aspect for WMN to recover from these failures. In general, resiliency is the diligence of the reliability and availability in network. Several types of resiliency based routing algorithms have been proposed (i.e., Resilient Multicast, ROMER, etc.). Resilient Multicast establishes a two-node disjoint path and ROMER uses a credit-based approach to provide resiliency in the network. However, these proposed approaches have some disadvantages in terms of network throughput and network congestion. Previously, the buffer based routing (BBR) approach has been proposed to overcome these disadvantages. We proved earlier that BBR is more efficient in regards to w.r.t throughput, network performance, and reliability. In this paper, we consider the node/link failure issues and analogous performance of BBR. For these items we have proposed a resilient packet transmission (RPT) algorithm as a remedy for BBR during these types of failures. We also share the comparative performance analysis of previous approaches as compared to our proposed approach. Network throughput, network congestion, and resiliency against node/link failure are particular performance metrics that are examined over different sized WMNs.

• Journal of Information Processing Systems
• /
• 제6권3호
• /
• pp.413-434
• /
• 2010

Wireless sensor networks are usually characterized by dense deployment of energy constrained nodes. Due to the usage of a large number of sensor nodes in uncontrolled hostile or harsh environments, node failure is a common event in these systems. Another common reason for node failure is the exhaustion of their energy resources and node inactivation. Such failures can have adverse effects on the quality of the real-time services in Wireless Sensor Networks (WSNs). To avoid such degradations, it is necessary that the failures be recovered in a proper manner to sustain network operation. In this paper we present a dynamic Energy efficient Real-Time Job Allocation (ERTJA) algorithm for handling node failures in a cluster of sensor nodes with the consideration of communication energy and time overheads besides the nodes' characteristics. ERTJA relies on the computation power of cluster members for handling a node failure. It also tries to minimize the energy consumption of the cluster by minimum activation of the sleeping nodes. The resulting system can then guarantee the Quality of Service (QoS) of the cluster application. Further, when the number of sleeping nodes is limited, the proposed algorithm uses the idle times of the active nodes to engage a graceful QoS degradation in the cluster. Simulation results show significant performance improvements of ERTJA in terms of the energy conservation and the probability of meeting deadlines compared with the other studied algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제7권7호
• /
• pp.1585-1609
• /
• 2013

Over recent years, enormous amounts of research in wireless sensor networks (WSNs) have been conducted, due to its multifarious applications such as in environmental monitoring, object tracking, disaster management, manufacturing, monitoring and control. In some of WSN applications dependent the energy-efficient and link reliability are demanded. Hence, this paper presents a routing protocol that considers these two criteria. We propose a new mechanism called Reliable Routing Scheme for Energy-Balanced (RRSEB) to reduce the packets dropped during the data communications. It is based on Swarm Intelligence (SI) using the Ant Colony Optimization (ACO) method. The RRSEB is a self-adaptive method to ensure the high routing reliability in WSNs, if the failures occur due to the movement of the sensor nodes or sensor node's energy depletion. This is done by introducing a new method to create alternative paths together with the data routing obtained during the path discovery stage. The goal of this operation is to update and offer new routing information in order to construct the multiple paths resulting in an increased reliability of the sensor network. From the simulation, we have seen that the proposed method shows better results in terms of packet delivery ratio and energy efficiency.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권2호
• /
• pp.536-564
• /
• 2019

Soft faults are inherent in wireless sensor networks (WSNs) due to external and internal errors. The failure of processes in a protocol stack are caused by errors on various layers. In this work, impact of errors and channel misbehavior on process execution is investigated to provide an error classification mechanism. Considering implementation of WSN protocol stack, inter-process correlations of stacked and peer layer processes are modeled. The proposed model is realized through local and global decision trees for fault diagnosis. A hybrid framework is proposed to implement local decision tree on sensor nodes and global decision tree on diagnostic cluster head. Local decision tree is employed to diagnose critical failures due to errors in stacked processes at node level. Global decision tree, diagnoses critical failures due to errors in peer layer processes at network level. The proposed model has been analyzed using fault tree analysis. The framework implementation has been done in Castalia. Simulation results validate the inter-process correlation model-based fault diagnosis. The hybrid framework distributes processing load on sensor nodes and diagnostic cluster head in a decentralized way, reducing communication overhead.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권3호
• /
• pp.1321-1332
• /
• 2016

Wireless sensor networks (WSN) are self-organized networks that typically consist of thousands of low-cost, low-powered sensor nodes. The reliability and availability of WSNs can be affected by faults, including those from radio interference, battery exhaustion, hardware and software failures, communication link errors, malicious attacks, and so on. Thus, we propose a novel multi-agent fault tolerant system for wireless sensor networks. Since a major requirement of WSNs is to reduce energy consumption, we use multi-agent and mobile agent configurations to manage WSNs that provide energy-efficient services. Mobile agent architecture have inherent advantages in that they provide energy awareness, scalability, reliability, and extensibility. Our multi-agent system consists of a resource manager, a fault tolerance manager and a load balancing manager, and we also propose fault-tolerant protocols that use multi-agent and mobile agent setups.