PhD forum: Adaptive storage management in highly heterogeneous Smart Sensor systems

Future surveillance systems will be highly heterogeneous systems consisting of Smart Cameras mixed with many other types of Smart Sensors. Although the ongoing advances in computer architecture make way for performance improvements even in the smallest sensor nodes, their processing and communication capabilities will still differ from the computation power of Smart Cameras. Moreover, energy consumption is still a major concern of sensor networks. Even with highly developed batteries, reducing the energy consumption wherever possible remains a major task of system architects. Thus, it is an important design criteria for storage control algorithms. This work proposes an adaptive management system which optimizes the storage behaviour of heterogeneous sensor systems while preserving easiest accessibility of the data by the user.