Abstract
Surveillance of personal locations with an untrusted system causes privacy breach/threats to the
individuals those who are monitored. At this point, we propose a quality-aware locality monitoring system
for wireless sensor networks. In this system, we outline a couple of in-network location algorithms such as
resource-aware and quality aware algorithms, aimed to provide high-end location monitoring services for
system users with outstanding quality, while protecting personal location privacy. Two techniques are
based on the well-established (K) anonymity privacy concept; i.e., a person is unique among (K)
individuals, to enable trusted sensor nodes to provide the average location information of monitored
objects of the system. Each compound location is a part of a surveyed area/ location (L) along with the
number of surveyed objects residing in (L), where (L) contains at least (K) persons. The resource aware
algorithm minimizes communication cost and computational cost, while the quality aware algorithm
maximizes the correctness of the aggregate location by lowering their monitored regions. To use the
location information, to provide location monitoring service, we use a spatial histogram method, which
calculates the distribution of the monitored objects created on the collected aggregate location
information. Then, the calculated distribution provides location monitoring services by answering a series
of questions. The system is evaluated through virtual experiments. The results indicate that this system
provides an excellent location monitoring services while ensuring location privacy of the monitored
persons.
Users
Please
log in to take part in the discussion (add own reviews or comments).