Informatics Publishing Limited

Neeru Gupta ¹, Deepak Choudhary ¹

Affiliations
1 Department of Computer Science, Manav Bharti University, Solan, H.P., IN

Abstract

Damage due to flooding has increase in many countries in the last years, and due to the global climate change, which is now recognized as a real threat, an increase in the occurrence of flooding events and especially of flash flooding events is likely to continue into the future. In those conditions and because building new flood defences structures for defending vulnerable areas has serious financial implications, the timely forecasting of floods is becoming more important for flood defence and in general for water management purposes. The complexity of natural systems and of hydrological processes that influence river levels evolutions make the traditional modelling approaches, based on mirroring natural processes with physically based equations very difficult. The paper reviews the applications of neural networks and fuzzy logic in operational hydrological forecasting.

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Deepak Choudhary ¹

Affiliations
1 Electronics and Communication Department, ABES Engineering College Ghaziabad - 201009,Uttar Pradesh, IN

Abstract

Wireless Sensor Network is described using the MARTE profile. In the UML/MARTE models Wireless Sensor Network is specified, defining the nodes that composed the network and characterizing the communication established among these nodes in the network. There are numerous ways to attack a Wireless Network. In this paper we study these techniques and propose alternative methods to simulate these attacks using a virtual simulator framework based on native HW/SW simulation methodology. Bearing in mind the emerging market in Wireless Sensor Network technology and its high vulnerability to attacks, it is important to provide new simulation techniques that allow the developer to obtain estimations in early stages of system design.

Keywords

Energy, Jamming, Performance Estimation, Simulation, Wireless Sensor Network, UML/MARTE.

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