MOBICOM

We implemented the Prediction-by-Partial-Match data compression algorithm as a predictor of future locations. Positioning was done using IEEE 802.11 wireless access logs. Several experiments were run to determine how to divide the data for training and ...

Location-based services are mobile network applications of growing importance and variability. The space of location technologies and applications has not yet been fully explored, perhaps omitting some important practical uses.

In this work we present ...

A variety of mobile phone applications are on the rise, many of which utilize physical location to express the "context" of information. This paper argues that physical location alone, unless remarkably precise, may not be sufficient to express this ...

This paper describes a proposal for wireless communication system and mobile terminals, especially useful for location based service without using GPS receiver in the service area. The Global Positioning System (GPS) or gyroscope sensor (gyrocompass) ...

In this paper a solution for tracking of laboratory mice in an indoor semi natural environment based on RIFD-Technology is presented. A tracking framework is built where combined sensors identify and track the mice continuously 24 hours a day and 7 days ...

Ad hoc solutions for tracking and providing navigation support to emergency response teams is an important and safety-critical challenge. We propose a navigation system based on a combination of foot-mounted inertial sensors and ultrasound beacons. We ...

In this paper, we analyze and describe the achievable performance of a Wireless Sensor Network (WSN) testbed platform, which has been deployed at the Center of Excellence DEWS (University of L'Aquila, Italy) for positioning applications, and which is ...

This paper describes an algorithm to compute lists of people and devices that are physically nearby to a mobile user based on the analysis of signals from existing wireless networks. The system evaluates proximity by classifying the degree of similarity ...

Location is considered as the most important and relevant context information. Bluetooth technology, being a common feature of commercial mobile devices, is a (or the) key technology that is pervasively available nowadays. There has been not much ...

Redpin is a fingerprint-based indoor localization system designed and built to run on mobile phones. The basic principles of our system are based on known systems like Place Lab or Radar. However, with Redpin it is possible to consider the signal-...

We previously developed an analytical model in [8] to predict the precision and accuracy performance of indoor positioning systems using location fingerprints. A by-product of the model is the ability to eliminate unnecessary fingerprints to reduce the ...

As the era of ubiquitous computing approaches, there is a growing need for a reliable, efficient positioning and tracking system. Localization involves continuous determination and tracking of the location of assets and personnel. Localization using ...

Since the first days of location-based services, the reliable estimation of a user's position has been seen as one of the key prerequisites for their success. While satellite-based systems can deliver suitable results when the user is outdoors, another ...

Particle Filter (PF) techniques has been widely used in indoor localization systems. They are often used in conjunction with pattern matching based on Received Signal Strength Indication (RSSI) fingerprinting. Several variants of the particle filter ...

A large number of localization algorithms for wireless sensor networks (WSNs) are evaluated against the Cramer-Rao Bound (CRB) as an indicator of how good the algorithm performs. The CRB defines the lower bound on the precision of an unbiased ...

Received Signal Strength (RSS) data collected within a wireless network can be used to obtain either range estimates or connectivity information. Both approaches lead to localization schemes that require no additional hardware. It is not clear, however, ...

Many wireless sensor network applications require knowledge of node placement in order to make sense of sensor data in a spatial context. Networks of mobile sensors require position updates for navigation through the sensing region. The global ...

The objective of this work is to estimate the locations of Bluetooth enabled devices. Collecting received signal strength from a device may help with estimating its location. However, for indoor environments, the signal attenuation model becomes complex ...

The sensor tracking problem is an important problem studied in many different fields. But many of those studies use analysis or machine learning method rather than optimization method. Recently, several approaches have been proposed to solve the static ...

Since the last decade, Semidefinite programming (SDP) has found its important application in locating the ad hoc wireless sensor networks. By choosing proper decomposition and computation schemes, SDP has been shown very efficient to handle the ...

We investigate localization of a transmitting node using angle of arrival (AoA) measurements made at a geographically dispersed network of cooperating receivers with known locations. A low-complexity sequential algorithm for updating the source location ...

We present an algorithm enabling localization of moving wireless devices in an indoor setting. The method uses only RF signal strength and can be implemented without specialized hardware. The mobility of the users is modeled by learning a function ...

We study Semidefinite Programming, SDP, relaxations for Sensor Network Localization, SNL, with anchors and with noisy distance information. The main point of the paper is to view SNL as a (nearest) Euclidean Distance Matrix, EDM, completion problem and ...