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Sensors 2010, 10(9), 8375-8397; doi:10.3390/s100908375

Data Collection Framework for Energy Efficient Privacy Preservation in Wireless Sensor Networks Having Many-to-Many Structures

1,*  and 2
1 Turkish National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkey 2 Faculty of Engineering and Natural Sciences, Sabanc─▒ University, Orhanl─▒ - Tuzla, 34956 Istanbul, Turkey
* Author to whom correspondence should be addressed.
Received: 21 July 2010 / Revised: 3 August 2010 / Accepted: 3 August 2010 / Published: 8 September 2010
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Wireless sensor networks (WSNs) generally have a many-to-one structure so that event information flows from sensors to a unique sink. In recent WSN applications, many-to-many structures evolved due to the need for conveying collected event information to multiple sinks. Privacy preserved data collection models in the literature do not solve the problems of WSN applications in which network has multiple un-trusted sinks with different level of privacy requirements. This study proposes a data collection framework bases on k-anonymity for preventing record disclosure of collected event information in WSNs. Proposed method takes the anonymity requirements of multiple sinks into consideration by providing different levels of privacy for each destination sink. Attributes, which may identify an event owner, are generalized or encrypted in order to meet the different anonymity requirements of sinks at the same anonymized output. If the same output is formed, it can be multicasted to all sinks. The other trivial solution is to produce different anonymized outputs for each sink and send them to related sinks. Multicasting is an energy efficient data sending alternative for some sensor nodes. Since minimization of energy consumption is an important design criteria for WSNs, multicasting the same event information to multiple sinks reduces the energy consumption of overall network.
Keywords: privacy preserving data publishing; k-anonymity; wireless sensor networks privacy preserving data publishing; k-anonymity; wireless sensor networks
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Bahsi, H.; Levi, A. Data Collection Framework for Energy Efficient Privacy Preservation in Wireless Sensor Networks Having Many-to-Many Structures. Sensors 2010, 10, 8375-8397.

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