Print Email Facebook Twitter Ranging energy optimization for robust sensor positioning based on semidefinite programming Title Ranging energy optimization for robust sensor positioning based on semidefinite programming Author Wang, T. Leus, G. Huang, L. Faculty Electrical Engineering, Mathematics and Computer Science Department Microelectronics & Computer Engineering Date 2009-11-17 Abstract Sensor positioning is an important task of location-aware wireless sensor networks. In most sensor positioning systems, sensors and beacons need to emit ranging signals to each other. Sensor ranging energy should be low to prolong system lifetime, but sufficiently high to fulfill prescribed accuracy requirements. This motivates us to investigate ranging energy optimization problems. We address ranging energy optimization for an unsynchronized positioning system, which features robust sensor positioning (RSP) in the sense that a specific accuracy requirement is fulfilled within a prescribed service area. We assume a line-of-sight (LOS) channel exists between the sensor and each beacon. The positioning is implemented by time-of-arrival (TOA) based two-way ranging between a sensor and beacons, followed by a location estimation at a central processing unit. To establish a dependency between positioning accuracy and ranging energy, we assume the adopted TOA and location estimators are unbiased and attain the associated Cramer-Rao bound. The accuracy requirement has the same form as the one defined by the Federal Communication Commission (FCC), and we present two constraints with linear-matrix-inequality form for the RSP. Ranging energy optimization problems, as well as a practical algorithm based on semidefinite programming are proposed. The effectiveness of the algorithm is illustrated by numerical experiments. Subject CramérRao boundlocalizationsemidefinite programmingwireless sensor networks To reference this document use: http://resolver.tudelft.nl/uuid:5c4b923a-06ed-48bf-96dc-1f1ede780b9d DOI https://doi.org/10.1109/TSP.2009.2028211 Publisher IEEE ISSN 1053-587X Source IEEE Transactions on Signal Processing, 57 (12), 2007 Part of collection Institutional Repository Document type journal article Rights (c) 2009 Wang, T.; Leus, G.; Huang, L.; IEEE Files PDF wang2009a.pdf 948.53 KB Close viewer /islandora/object/uuid:5c4b923a-06ed-48bf-96dc-1f1ede780b9d/datastream/OBJ/view