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Distributed data fusion application in Wireless Sensor Networks is very promising, because the change from centralized model to distributed model will average the computation of data fusion algorithm consequently average power consumption in sink node and more importantly placement data fusion functions in networks will decrease data transmission cost and sink node can easily and efficiently re-task...
A critical aspect of the sensor surveillance systems is the network lifetime. Sensors are often battery-powered and they have limited energy constraint. Therefore, it is crucial to extend the network lifetime. However, most existing schemes which extend the lifetime of sensor surveillance systems are based on simplistic sensing models (e.g., the disc model) which do not capture the signal attenuation...
Multi-sensor was needed while using data fusion technique in wireless sensor networks. A data fusion algorithm of single sensor was proposed in the paper. With recursive least square method in the algorithm, the dynamic model of sensor was built up, and the achievement of data fusion between sensor's measure value and estimate value increased the measure precision. Simulation results show that the...
Mobile agents (MAs) have been initially developed to replace the client/server model which shows many disadvantages in WSN environments (e.g. very high bandwidth and energy utilization). Herein, we present CBID (Clone-Based Itinerary Design), a novel algorithm that calculates near-optimal routes for MAs that incrementally fuse the data as they visit the nodes while enabling a fast update of designed...
For target tracking in Interference Environments of cognitive radar problem, Extended Karman, Particle filter algorithms etc. are generally used to be regarded as usual solutions to state estimation. Many techniques have been developed to improve performance of target tracking. In this paper, we set the structure and key features of target's tracking design for cognitive radar, and newly propose cognitive...
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