P2P cloud network services for IoT based disaster situations information

Abstract

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.

Big data and disaster management: a systematic review and agenda for future research

“…These studies focus on how to solve problems in relation to post-earthquake emergency response (Ghosh and Gosavi, 2017), early warning system for biodiversity (Rovero and Ahumada, 2017), welfare impacts of urban disasters (Grinberger and Felsenstein, 2016), etc. This includes the use of semi-Markov model, cloud-based architecture, agent-based models, and P2P cloud network services (Chung and Park, 2016). We also note that an equivalent number of review and conceptual studies have been done on DM.…”

“…Moreover, we note that 2 articles (2.6%) focussed on general disaster management without specifying any particular phase of disaster while 5 articles (6.6%) targeted all the four phases of disaster. Goff and Cain, 2016;Kuo et al, 2016;Park et al, 2016;Keon et al, 2015;Johal, 2015;Ram et al, 2015;Haworth and Bruce, 2015;Li et al, 2015;Radianti et al, 2015;Schultz, 2012;Prewitt, 2013;Fosso-Wamba et al, 2015 Response Ghosh and Gosavi, 2017;Hultquist and Cervone, 2017;Papadopoulos et al, 2017;Erdelj et al, 2017;Palmieri et al, 2016;Tan et al, 2016;Grabowski et al, 2016;Collins et al, 2016;Vinoth Krishnan et al, 2016;Alamdar et al, 2016;Haug et al, 2016;Choi, 2016;Chen et al, 2015;Lee et al, To identify the major research clusters of this field, the Louvain algorithm was applied to 235 node network using Gephi. We observed that the value of modularity index was 0.15, which indicates a strong bond among the nodes of any particular cluster.…”

Multi-Level Health Knowledge Mining Process in P2P Edge Network

“…When data is transferred from P2P, the cloud server processes storage, processing, and content usage. Cloud computing can reduce money, manpower and data loss to build a server in a hybrid P2P network [18]. Also, if the Internet is available, data stored on the server can be used regardless of time and places.…”

Non‐zero‐sum game‐based trust model to enhance wireless sensor networks security for IoT applications

“…IoT presents the inter‐connection between the technologies and systems that would be involved in natural disaster management such as early warning system [4, 5]. IoT network is used to reduce the natural crisis consequences such as early shutting down for the sensitive applications by delivering a quick signal to a nuclear plant.…”