Privacy Models on Location Hiding and Security Observations in Local Area WSN

Recent developments in wireless sensor networks have made it possible to monitor multiple floors of a building without compromising the security of the monitored objects. This algorithm produces random locations depending on the quantity and quality of the available resources. Customers can rest assured that their location is being tracked precisely and anonymously using this way. When it comes to protecting the privacy of the monitored objects, both systems employ the principle of k-anonymity. After the nodes have received information about confinement, they can relay a summary of the whereabouts of those under surveillance to a server. There must be at least k people living in an aggregate site if a two-dimensional monitored region displays the total population of the site. The 2D resource-aware strategy could be a viable option if we're looking to reduce communication and processing costs while improving location accuracy. Using a two-dimensional spatial histogram, the number of people dispersed throughout a multi-part, single-story building is calculated. Positioning systems use a probability distribution to infer answers to questions about proximity.