Opportunistic Mobile Sensor Data Collection with SCAR
Sensors are now embedded in all sorts of devices (such as phones and
PDAs) and attached to many moving things such as robots, vehicles and
animals. The collection of data from these mobile sensors presents
challenges related to the variability of the topology of the sensor
network and the need to limit communication (for energy or bandwidth
saving). Fortunately, the data collected, despite considerable, is
often delay tolerant and its delivery to the sinks is, in most cases,
not time critical.
We have devised SCAR, a context aware opportunistic routing protocol
which allows efficient routing of sensor data to sinks, through
selection of best paths by prediction over movement patterns and
current battery level of nodes. SCAR has been implemented in Contiki
and validated through the use of the COOJA simulator with mobility
traces provided by the ZebraNet Project.