Location Privacy and Energy Preservation in Sensor Allocation Systems

We propose sensor-to-task assignments algorithms that take into account location privacy issues. Our solutions enable the network to choose the “best” assignment of the available sensors to the tasks to maximize the utility of the network while preserving sensors’ location privacy. We focus on prese...

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Main Author: Hosam Rowaihy
Format: Article
Language:English
Published: Wiley 2012-08-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2012/197592
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author Hosam Rowaihy
author_facet Hosam Rowaihy
author_sort Hosam Rowaihy
collection DOAJ
description We propose sensor-to-task assignments algorithms that take into account location privacy issues. Our solutions enable the network to choose the “best” assignment of the available sensors to the tasks to maximize the utility of the network while preserving sensors’ location privacy. We focus on preserving the sensors’ locations during the assignment process in contrast to previous works, which considered location privacy while sensors are in operation. We also propose an energy-based algorithm that uses the remaining energy of a sensor as a factor to scale the distance between a sensor and a task such that sensors that have more energy appear to be closer than ones with less energy left. This does not only provide location privacy but will also consume the sensing resources more evenly, which leads to extending the lifetime of the network. From our simulations, we found that our algorithms can successfully hide sensors’ locations while providing performance close to the algorithms, which use the exact locations. In addition, our energy-based algorithm, while achieving results close to the exact location algorithm, was found to increase the network lifetime by as much as 40%.
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institution Kabale University
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spelling doaj-art-97be8060cbc84d139695cdd183fc97272025-02-03T06:42:58ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-08-01810.1155/2012/197592Location Privacy and Energy Preservation in Sensor Allocation SystemsHosam RowaihyWe propose sensor-to-task assignments algorithms that take into account location privacy issues. Our solutions enable the network to choose the “best” assignment of the available sensors to the tasks to maximize the utility of the network while preserving sensors’ location privacy. We focus on preserving the sensors’ locations during the assignment process in contrast to previous works, which considered location privacy while sensors are in operation. We also propose an energy-based algorithm that uses the remaining energy of a sensor as a factor to scale the distance between a sensor and a task such that sensors that have more energy appear to be closer than ones with less energy left. This does not only provide location privacy but will also consume the sensing resources more evenly, which leads to extending the lifetime of the network. From our simulations, we found that our algorithms can successfully hide sensors’ locations while providing performance close to the algorithms, which use the exact locations. In addition, our energy-based algorithm, while achieving results close to the exact location algorithm, was found to increase the network lifetime by as much as 40%.https://doi.org/10.1155/2012/197592
spellingShingle Hosam Rowaihy
Location Privacy and Energy Preservation in Sensor Allocation Systems
International Journal of Distributed Sensor Networks
title Location Privacy and Energy Preservation in Sensor Allocation Systems
title_full Location Privacy and Energy Preservation in Sensor Allocation Systems
title_fullStr Location Privacy and Energy Preservation in Sensor Allocation Systems
title_full_unstemmed Location Privacy and Energy Preservation in Sensor Allocation Systems
title_short Location Privacy and Energy Preservation in Sensor Allocation Systems
title_sort location privacy and energy preservation in sensor allocation systems
url https://doi.org/10.1155/2012/197592
work_keys_str_mv AT hosamrowaihy locationprivacyandenergypreservationinsensorallocationsystems