Real-time positioning of a specific object in the big data environment can improve the monitoring and management capacity for network data. For the real-time positioning of the specific object, it is necessary to quickly search the network data representing a specific object and match its pattern strings and compare the corresponding Internet protocol (IP) address of the matched network data wi...

Over the past few years the concept of network-based positioning has been developed in support of longer baseline processing compared with 'traditional' single reference station positioning. In fact network-based positioning enables the generation of so-called ‘virtual measurements’ which can significantly improve positioning results. Even though the virtual measurements are generated from the ...

Ubiquitous positioning provides continuous positional information in both indoor and outdoor environments for a wide spectrum of location based service (LBS) applications. With the rapid development of the low-cost and high speed data communication, Wi-Fi networks in many metropolitan cities, strength of signals propagated from the Wi-Fi access points (APs) namely received signal strength (RSS)...

In this paper a Protocol for Location And Coordinates Estimation (PLACE) is presented as a distributed multihop positioning approach based on wireless sensor networks without relying on GPS data at each sensor node. It is suitable for military applications where GPS services are unavailable, instable, or unreliable. PLACE conducts the positioning task in three phases: distance estimating, posit...

In this study, Artificial Neural Network (ANN) is used to check the integrity of the Global Positioning Recommended Minimum (GPRMC) sentences. The GPRMC sentences are the most common sentences transmitted by the Global Positioning System (GPS) devices. This sentence contains nearly every thing a GPS application needs. The data integrity is compared on the basis of the classification accuracy an...

This paper describes an enhancement method for location tracking system based on Received Signal Strength Indicator (RSSI)values and Extended Kalman Filter (EKF). The enhancement is based on pre calibration of measurement vectors and individual position block usage in final estimation of the target's position. The EKF and the described enhancement methods are used on a standard Wireless Local A...

This study investigates dynamic inventory relocation to respond proactively the changing relief demand forecasts over time. In particular, we examine how relocate mobile optimally serve nonstationary stochastic at several potential disaster sites. We propose a model using programming (DP) and develop both analytical numerical results regarding optimal policies, minimum cost-to-go function, valu...