A 2-V, 1-10 GHz BiCMOS transceiver chip for multimode wireless communications networks

1997 ◽  
Vol 32 (4) ◽  
pp. 521-525 ◽  
Author(s):  
M. Madihian ◽  
E. Bak ◽  
H. Yoshida ◽  
H. Hirabayashi ◽  
K. Imai ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Communications Networks

mMarketing Opportunities for User Collaborative Environments in Smart Cities

2017 ◽  
pp. 1213-1241
Author(s):  
Artemis D. Avgerou ◽  
Despina A. Karayanni ◽  
Yannis C. Stamatiou
Keyword(s):  
Wireless Communications ◽  
Mobile Devices ◽  
Large Scale ◽  
Collective Intelligence ◽  
Personal Information ◽  
Smart Cities ◽  
Mobility Patterns ◽  
Communications Networks ◽  
Pollution Levels ◽  
Commercial Activities

Smart City infrastructures connect people with their devices through wireless communications networks while they offer sensor-based information about the city's status and needs. Connecting people carrying mobile devices equipped with sensors through such an infrastructure leads to the “collective intelligence” or “crowdsourcing” paradigm. This paradigm has been deployed in numerous contexts such as performing large-scale experiments (e.g., monitoring the pollution levels or analyzing mobility patterns of people to derive useful information about rush hours in cities) or gathering and sharing user collected experiences in efforts to increase privacy awareness and personal information protection levels. In this chapter, we will focus on employing this paradigm in the mMarketing/mCommerce domain and discuss how crowdsourcing can create new opportunities for commercial activities as well as expansion of existing ones.

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