LOCALIZING TRANSCEIVER-FREE OBJECTS: THE RF-BASED APPROACHES

PhD Thesis Proposal Defence


Title: "LOCALIZING TRANSCEIVER-FREE OBJECTS: THE RF-BASED APPROACHES"

by

Miss Dian ZHANG


Abstract:

Traditional radio-based localization technologies all require the target
object to carry a transmitter (e.g., active RFID), a receiver (e.g.,
802.11x detector), or a transceiver (e.g., sensor node). In practice,
however, such requirements can not be satisfied in many applications, such
as security and surveillance, intrusion detection, outdoor asset
protection, and location-aware applications. In this proposal, I propose a
new localization scheme called transceiver-free localization. The basic
idea of transceiver-free localization is to utilize the change of wireless
signals of different wireless links to locate the target object. I prove
that the object detection behavior of each wireless link can be described
by Signal Dynamic Model and T-R model. The former one is a deterministic
model and the later one is a probabilistic model. T-R model presents many
unique features and new requirements, calling a revisit for most of
coverage problems. Moreover, in order to serve different requirements, I
propose five localization algorithms called Midpoint, Intersection,
Best-cover, Dynamic Clustering and RASS. The former three are centralized
algorithms, while Dynamic Clustering is a distributed algorithm. Dynamic
Clustering and RASS are able to locate multiple objects. I prove that the
tracking latency of RASS is bounded by only about 0.26s without
sacrificing the accuracy and scalability. Preliminary experimental results
show that these algorithms can have remarkable high accuracy up to 0.85m.


Date:     		Monday, 7 December 2009

Time:                   3:30pm - 5:30pm

Venue:                  Room 4480
 			Lifts 25/26

Committee Members:      Prof. Lionel Ni (Supervisor)
 			Dr. Qiong Luo (Chairperson)
 			Dr. Lei Chen
 			Dr. Qian Zhang


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