Abstract
<p><strong>Abstract—</strong>Due to complex monitoring systems in various business domains, secrecy and privacy has become critical issue for movable resources including human being. In a mobile object monitoring systems, balancing computing resources and quality of privacy is required. Objects can be mobile devices or users or any other moving entity. This work is presented in wireless sensor network environment. Earlier work does not consider presence of mobile objects in 3D space. We can observe that objects also carry Z axis in city area where high rise buildings are present. Earlier monitoring applications are mainly designed in two dimensional space to protect privacy. Our novelty is to suggest and design mechanism that reflect Z position (height) of mobile objects for protecting privacy. While calculating cloaking area and counting of objects, height is also considered as third dimension. This results in better location privacy as compared to the privacy delivered by the scheme that considers two dimensional space. We have presented performance, communications cost and privacy strength of modified 3D quality algorithm and 3D resource algorithm. Moreover, we present novel containment resolution algorithm that handles duplicate counting due to 3D presence of wireless system and mobile devices.</p>
Highlights
Monitoring information parameters such as mobility, location of living and non-living entities is required to utilize the resources efficiently
K-Failures go on decreasing from sparse to dense environment
Containment goes on decreasing from sparse to dense environment it shows zero containment in dense environment
Summary
Monitoring information parameters such as mobility, location of living and non-living entities is required to utilize the resources efficiently. A 3D privacy protection mechanism is suggested to preserve the privacy of users in a multi floor-multi block building This technique considers Z co-ordinate in spatial positioning, which results in high privacy as compared to privacy offered in 2D, spatial positioning environment. Experimental environment offers and delivers high value of privacy in a location supervision applications for mobile users, while preserving individual’s location privacy. Several applications of WSNs include hostile applications, environmental applications (e.g. water levels at particular locations etc.), healthcare applications (e.g. patient fitness supervising), counting peoples at hospitals, offices, heritage sites etc These WSN applications in many cases use personal location information, for example location based payment systems. Last section summarizes this paper with future scope
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