  Sensor network virtualization enables the possibility of sharing common
physical resources to multiple stakeholder applications. This paper focuses on
addressing the dynamic adaptation of already assigned virtual sensor network
resources to respond to time varying application demands. We propose an
optimization framework that dynamically allocate applications into sensor nodes
while accounting for the characteristics and limitations of the wireless sensor
environment. It takes also into account the additional energy consumption
related to activating new nodes and/or moving already active applications.
Different objective functions related to the available energy in the nodes are
analyzed. The proposed framework is evaluated by simulation considering
realistic parameters from actual sensor nodes and deployed applications to
assess the efficiency of the proposals.
