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      Realisation of a self-powered, secured and robust disaster recovery network

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          Abstract

          In this work, the authors are focusing on various aspects to support the reliability and security of a self-powered disaster recovery network (DRN) infrastructure. Different methods and algorithms were suggested to resolve the different logistic requirements to build a Green DRN Infrastructure. First of all the architecture of a DRN node is enhanced to support its robustness and availability against the different failure events which may occur due to many reasons such as power supply shortage or Denial of Service attacks. Secondly, the DRN Infrastructure Clustering algorithm is suggested to limit the size of the ad-hoc network and to isolate the problems in each cluster which offers a more efficient, robust and secured system. Finally, several fault tolerance procedures are described which provide different solutions against nodes or DRN server failure. This study also discussed the need to ensure the successful combination of different security solutions (using an Embedded Cooperative Hybrid Intrusion Detection System) and reliability methods (using the DRN clustering algorithm) with a probably managed solar energy powered. The different factors governing the behaviour of the system, its evaluation metrics are determined and its performance measurement is tested using an experimental platform customised for this purpose.

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          Most cited references 32

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          Relay-by-smartphone: realizing multihop device-to-device communications

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            Human-centric wireless sensor networks to improve information availability during urban search and rescue activities

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              Evaluating opportunistic networks in disaster scenarios

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                Author and article information

                Contributors
                Journal
                IET-CPS
                IET Cyber-Physical Systems: Theory & Applications
                IET Cyber-Phys. Syst., Theory Appl.
                The Institution of Engineering and Technology
                2398-3396
                2398-3396
                29 April 2019
                4 June 2019
                December 2019
                : 4
                : 4
                : 322-331
                Affiliations
                Computer Engineering Department, Mosul University , Mosul, Iraq
                Article
                IET-CPS.2018.5057 CPS.2018.5057.R1
                10.1049/iet-cps.2018.5057

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                Page count
                Pages: 0
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                Research Article

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