Never Die Network Extended with Cognitive Wireless Network for Disaster Information System

Uchida, Noriki; Takahata, Kazuo; Shibata, Yoshitaka; Shiratori, Norio

doi:10.1109/cisis.2011.14

Cited by 21 publications

(10 citation statements)

References 6 publications

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“…The first task during the measurement update is to compute the Kalman gain K k by equation (3). The next step is to actually measure the process to obtain Z k , and then to generate an a posteriori state estimate by incorporating the measurement as in equation (4).…”

Section: B Kalman Filtermentioning

confidence: 99%

“…Local evacuation shelters and headquarter are connected with each other through those fixed and mobile wireless stations, and the nodes are consisted with multiple different wireless network interfaces. The each wireless transmission link and route are optimally selected by the current network conditions and user policies under the emergent situation [3].…”

Section: Network Configurationmentioning

confidence: 99%

“…As our previous studies [1][2] [3], local wireless network section is based on Cognitive Wireless Network System. In the network as Figure 2, there are fixed wireless stations with self-productive electric power system such as solar and wind system, and there are also mobile stations with wireless cars and ballooned wireless systems [4].…”

Section: Network Configurationmentioning

confidence: 99%

“…Therefore, Disaster Information Network System needs immortal connections for providing such important information. The authors have been studying the robust network connection methods based upon cognitive wireless network system so far [1][2] [3]. However, in order to provide important disaster information, it is also necessary to consider about the network configuration of the content's servers and QoS control for such as web based life safety information system.…”

Section: Introductionmentioning

confidence: 99%

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Proposal of Autonomous Cloud Based Network Control Methods for Disaster Information Network System with Cognitive Wireless Network

Uchida

Takahata

Shibata

2012

2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications

Self Cite

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When serious disaster such as the East Japan Great Earthquake occur, disaster information becomes extremely important for the disaster people. Therefore, the authors have been studying the robust network connection methods for Disaster Information Network System consisted with cognitive wireless and satellite system so far. However, in order to provide disaster information such as life safety information, evacuation shelter, and so on, it is also necessary to consider about the network configuration of the servers and QoS control for such as web based life safety information system. In fact, when the East Japan Great Earthquake happened, many Web and mail servers were down because of the destruction from the earthquake and tsunami or electric breakdown around wide area of East Japan. Moreover, heavy congestion made difficulty for providing network services.In this paper, we propose the autonomous network control methods using cloud computing system with robust cognitive wireless network. In our proposal system, cloud based servers are dynamically moved or produced by the network conditions by the damages or the congestions. Then, the evaluation of our proposal methods and future study is discussed.

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Section: B Kalman Filtermentioning

confidence: 99%

Section: Network Configurationmentioning

confidence: 99%

Section: Network Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proposal of Autonomous Cloud Based Network Control Methods for Disaster Information Network System with Cognitive Wireless Network

Uchida

Takahata

Shibata

2012

2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…for disaster information broadcasting [8][9][10]. Telephones or mobile phones have major disadvantages that they are highly influenced by traffic congestion and secondary communication disaster occurs because communications lines or nodes are easily damaged during a disaster [11,12].…”

Section: Introductionmentioning

confidence: 99%

P2P cloud network services for IoT based disaster situations information

Chung

Park

2015

Peer-to-Peer Netw. Appl.

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In order to cope with disaster situations properly, it is very important to identify the disaster scale and provide the accurate information of the site to the appropriate authorities including disaster site and Central Disaster Management Center, on-site command post, etc. and share the information provided. In particular, sharing information on disaster situations should control the disaster quickly to prevent the disaster situation from lasting and expanding. However, in the event of a large-scale disaster, delay is caused in the existing commercial network and therefore, the disaster situation cannot be communicated quickly and accurately. In order to determine the situation exactly in the event of a disaster, safety and connectivity of the network and flow of data are very important. Even if the stability of the network and connection of nodes are resolved in the network of each agency business operator, it is necessary to share the platform between networks for IoT/ M2M communication for the smooth flow of data. Recently, the disaster safety net of combining existing disaster standard technology with Ubiquitous Technology and Smart IT such as Tetra of Europe, iDEN of the U.S., etc. has been built for disaster safety communications. In addition, systems useful for demand-centered, site-centered immediate disaster response by using Mobile, SNS, cloud computing, etc. are being built and designed to play an important role in the disaster information system especially through IoT, P2P cloud network, big data, etc. Therefore, in this paper, we proposed the P2P cloud network service for IoT based disaster situations information according to the paradigm of the changing times. The proposed service is to combine IoT/M2M network with P2P cloud service for rapid and smooth response in the event of a disaster and provide the results as social services such as SNS. To this end, the wide area wireless disaster information network system has been built in the local and each local network is connected to each other to provide disaster situations by using the server of the disaster area. At this time, each server was to be interconnected via P2P network and to be connected automatically by software-based network in P2P Cloud System. Also, the cognitive cycle was applied for selecting optimal wireless link and router of P2P Cloudbased Disaster Information Network and the danger situations of the disaster area were to be provided to the user by configuring disaster information component for providing services and building central disaster information platform managing it.

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Space-Based Information Integrated Network Technology and Performance Analysis Based on Cognitive Radio

Shuai

Wang

et al. 2017

Machine Learning and Intelligent Communications

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Never Die Network Extended with Cognitive Wireless Network for Disaster Information System

Cited by 21 publications

References 6 publications

Proposal of Autonomous Cloud Based Network Control Methods for Disaster Information Network System with Cognitive Wireless Network

Proposal of Autonomous Cloud Based Network Control Methods for Disaster Information Network System with Cognitive Wireless Network

P2P cloud network services for IoT based disaster situations information

Space-Based Information Integrated Network Technology and Performance Analysis Based on Cognitive Radio

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