Concurrent online tracking of mobile users

Author(s):  
Baruch Awerbuch ◽  
David Peleg
Keyword(s):  
1995 ◽  
Vol 42 (5) ◽  
pp. 1021-1058 ◽  
Author(s):  
Baruch Awerbuch ◽  
David Peleg
Keyword(s):  

1991 ◽  
Vol 21 (4) ◽  
pp. 221-233 ◽  
Author(s):  
Baruch Awerbuch ◽  
David Peleg
Keyword(s):  

2020 ◽  
Author(s):  
Sabrina F. Loureiro ◽  
Kim M. Pulvers ◽  
Melissa M. Gosdin ◽  
Keavagh R. Clift ◽  
Myra J. Rice ◽  
...  

BACKGROUND College campuses in the United States have begun implementing Smoke and Tobacco-Free policies to discourage the use of tobacco. Smoke and Tobacco-Free policies, however, are contingent upon effective policy enforcement. OBJECTIVE To develop an empirically-derived online tracking tool (Tracker) for crowdsourcing campus environmental reports of tobacco use and waste to support smoke and tobacco-free college policies. METHODS An exploratory sequential mixed methods approach was utilized to inform the development and evaluation of the Tracker. In October 2018, three focus groups across two California universities were conducted and themes were analyzed, guiding Tracker development. After one year of implementation, users were asked in April 2020 to complete a survey about their experience. RESULTS In the focus groups, two major themes emerged: barriers and facilitators to tool utilization. Further Tracker development was guided by focus group input to address these barriers (e.g. information, policing, and logistical concerns) and facilitators (e.g. environmental motivators, positive reinforcement). Amongst 1,163 Tracker reports, those who completed the user survey (n=316) reported the top motivations to using the tool were having a cleaner environment (79%) and health concerns (69%). CONCLUSIONS Environmental concerns, a motivator which emerged in focus groups, shaped the Tracker’s development and was cited by the majority of users surveyed as a top motivator for utilization.


Author(s):  
Maaz Sirkhot ◽  
Ekta Sirwani ◽  
Aishwarya Kourani ◽  
Akshit Batheja ◽  
Kajal Jethanand Jewani

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.


2020 ◽  
Vol 10 (5) ◽  
pp. 1557
Author(s):  
Weijia Feng ◽  
Xiaohui Li

Ultra-dense and highly heterogeneous network (HetNet) deployments make the allocation of limited wireless resources among ubiquitous Internet of Things (IoT) devices an unprecedented challenge in 5G and beyond (B5G) networks. The interactions among mobile users and HetNets remain to be analyzed, where mobile users choose optimal networks to access and the HetNets adopt proper methods for allocating their own network resource. Existing works always need complete information among mobile users and HetNets. However, it is not practical in a realistic situation where important individual information is protected and will not be public to others. This paper proposes a distributed pricing and resource allocation scheme based on a Stackelberg game with incomplete information. The proposed model proves to be more practical by solving the problem that important information of either mobile users or HetNets is difficult to acquire during the resource allocation process. Considering the unknowability of channel gain information, the follower game among users is modeled as an incomplete information game, and channel gain is regarded as the type of each player. Given the pricing strategies of networks, users will adjust their bandwidth requesting strategies to maximize their expected utility. While based on the sub-equilibrium obtained in the follower game, networks will correspondingly update their pricing strategies to be optimal. The existence and uniqueness of Bayesian Nash equilibrium is proved. A probabilistic prediction method realizes the feasibility of the incomplete information game, and a reverse deduction method is utilized to obtain the game equilibrium. Simulation results show the superior performance of the proposed method.


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