@conference {18490,
	title = {Topology Optimization of Wireless Localization Networks},
	booktitle = {European Wireless 2016 },
	year = {2016},
	month = {05/2016},
	address = {Oulu, Finland},
	abstract = {This paper addresses topology optimization problem for an ultra wide band (UWB) localization network, where trilateration is used to obtain the target position based on its distances from fixed and known anchors. Our goal is to minimize the number of anchors needed to localize a target, while keeping the localization uncertainty lower than a given threshold in an area of arbitrary shape with obstacles. Our propagation model accounts for the presence of line of sight (LOS) between nodes, while geometric dilution of precision (GDoP) is used to express the localization error introduced by trilateration. We propose two integer linear programming formulations to solve the problem. To handle the problems of large sizes, we use the greedy placement with pruning heuristic. We test our solutions through simulation and show that the integer linear programming is appropriate to handle reasonably sized problems, and the heuristic achieves the results, in terms of the number of anchors placed, within less
than 2\% of optimum on average.
},
	keywords = {localization network, propagation model, topology optimization, ultra wide band, wireless protocols, wireless sensor networks},
	author = {Bala{\'c}, Katarina and Akhmedov, Murodzhon and Prevostini, Mauro and Malek, Miroslaw}
}
@conference {16.1013323,
	title = {FSM{\textendash}based power modeling of wireless protocols: the case of bluetooth},
	booktitle = {ISLPED {\textquoteright}04: Proceedings of the 2004 international symposium on Low power electronics and design},
	year = {2004},
	pages = {369-374},
	publisher = {ACM Press, New York, USA},
	organization = {ACM Press, New York, USA},
	address = {Newport Beach, California, USA},
	abstract = {The proliferation of pervasive computing applications relying on battery-powered devices and wireless connectivity is posing great emphasis on the issue of power optimization. While node-level models and approaches have been widely discussed, a problem requiring even greater attention is that of power associated with the communication protocols. We propose a high-level modeling methodology based on Finite State Machines useful to predict the energy consumption of given communication tasks with very low computational cost, which can be applied to any protocol. We use this methodology to create a power model of Bluetooth that we characterize and validate experimentally on a real implementation.},
	keywords = {bluetooth, power modeling, wireless protocols},
	isbn = {1-58113-929-2},
	doi = {http://dx.doi.org/10.1109/LPE.2004.1349368},
	author = {Negri, Luca and Sami, Mariagiovanna and Macii, David and Terranegra, Alessandra}
}
