Large Scale Distributed Disaster Information System based on MANET and Overlay Network

Shibata, Yoshitaka; Yuze, Hiroaki; Hoshikawa, T.; Takahata, Kazuo; Sawano, Nobuhiro

doi:10.1109/icdcsw.2007.41

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…Every node has multi wireless links like IEEE802.11a, IEEE802.11b, IEEE802.16 (WiMax), and IMT2000 (Shibata et al 2007). The lowest RF link is used as the control links for the purpose of sending a network characteristic data or message of switching links.…”

Section: Network Configurationmentioning

confidence: 99%

Transmission control methods with multihopped environments in cognitive wireless networks

Uchida

Takahata

Shibata

2010

J Ambient Intell Human Comput

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Cognitive wireless network (CWN) is expected as one of the most efficient transmission methods to solve today's wireless problems like the lack of wireless bands or the efficient usage of limited wireless resources. However, CWN have not established effective transmission methods considered with QoS or user-oriented transmission methods. In this paper, selective transmission control method in CWN considering with end-to-end QoS based on user policies is proposed. First, at the observation stage, the physical data such as electric field strength, bit error rate, jitter, latency, packet error rate, and throughput are observed. Then, at the decision stage, analytic hierarchy process (AHP) with user policy is applied for decision making process with those parameters. Finally, the action stage, one of the suitable links is chosen and changed links and networks. Also, the route selecting method is proposed based on extended AODV protocols. When route changes come to need, considerable wireless routes are listed by AODV protocol including network conditions. Then, the following three methods are used for route selection: (1) Route selection so that Maximizing End-to-End network conditions among all of the routes. (2) Route selection so that applying End-to-End AHP selection among all of the routes. (3) Route selection so that using min-max methods for the results of the policy based AHP. In our simulation, ns2 is used for the computational results to the effectiveness of the suggested transmission methods in CWNs. The results showed the effectiveness of the proposed methods.

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Section: Network Configurationmentioning

confidence: 99%

Transmission control methods with multihopped environments in cognitive wireless networks

Uchida

Takahata

Shibata

2010

J Ambient Intell Human Comput

Self Cite

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“…A MANET can be used to provide access to crisis management applications, such as in a disaster recovery, where the entire communication infrastructure is destroyed and establishing communication quickly is crucial [63]. By using a mobile ad hoc network, an infrastructure could be set up in hours rather than days or weeks, as in the case of a wired networking.…”

Section: Applicationsmentioning

confidence: 99%

Algorithms for Mobile Ad Hoc Networks

Boukerche

2008

Algorithms and Protocols for Wireless and Mobile Ad Hoc Networks

100

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“…Also, research on building wide area disaster information systems sharing the system by considering the strictness of information from service providers is being carried out and studies using the distributed server group are also in progress. However, it costs a lot in maintaining the server group and the consistency of functions such as update and delete cannot be guaranteed as access point increase [16][17][18][19][20].…”

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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Large Scale Distributed Disaster Information System based on MANET and Overlay Network

Cited by 7 publications

References 3 publications

Transmission control methods with multihopped environments in cognitive wireless networks

Transmission control methods with multihopped environments in cognitive wireless networks

Algorithms for Mobile Ad Hoc Networks

P2P cloud network services for IoT based disaster situations information

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