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Energy and utility optimization in wireless networks with random access
, Article 2007 IEEE International Conference on Communications, ICC'07, Glasgow, Scotland, 24 June 2007 through 28 June 2007 ; 2007 , Pages 3799-3804 ; 05361486 (ISSN); 1424403537 (ISBN); 9781424403530 (ISBN) ; Hossein Khalaj, B ; Sharif University of Technology
2007
Abstract
Energy consumption is a main issue of concern in wireless networks. Energy minimization increases the time that networks' nodes work properly without recharging or substituting batteries. Another criterion for network performance is data transmission rate which is usually quantified by a network utility function. There exists an inherent tradeoff between these criteria and enhancing one of them can deteriorate the other one. In this paper, we consider both Network Utility Maximization (NUM) and energy minimization in a bi-criterion optimization problem. The problem is formulated for Random Access (RA) Medium Access Control (MAC) for ad-hoc networks. First, we optimize performance of the MAC...
Power Optimization in Wireless Two-Way Relay Channel
, M.Sc. Thesis Sharif University of Technology ; Golestani, Jamaloddin (Supervisor) ; Omidi, Mohammadjavad (Co-Advisor)
Abstract
Technological developments in today’s world followed by the rapid rowth of energy consumption has given rise to global concerns about the environment. Hence, energy-efficiency is widely addressed in various areas of academic and industrial research. In communication technology too, energy-demanding systems such as wireless cellular networks have undergone immense and rapid developments, resulting in major concerns about their energy consumption.To address these concerns, the 4G generation of cellular standards provides an option for relay transmission in order to reduce the energy required for achieving a given communication rate in a certain area of coverage. In this thesis, we address the...
A new approach for multi-source data prediction in wireless sensor networks: Collaborative filtering
, Article 2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012 ; 2012 ; 9781467358293 (ISBN) ; Ashouri, M ; Gheibi, S ; Hemmatyar, A. M. A ; Sharif University of Technology
2012
Abstract
The prime shortcoming of Wireless Sensor Networks (WSNs) is their energy constraint. The main energy consumer in a sensor node is its radio transmitter. One of the most effective methods to reduce the data transmission rate is data prediction. By data prediction, the amount of transmitted data is reduced; which results in energy saving and the longevity of the network life. Environmental variations almost have similar effects on different sensor sources in a sensor device. So, considering the correlation between different sources reduces the noise impact and increases data prediction accuracy. In this paper, temporal and multi-source correlations are used, to reduce data transmission in...