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Titlebook: Data and Communication Networks; Proceedings of GUCON Lakhmi C. Jain,Valentina E. Balas,Prashant Johri Conference proceedings 2019 Springer

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Dirk T. Tempelaar,Bart Rienties,Bas Giesbersesponses such as settling, rise, peak time, undershoot, and overshoot. Thus to optimized the parameters by minimizing integral square error (ISE) of the given system is improved by the proposed method.
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Protecting Multicast Sessions Against Single-Link Failure in Survivable WDM Mesh Networks,rmance of the proposed schemes is evaluated and compared with the reported state-of-the-art algorithm in the presence of dynamic traffic. An improvement of 7–15% is achieved using blocking probability as a performance metric.
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Selection of Software Development Model Using TOPSIS Methodology,es the defined options after evaluating them against confliction and multiple attributes. The research proposes a decision-making framework for the selection of software development model using one of the widely accepted multicriteria decision-making tools, i.e., TOPSIS.
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Situation-Aware Conditional Sensing in Disaster-Prone Areas Using Unmanned Aerial Vehicles in IoT Ed algorithm is based on the situation-aware conditional sensing for disaster-prone areas using unmanned aerial vehicles. The technique presented in this paper focuses on the control of way points of the aerial vehicles based on the events detected in the Internet of Things environment.
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Challenges in Mining Big Data Streams,ck exchange, etc. to realize the application and importance of big data mining. This paper explains about the use of parallel computing in data mining security issues and how to deal with them. Furthermore, this paper also discusses challenges associated with big streaming data with concept drifts.
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