The importance of state estimation in fluid mechanics is well-established; it required for accomplishing several tasks including design/optimization, active control, and future prediction. A common tactic this regards to rely on reduced order models. Such approaches, general, use measurement data one-time instance. However, oftentimes available from sensors sequential ignoring results informati...

We consider the challenging problem of tracking multiple objects using a distributed network sensors. In practical setting nodes with limited field views (FoVs), computing power and communication resources, we develop novel multi-object algorithm. To accomplish this, first formalise concept label consistency, determine sufficient condition to achieve it \textit{label consensus approach} that re...

A sensor network is made up of a large number of sensors with limited energy. Sensors collect environmental data then send them to the sink. Energy efficiency and thereby increasing the lifetime of sensor networks is important. Direct transfer of the data from each node to the central station will increase energy consumption. Previous research has shown that the organization of nodes in cluster...

Wireless sensor network a powerful network contains many wireless sensors with limited power resource, data processing, and transmission abilities. Wireless sensor capabilities including computational capacity, radio power, and memory capabilities are much limited. Moreover, to design a hierarchy topology, in addition to energy optimization, find an optimum clusters number and best location of ...

Accuracy of inertial navigation system (INS) is limited by inertial sensors imperfections. Before using inertial sensors signals in the data fusion algorithm, noise removal method should be performed, in which, wavelet decomposition method is used. In this method the raw data is decomposed into high and low frequency data sets. In this study, wavelet multi-level resolution analysis (WMRA) techn...

In this paper, we propose and analyze policies for what we call the Persistent Patrol and Detection Problem (PPDP), in which an unmanned aerial vehicle (UAV) with limited sensing capability patrols a planar region, in order to detect stochastic spatially localized incidents. Incidents occur according to a renewal process with known time intensity and spatial distribution. The goal is to minimiz...

We consider a multi-target detection problem over a sensor network (SNET) with limited range sensors and communication constraints. This problem complements the widely considered decentralized detection problem where all sensors observe the same target. While the necessity for global collaboration is clear in the decentralized detection problem, the benefits of collaboration with limited range ...