Data networks
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Multiple-Access Insights from Bounds on Sensor Localization
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Sleep/Active Schedules as a tunable characteristic of a Wireless Sensor Network
ICNS '06 Proceedings of the International conference on Networking and Services
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Analytic alpha-stable noise modeling in a Poisson field ofinterferers or scatterers
IEEE Transactions on Signal Processing
IEEE Communications Magazine
Optimum transmission ranges in a direct-sequence spread-spectrum multihop packet radio network
IEEE Journal on Selected Areas in Communications
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint
INFOCOM'10 Proceedings of the 29th conference on Information communications
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
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In ad hoc location-aware sensor networks, unlocalized sensors can estimate their locations based on the triangulation of range measurements from location-aware sensors or ''anchors'', whose locations are known or estimated a priori. In this paper, we investigate the relationship between multiple-access design parameters and the accuracy of location estimation in ad hoc sensor networks. Bounds on the average localization accuracy in a packet-based sensor network with time-of-arrival (TOA) based distance estimation are used to investigate the connection between the average effective throughput of packets and the average localization accuracy. On this basis, we (i) develop an analytical framework that allows us to analyze the relationship between network parameters and the average localization accuracy obtained in ad hoc sensor networks with a spread-spectrum physical layer, and (ii) show that, for such networks, minimizing the average localization error is equivalent to maximizing the average effective throughput. We further demonstrate that the developed framework allows the extraction of the optimal network parameters that maximize localization accuracy. The trends in the localization accuracy with respect to the network parameters observed through analysis are then validated via simulation studies. Finally, some aspects of the modeling of location-aware sensor networks that warrant investigation and require more sophisticated modeling strategies are listed.