Energy Efficient Secure & Privacy Preserving Data Aggregation for WSNs

Irfana Memon

Abstract


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.

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References


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I. Howitt, R. Neto, J. Wang, and J. M.Cornard, "Extend Energy Model for the Low Rate WPAN", MASS'05. Dr. Irfana Memon pursued PhD degree specialized in “energy efficient secure and privacy data collection and data aggregation in wireless sensor networks” in Computers systems from Aix-Marseille Université, France. I received Master Research (Master recherche Informatique) degree in telecommunications network and services from INSA (Institute National des Sciences Appliquées), Lyon, France in 2009. I have done Bachelor of Engineering (B.E) in Computer Systems engineering (CSE) from Quaid-e-Awam University of Engineering, Sciences and Technology, Nawabshah, Sindh, Pakistan. I am actively engaged in graduate and undergraduate teaching and research with special interest in Wireless and Mobile communication, Data structures and algorithm, data base management, C++ programming language, Wireless sensor networks simulators.






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