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Surveillance of personal locations with an untrusted system causes privacy breach/threats to the individuals those who are monitored. At this point, the authors propose a quality-aware locality monitoring system for wireless sensor networks. In this system, they 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.
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