Millimeter-wave networks have the potential to supplement fiber in providing high-speed Internet access, as well as backhaul for emerging mobile 3G and 4G services. However, due to the high frequency of operation (70–90 GHz), such networks are highly susceptible to attenuation from rain. In this paper, we present several mechanisms to overcome the disruptive effects of rain storms on network co...

The Internet has become essential to all aspects of modern life, and thus the consequences of network disruption have become increasingly severe. It is widely recognised that the Internet is not sufficiently resilient, survivable, and dependable, and that significant research, development, and engineering is necessary to improve the situation. This paper provides an architectural framework for ...

Within forest growth modeling LOGIT models are used to predict individual tree mortality. In this paper we present, Multi-Layer Perceptron, Learning Vector Quantization and Cascade Correlation networks as different formalisms for mortality predictions. The data set for parameterizing the LOGIT model and training the different neural network types comes from the Austrian National Forest Inventor...

This paper presents a secure alternate path routing in sensor networks. Our alternate path scheme makes the routing protocol resilient in the presence of malicious nodes that launch selective forwarding attacks. SeRINS (a Secure alternate path Routing IN Sensor networks) detects and isolates the compromised nodes, which try to inject inconsistent routing information, from the network by neighbo...

Nowadays, more and more multimedia applications integrate wireless transmission functionalities. Wireless networks are suitable for those types of applications, due to their ease of deployment and because they yield tremendous advantages in terms of mobility of User Equipment (UE). However, wireless networks are subject to a high level of transmission errors because they rely on radio waves who...

Artificial neural networks are applied in many situations. neuralnet is built to train multi-layer perceptrons in the context of regression analyses, i.e. to approximate functional relationships between covariates and response variables. Thus, neural networks are used as extensions of generalized linear models. neuralnet is a very flexible package. The backpropagation algorithm and three versio...

Wireless sensor networks (WSNs) are prone to failures and malicious attacks. Traditional approaches from encryption and authentication are not sufficient to solve the problems. Trust management of WSNs is bringing new approaches. However, it is still a challenge to establish a trust environment for WSNs. To conquer that challenge, we propose a resilient trust model with a focus on data integrit...