Smartphone Crowdsourcing and Data Sharing Towards Advancing User Experience and Mobile Services

Recent advances in IT have offered people the opportunity to have powerful ultramobile devices in their pockets incorporating a plethora of capabilities which, in most cases, require Internet connectivity. This constant need for Internet access though, especially when a wireless hotspot is unavailable requires connection via network data. The fixed cellular data packages offered by carriers usually do not come for free and to a large extend cannot be adapted to the dynamic needs of users who sometimes need more than they own, while in other cases under-use their network data.  This issue, in combination with the fact that signal quality in many areas is not even fair for one or more carriers has led to the development of a novel android application that aims at allowing users in general and tourists to “foresee” bad signal coverage at places of their interest, as well as to share their cellular data via mobile tethering.

[1]  Xinbing Wang,et al.  INDAPSON: An incentive data plan sharing system based on self-organizing network , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[2]  Paul J. M. Havinga,et al.  Symbiotic Sensing for Energy-Intensive Tasks in Large-Scale Mobile Sensing Applications , 2017, Sensors.

[3]  Pranowo,et al.  CAPTURE: A Mobile Based Indoor Positioning System using Wireless Indoor Positioning System , 2018, Int. J. Interact. Mob. Technol..

[4]  Bin Guo,et al.  From participatory sensing to Mobile Crowd Sensing , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

[5]  Matteo Gaeta,et al.  Collective Perception in Smart Tourism Destinations with Rough Sets , 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

[6]  Dirk Neumann,et al.  Social media analytics and value creation in urban smart tourism ecosystems , 2017, Inf. Manag..

[7]  Daren C. Brabham,et al.  Crowdsourcing applications for public health. , 2014, American journal of preventive medicine.

[8]  Constantinos Patsakis,et al.  Mapping the Wireless Coverage Grid for Carrier and User Recommendations through Crowdsourcing , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

[9]  M. Hansen,et al.  Participatory Sensing , 2019, Internet of Things.

[10]  Ian T. Foster,et al.  DYNAMO: Distributed Leisure Yacht-Carried Sensor-Network for Atmosphere and Marine Data Crowdsourcing Applications , 2018, 2018 IEEE International Conference on Cloud Engineering (IC2E).

[11]  Antti Ylä-Jääski,et al.  Utilize Signal Traces from Others? A Crowdsourcing Perspective of Energy Saving in Cellular Data Communication , 2015, IEEE Transactions on Mobile Computing.

[12]  Piera Buonincontri,et al.  The experience co-creation in smart tourism destinations: a multiple case analysis of European destinations , 2016, J. Inf. Technol. Tour..

[13]  Juan A. Recio-García,et al.  Madrid Live: A Context-Aware Recomendar System of Leisure Plans , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

[14]  Efthymios Alepis,et al.  HotSpotCrowd: A crowd sourced based application for sharing data between mobile devices , 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

[15]  Jian Tang,et al.  Sensing as a Service: Challenges, Solutions and Future Directions , 2013, IEEE Sensors Journal.

[16]  Fan Yang,et al.  A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks , 2017, IEEE Transactions on Mobile Computing.

[17]  Saraju P. Mohanty,et al.  iTour: The Future of Smart Tourism: An IoT Framework for the Independent Mobility of Tourists in Smart Cities , 2018, IEEE Consumer Electronics Magazine.

[18]  Fabio Martinelli,et al.  Stateful Data Usage Control for Android Mobile Devices , 2016, International Journal of Information Security.

[19]  Efthymios Alepis,et al.  MyCrowdCharger: Towards a crowd sourced based application for energy sharing between smartphones , 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

[20]  Emiliano Miluzzo,et al.  A survey of mobile phone sensing , 2010, IEEE Communications Magazine.

[21]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[22]  Maria Virvou,et al.  Mobile educational features in authoring tools for personalised tutoring , 2005, Comput. Educ..