The proposed architecture reduces the on-chip memory requirement by sharing pixel-level memory in the sensor array with the digital image processor.
Due to the small structure of the processor, the memory of the sensor nodes forming the wireless sensor networks, and as they are operated by a battery, the most important problem appears to be the energy issue.
This anchors the nodes of the long-term memory in the sensor space, allowing for an easy biasing of visual routines in these spaces.
This solution when compared with the previous solutions necessitates less amount of memory in the sensors because each sensor does not store a key with all the other sensors.
The design of WMSN routing concerns energy constrains, limited computing power, and memory availability of the sensor nodes.
In other words, the proposed scheme reduces the number of keys required for a secure communication, thereby affecting the memory consumption of the sensor node.
The application of the finite memory observer to the sensor fault detection problem is illustrated by a numerical example.
Due to the limited capacity of shared wireless medium and memory restrictions of the sensor nodes, channel contention and network congestion can be experienced during the operation of the network.
Calibration system enables digital temperature compensation by acquisition of calibration points, calculation of sensor polynomial coefficients and storing the calculated data in the sensor memory.
The resulting values of the XCP variables are stored in a lookup table in the sensor memory (for each resolution cell), which remain valid for the given location as long as the quality measures for each sensor have not changed from the last run of the optimization algorithm.
