Supporting Service Differentiation in Multi-domain Multilayer Optical Networks

Wajdi Halabi — Wed, 29 Jan 2020 14:48:20 +0000

Providing differentiated quality of service became more and more important. This is not only because some service requests a high quality and real time transportation, but also because other services such as the capacity greedy applications request a higher bandwidth. In the meantime, has been the hybrid architecture consists of IP/MPLS domain and ASON/GMPLS optical domain projected as the infrastructure of the future internet. This architecture supports the transportation of the in near future expected data traffic on the ASON/GMPLS over DWDM optical domain, whereas it supports all the IP based service applications using the IP/MPLS domain. However, supporting service differentiation in multi-domain multilayer optical networks require the invention on routing scheme that supports both routing policies, the Physical Topology First (PTF) and Virtual Topology First (VTP), which are used to accommodate traffic in multilayer networks. In this work we use a hierarchical routing algorithm to evaluate the service differentiation schemes that are known in the literature in an IP/MPLS over ASON/GMPLS multi-domain network scenario, these service differentiation schemes are the Routing Policy Differentiation (RPD), Virtual Topology Differentiation (VTD) and Virtual Topology Sharing (VTS).

Exploring Impacts of Random Proactive Jamming Attack in Wireless Sensor Network

Ali Mohammed Hussen — Tue, 11 Feb 2020 07:44:25 +0000

Wireless Sensor networks are one of the most extensively used technologies in our day to day lives; they can provide communication without needing a fixed infrastructure, which makes them suitable for communication in disaster areas or when quick deployment is needed. However, this kinds of network technology uses the wireless medium for communication. It is vulnerable to malicious attacks. One of the most frequently used attacks is a random jamming attacks which is Denial of Service attack. Random Jamming attacks disturb the communication between Sink and legitimate nodes. In rough environments where there is constant traffic, Random jamming attack can cause serious problems. Because of this, a study of random jamming attacks and how to prevent them is necessary. In this research the random jamming attacks were simulated using Riverbed Modeler software, in order to provide a better understanding of effects of random jamming attacks. This study will be helpful for future research and development of a practical, effective way to avoid random jamming attacks. The objectives of this thesis were to simulate and analysis wireless sensor network (ZigBee) under random jamming attacks; launch different kinds of (fixed, mobile) random jamming attacks in order to test how much influence on performance of wireless sensor network. Riverbed Modeler Based simulation which have five scenarios were created and the simulation was run and the results were collected, which shows that the throughput of the wireless sensor network decrease and increase the delay ,data drop when the network is affected by the random Jammers. Finally, thesis describe the open issues in this field, such as adding more than one random jammer and sink in wireless sensor network.

International Journal of Computer (IJC)

Supporting Service Differentiation in Multi-domain Multilayer Optical Networks

Exploring Impacts of Random Proactive Jamming Attack in Wireless Sensor Network