Partner:UMA, Projects:NESSoS,ARES,SPRINT, citations: 7

The source-location privacy problem in Wireless Sensor Networks has   been traditionally tackled by the creation of random routes for every   packet transmitted from the source nodes to the base station. These   schemes provide a considerable protection level at a high cost in   terms of message delivery time and energy consumption. This overhead   is due to the fact that the data routing process is done in a blind   way, without knowledge about the location of the attacker. In this   work we propose the Context-Aware Location Privacy (CALP) approach,   which takes advantage of the ability of sensor nodes to perceive   the presence of a mobile adversary in their vicinity in order to   transmit data packets in a more energy-efficient and privacy-preserving   manner. In particular, we apply the concepts of CALP to the development   of a shortest-path CALP routing algorithm. A permissive and a strict   version of the protocol are studied for different adversarial models   and the proposed schemes are evaluated through simulation experiments   in terms of privacy protection and energy consumption. Finally, we   present the conclusions of the paper as well as possible extensions   of this work.