4,134 research outputs found
Self-Evaluation Applied Mathematics 2003-2008 University of Twente
This report contains the self-study for the research assessment of the Department of Applied Mathematics (AM) of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente (UT). The report provides the information for the Research Assessment Committee for Applied Mathematics, dealing with mathematical sciences at the three universities of technology in the Netherlands. It describes the state of affairs pertaining to the period 1 January 2003 to 31 December 2008
A survey of machine learning techniques applied to self organizing cellular networks
In this paper, a survey of the literature of the past fifteen years involving Machine Learning (ML) algorithms applied to self organizing cellular networks is performed. In order for future networks to overcome the current limitations and address the issues of current cellular systems, it is clear that more intelligence needs to be deployed, so that a fully autonomous and flexible network can be enabled. This paper focuses on the learning perspective of Self Organizing Networks (SON) solutions and provides, not only an overview of the most common ML techniques encountered in cellular networks, but also manages to classify each paper in terms of its learning solution, while also giving some examples. The authors also classify each paper in terms of its self-organizing use-case and discuss how each proposed solution performed. In addition, a comparison between the most commonly found ML algorithms in terms of certain SON metrics is performed and general guidelines on when to choose each ML algorithm for each SON function are proposed. Lastly, this work also provides future research directions and new paradigms that the use of more robust and intelligent algorithms, together with data gathered by operators, can bring to the cellular networks domain and fully enable the concept of SON in the near future
Energy Efficient Location Aided Routing Protocol for Wireless MANETs
A Mobile Ad-Hoc Network (MANET) is a collection of wireless mobile nodes
forming a temporary network without using any centralized access point,
infrastructure, or centralized administration. In this paper we introduce an
Energy Efficient Location Aided Routing (EELAR) Protocol for MANETs that is
based on the Location Aided Routing (LAR). EELAR makes significant reduction in
the energy consumption of the mobile nodes batteries by limiting the area of
discovering a new route to a smaller zone. Thus, control packets overhead is
significantly reduced. In EELAR a reference wireless base station is used and
the network's circular area centered at the base station is divided into six
equal sub-areas. At route discovery instead of flooding control packets to the
whole network area, they are flooded to only the sub-area of the destination
mobile node. The base station stores locations of the mobile nodes in a
position table. To show the efficiency of the proposed protocol we present
simulations using NS-2. Simulation results show that EELAR protocol makes an
improvement in control packet overhead and delivery ratio compared to AODV,
LAR, and DSR protocols.Comment: 9 Pages IEEE format, International Journal of Computer Science and
Information Security, IJCSIS 2009, ISSN 1947 5500, Impact factor 0.423,
http://sites.google.com/site/ijcsis
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