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The aim of this research work is to enhance wireless sensor network life time via reducing communication overhead. Sensor nodes have limited resources specially energy resource which is difficult or impossible to change/replace. As communication is by far the most energy consuming aspect in WSNs, one of the main goals to save energy is therefore to reduce communication overhead. Data aggregation techniques reduce number of transmitted messages and enhance WSNs lifetime. In many WSNs applications, data aggregation while preserving data security and privacy becomes hot issue because of the personal data. In the paper, we present an approach to aggregate data in energy efficient and secure manner for WSNs, which is called Energy efficient Secure & Privacy Preserving data Aggregation for WSNs (ESPPA). The technique “slicing and mixing’’, is implemented to provide privacy. To show the superiority of our proposed ESPPA scheme, we compare it with an existing “slicing and mixing" based scheme (i.e., SMART (Slice-Mix-AggRegaTe) scheme). Through simulation results, we demonstrate that our presented approach ESPPA scheme effectively preserve data privacy, and has significantly less communication overhead than the SMART.

Irfana Memon. (2015) Energy Efficient Secure & Privacy Preserving Data Aggregation for WSNs, Pakistan Journal of Engineering and Applied Sciences, VOLUME 16, Issue 1.
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