In this paper, we study the minimum power multicasting problem where the transmission power required for one network terminal to transmit to another is subject to uncertainty. We present our algorithmic approach which executes a classical mixed integer linear programming approach on the problem and then executes algorithmic procedures on the solution to improve its robustness. We then show our experimental procedures which test our approach on different levels of uncertainty and study the trade-off provided by the approach between solution cost and robustness. We also mathematically verify the correctness of the sampling method used in the experiments
For wireless network systems, iterative power control algorithms have been proposed to minimize the ...
Abstract- The proposal of this paper presents a measurement-based routing algorithm to load balance ...
Shared incumbent environment is a new approachwhere a mixed integer linear programming solverand a m...
In this paper, we study the minimum power multicasting problem where the transmission power required...
In this paper we study the minimum power multicasting problem in wireless sensor networks, where the...
In this paper we describe some results on the linear integer programming formulation of the Probabil...
In this paper we describe some results on the linear integer programming formulation of the Probabil...
In this paper we describe some results on the linear integer programming formulation of the Probabil...
In this paper we deal with a probabilistic extension of the minimum power multicast (MPM) problem fo...
In this paper we deal with a probabilistic extension of the minimum power multicast (MPM) problem fo...
This paper develops algorithms to ensure that agents of a mobile micro autonomous system (MMAS) main...
The minimum power multicast (MPM) problem is a well-known optimization problem in wireless networks....
We design transmission strategies for MAC layer multicast which maximize the utilization of availabl...
Abstract — In this paper we apply robust optimization techniques to the problem of power control in ...
In this thesis, we study robustness concepts of mathematical optimisation and apply these to wireles...
For wireless network systems, iterative power control algorithms have been proposed to minimize the ...
Abstract- The proposal of this paper presents a measurement-based routing algorithm to load balance ...
Shared incumbent environment is a new approachwhere a mixed integer linear programming solverand a m...
In this paper, we study the minimum power multicasting problem where the transmission power required...
In this paper we study the minimum power multicasting problem in wireless sensor networks, where the...
In this paper we describe some results on the linear integer programming formulation of the Probabil...
In this paper we describe some results on the linear integer programming formulation of the Probabil...
In this paper we describe some results on the linear integer programming formulation of the Probabil...
In this paper we deal with a probabilistic extension of the minimum power multicast (MPM) problem fo...
In this paper we deal with a probabilistic extension of the minimum power multicast (MPM) problem fo...
This paper develops algorithms to ensure that agents of a mobile micro autonomous system (MMAS) main...
The minimum power multicast (MPM) problem is a well-known optimization problem in wireless networks....
We design transmission strategies for MAC layer multicast which maximize the utilization of availabl...
Abstract — In this paper we apply robust optimization techniques to the problem of power control in ...
In this thesis, we study robustness concepts of mathematical optimisation and apply these to wireles...
For wireless network systems, iterative power control algorithms have been proposed to minimize the ...
Abstract- The proposal of this paper presents a measurement-based routing algorithm to load balance ...
Shared incumbent environment is a new approachwhere a mixed integer linear programming solverand a m...