This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a c...

This paper presents a sensor failure detection method based on the fusion of predicted and observed sensor data. The originality of our approach is the use of a Markov Chain to model the normal behavior of a sensor within the TBM framework. When fusion between predicted and observed data is done, three experts analyze conflict resulting from the fusion process and are able to detect an abnormal...

To enhance sensor capabilities, sensor data readings from different modalities must be fused. The main contribution of this paper is to present a sensor data fusion approach that can reduce Kinect(TM) sensor limitations. This approach involves combining laser with Kinect(TM) sensors. Sensor data is modelled in a 3D environment based on octrees using a probabilistic occupancy estimation. The Bay...