Sensor Network Deployment under Distance Uncertainty with Robust Optimization
نویسندگان
چکیده
منابع مشابه
Robust Wireless Sensor Network Deployment
In this work we present a decentralized deployment algorithm for wireless mobile sensor networks focused on deployment Efficiency, connectivity Maintenance and network Reparation (EMR). We assume that a group of mobile sensors is placed in the area of interest to be covered, without any prior knowledge of the environment. The goal of the algorithm is to maximize the covered area and cope with s...
متن کاملRobust optimization under multiband uncertainty
We provide an overview of the main results that we obtained studying uncertain mixed integer linear programs when the uncertainty is represented through the new multiband model [4]. Such model extends and refines the classical one proposed by Bertsimas and Sim [2] and is particularly suitable in the common case of arbitrary non-symmetric distributions of the uncertainty. Our investigations were...
متن کاملRobust MINLP Optimization Model for Petrochemical Network Design under Uncertainty
This paper addresses the strategic planning, design and optimization of a network of petrochemical processes under uncertainty and risk considerations. The problem was formulated as a two-stage stochastic mixed-integer nonlinear programming model (MINLP) with parameter uncertainty considered in process yield, raw material and product prices, and upper and lower product market demand. Risk was a...
متن کاملOptions for Robust Airfoil Optimization under Uncertainty
A robust optimization method is developed to overcome point-optimization at the sampled design points. This method combines the best features from several preliminary methods proposed by the authors and their colleagues. The robust airfoil shape optimization is a direct method for drag reduction over a given range of operating conditions and has three advantages: (1) it prevents severe degradat...
متن کاملRobust Combinatorial Optimization under Budgeted-Ellipsoidal Uncertainty∗
In the field of robust optimization uncertain data is modeled by uncertainty sets, i.e. sets which contain all relevant outcomes of the uncertain parameters. The complexity of the related robust problem depends strongly on the shape of the uncertainty set. Two popular classes of uncertainty are budgeted uncertainty and ellipsoidal uncertainty. In this paper we introduce a new uncertainty class ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Online and Biomedical Engineering (iJOE)
سال: 2015
ISSN: 2626-8493
DOI: 10.3991/ijoe.v11i9.5061