6 research outputs found
Adopting incentive mechanisms for large-scale participation in mobile crowdsensing: from literature review to a conceptual framework
Mobile crowdsensing is a burgeoning concept that allows smart cities to leverage the sensing power and ubiquitous nature of mobile devices in order to capture and map phenomena of common interest. At the core of any successful mobile crowdsensing application is active user participation, without which the system is of no value in sensing the phenomenon of interest. A major challenge militating against widespread use and adoption of mobile crowdsensing applications is the issue of how to identify the most appropriate incentive mechanism for adequately and efficiently motivating participants. This paper reviews literature on incentive mechanisms for mobile crowdsensing and proposes the concept of SPECTRUM as a guide for inferring the most appropriate type of incentive suited to any given crowdsensing task. Furthermore, the paper highlights research challenges and areas where additional studies related to the different factors outlined in the concept of SPECTRUM are needed to improve citizen participation in mobile crowdsensing. It is envisaged that the broad range of factors covered in SPECTRUM will enable smart cities to efficiently engage citizens in large-scale crowdsensing initiatives. More importantly, the paper is expected to trigger empirical investigations into how various factors as outlined in SPECTRUM can influence the type of incentive mechanism that is considered most appropriate for any given mobile crowdsensing initiative
Anonymous smartphone data collection: factors influencing the users’ acceptance in mobile crowd sensing
State of the art and research challenges in the area of autonomous control for a reliable internet of services
The explosive growth of the Internet has fundamentally changed the
global society. The emergence of concepts like service-oriented architecture
(SOA), Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure
as a Service (IaaS), Network as a Service (NaaS) and Cloud Computing in
general has catalyzed the migration from the information-oriented Internet into
an Internet of Services (IoS). This has opened up virtually unbounded possibilities
for the creation of new and innovative services that facilitate business
processes and improve the quality of life. However, this also calls for new
approaches to ensuring quality and reliability of these services. The goal of this
book chapter is to first analyze the state-of-the-art in the area of autonomous
control for a reliable IoS and then to identify the main research challenges within
it. A general background and high-level description of the current state of
knowledge is presented. Then, for each of the three subareas, namely the
autonomous management and real-time control, methods and tools for monitoring
and service prediction, and smart pricing and competition in
multi-domain systems, a brief general introduction and background are presented,
and a list of key research challenges is formulated