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Proactive Location Service in Mobility Management  [cached]
Yu Liu,Qiang Shen,Zhijun Zhao,Hui Tang
Journal of Networks , 2011, DOI: 10.4304/jnw.6.4.670-677
Abstract: This paper proposes a new proactive mobility management mechanism. Instead of traditional mobility management system that when a user wants to connect another it needs to lookup the current location of the called user from the remote home location register (HLR) of the called user, the proposed method provides a special proactive location service to the close friends, who satisfy certain characteristics, of a user. The proactive location service pushes the location information of a user to the current locations of its close friends and is cached there. By doing so, the location lookup of its close friends in calling process is localized resulting in lower lookup delay and signaling cost. The distinct relations between different user pairs are explored, which can be used to identify the close friend group from other friends of a user. The close relation is defined as a function of parameters of calling and mobility characteristics. These parameters are estimated adaptively which are used to update the close relation friends. System performance evaluation and analysis demonstrate that the proposed proactive mobility management mechanism can reduce location lookup delay and signaling cost significantly compared with the traditional mobility management scheme.
Effects of Levy Flights Mobility Pattern on Epidemic Spreading under Limited Energy Constraint  [PDF]
Yanqing Hu,Dan Luo,Xiaoke Xu,Zhangang Han,Zengru Di
Physics , 2010,
Abstract: Recently, many empirical studies uncovered that animal foraging, migration and human traveling obey Levy flights with an exponent around -2. Inspired by the deluge of H1N1 this year, in this paper, the effects of Levy flights' mobility pattern on epidemic spreading is studied from a network perspective. We construct a spatial weighted network which possesses Levy flight spatial property under a restriction of total energy. The energy restriction is represented by the limitation of total travel distance within a certain time period of an individual. We find that the exponent -2 is the epidemic threshold of SIS spreading dynamics. Moreover, at the threshold the speed of epidemics spreading is highest. The results are helpful for the understanding of the effect of mobility pattern on epidemic spreading.
Where Am I? Location Archetype Keyword Extraction from Urban Mobility Patterns  [PDF]
Vassilis Kostakos, Tomi Juntunen, Jorge Goncalves, Simo Hosio, Timo Ojala
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0063980
Abstract: Can online behaviour be used as a proxy for studying urban mobility? The increasing availability of digital mobility traces has provided new insights into collective human behaviour. Mobility datasets have been shown to be an accurate proxy for daily behaviour and social patterns, and behavioural data from Twitter has been used to predict real world phenomena such as cinema ticket sale volumes, stock prices, and disease outbreaks. In this paper we correlate city-scale urban traffic patterns with online search trends to uncover keywords describing the pedestrian traffic location. By analysing a 3-year mobility dataset we show that our approach, called Location Archetype Keyword Extraction (LAKE), is capable of uncovering semantically relevant keywords for describing a location. Our findings demonstrate an overarching relationship between online and offline collective behaviour, and allow for advancing analysis of community-level behaviour by using online search keywords as a practical behaviour proxy.
Exploring student difficulties with observation location  [PDF]
Jaime Bryant,Rita Dawod,Susan M. Fischer,Mary Bridget Kustusch
Physics , 2015,
Abstract: Throughout introductory physics, students create and interpret free body diagrams in which multiple forces act on an object, typically at a single location (the object's center of mass). The situation increases in difficulty when multiple objects are involved, and further when electric and magnetic fields are present. In the latter, sources of the fields are often identified as a set of electric charges or current-carrying wires, and students are asked to determine the electric or magnetic field at a separate location defined as the observation location. Previous research suggests students struggle with accounting for how a measurement or calculation depends on the observation location. We present preliminary results from a studio-style, algebra-based, introductory electricity and magnetism course showing the prevalence of correct and incorrect responses to questions about observation location by analyzing student written work involving vector addition of fields.
Exploring the Mobility of Mobile Phone Users  [PDF]
Balázs Cs. Csáji,Arnaud Browet,V. A. Traag,Jean-Charles Delvenne,Etienne Huens,Paul Van Dooren,Zbigniew Smoreda,Vincent D. Blondel
Computer Science , 2012, DOI: 10.1016/j.physa.2012.11.040
Abstract: Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often been analyzed independently from each other using mobile phone datasets. In this article, we explore the connections between various features of human behavior extracted from a large mobile phone dataset. Our observations are based on the analysis of communication data of 100000 anonymized and randomly chosen individuals in a dataset of communications in Portugal. We show that clustering and principal component analysis allow for a significant dimension reduction with limited loss of information. The most important features are related to geographical location. In particular, we observe that most people spend most of their time at only a few locations. With the help of clustering methods, we then robustly identify home and office locations and compare the results with official census data. Finally, we analyze the geographic spread of users' frequent locations and show that commuting distances can be reasonably well explained by a gravity model.
Location Recommendation on a Street Random Waypoint Mobility Model Based on Predictive Model
Journal of Wireless Networking and Communications , 2012, DOI: 10.5923/j.jwnc.20120205.08
Abstract: Mobile Ad-Hoc Network (MANET) is a collection of mobile nodes which form a temporary network through wireless devices – without requiring any existing infrastructure. In the real world, user’s behaviour is depended on many major factors such as weather, situation, location, date and time. While mobile nodes can move with diverse patterns, it is difficult to accurately predict the events henceforward. In this paper, we propose an intelligence location-based recommendation system to predict a new route destination prediction method based on the movement history. On the whole, the following steps outline the methodology of our studies: First, we collect the mobile user’s movement history. We begin by scrutinizing the characteristics of movement patterns all the way through mobility trace files obtained from GPS. Second, we demonstrate how prediction can be made using the mobility model parameters to investigate the influence of other parameter variations using Bayes' theorem. Third, we propose a recommendation system for adjusting the weight function adaptively. Finally, through a series of experiments, our proposed method aims to deliver performance in terms of accuracy and applicability under various system conditions.
Precise Location Acquisition of Mobility Data Using Cell ID  [PDF]
Shafqat Ali Shad,Enhong Chen
International Journal of Computer Science Issues , 2012,
Abstract: Cellular network data has become a hot source of study for extraction of user-mobility and spatio-temporal trends. Location binding in mobility data can be done through different methods like GPS, service provider assisted faux-GPS and Cell Global Identity (CGI). Among these Cell Global Identity is most inexpensive method and readily available solution for mobility extraction; however exact spatial extraction is somehow a problem in it. This paper presents the spatial extraction technique of mobile phone user raw data which carries the information like location information, proximity location and activity of subjects. This work mainly focuses on the data pre-processing methodology and technique to interpret the low level mobility data into high level mobility information using the designed clustering methodology and publically available Cell-IDs databases. Work proposed the semi- supervised strategy to derive the missing locations thorough the usage of semantic tag information and removal of spatial outliers for precise mobility profile building.
Precise Location Acquisition of Mobility Data Using Cell-id  [PDF]
Shafqat Ali Shad,Enhong Chen
Computer Science , 2012,
Abstract: This paper has been withdrawn by the authors. Cellular network data has become a hot source of study for extraction of user-mobility and spatio-temporal trends. Location binding in mobility data can be done through different methods like GPS, service provider assisted faux-GPS and Cell Global Identity (CGI). Among these Cell Global Identity is most inexpensive method and readily available solution for mobility extraction; however exact spatial extraction is somehow a problem in it. This paper presents the spatial extraction technique of mobile phone user raw data which carries the information like location information, proximity location and activity of subjects. This work mainly focuses on the data pre-processing methodology and technique to interpret the low level mobility data into high level mobility information using the designed clustering methodology and publically available Cell-IDs databases. Work proposed the semi- supervised strategy to derive the missing locations thorough the usage of semantic tag information and removal of spatial outliers for precise mobility profile building.
Mobility Strategies for Efficient Location Management In Mobile Information Systems
Dong Chun Lee,Byoung-Muk Min,Jung-Doo Koo
Asian Journal of Information Technology , 2012,
Abstract: We propose new mobility strategies in Mobile Information Systems (MIS): (1) Leaving Trace (LT) scheme, which effectively reduces mobility management cost. The basic idea is that putting the Visitor Location Register (VLR) ID of the Registration Area (RA) where the terminal currently resides into the registration-cancellation message, the trace of terminals is left in the VLRs visited, so that a call may be connected by querying to the VLRs rather than to the HLR when the terminal-terminated-call occurs. The LT method distributes messages to VLRs. (2) Multicasting Home Location Register (MHLR) method, which makes use of the call locality in the callee. When a call is established, MHLR records the caller`s VLR ID according to the callee. Periodically, MHLR ranks the VLRs and determine which VLRs frequently make calls to the callee. During a location registration process, MHLR sends the terminal`s location information to the determined VLRs and it can eliminate HLR queries from the call tracking. To estimate overall mobility management cost, we simulated the new methods of MIS. The simulation model is based on the Jackson’s network and makes it possible to estimate mobility management cost of MIS. The proposed methods effectively reduce mobility management cost more than the IS-41 method.
Mobility through Location-based Services at University
S. Martín,E. Sancristobal,R. Gil,M. Castro
International Journal of Interactive Mobile Technologies (iJIM) , 2008,
Abstract: Location tracking systems are becoming morerelevant in many new environments, due to the fact they thecore of context aware applications. This new concept canimprove the way universities provide services and a widenumber of companies do business. Inside university area,users location (both students, teachers and staff) gives rise toa new kind of services based on their profile and on the areain which the user is in each moment, allowing apersonalization of the offered contents. The present papershows how location-based applications can be developed formobile devices through a middleware that allows differentlocation methods, such as Wi-Fi and RFID. Finally somelocation-based applications are given showing possibleexamples in different environments.
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