Optimal sensor hop selection: sensor energy minimization and network lifetime maximization with guaranteed system performance
2008 (English)In: Proceedings of the 47th IEEE Conference on Decision and Control Cancun, Mexico, Dec. 9-11, 2008, IEEE , 2008, 2344-2349 p.Conference paper (Refereed)
In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state estimate. It is shown that the optimal estimator over a sensor tree is given by a Kalman filter of certain structure. The number of hops that the sensors use to communicate data with the fusion center is optimized such that either the overall transmission energy is minimized or the network lifetime is maximized. In both cases the fusion center provides a specified level of estimation accuracy. Some heuristic algorithms are proposed which lead to suboptimal solutions in the energy minimization problem, while an algorithm that leads to the global optimal solution is proposed in the lifetime maximization problem. In both cases, the algorithms are shown to have low computational complexity. Examples are provided to demonstrate the theory and algorithms.
Place, publisher, year, edition, pages
IEEE , 2008. 2344-2349 p.
IdentifiersURN: urn:nbn:se:kth:diva-80701DOI: 10.1109/CDC.2008.4738663ScopusID: 2-s2.0-62949224841ISBN: 978-1-4244-3123-6OAI: oai:DiVA.org:kth-80701DiVA: diva2:496648
47th IEEE Conference on Decision and Control, CDC 2008; Cancun; 9 December 2008 through 11 December 2008
“© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
QC 201202142012-02-142012-02-102012-02-14Bibliographically approved