TY - JOUR
T1 - Smart Cities
T2 - A Survey on Data Management, Security, and Enabling Technologies
AU - Gharaibeh, Ammar
AU - Salahuddin, Mohammad A.
AU - Hussini, Sayed Jahed
AU - Khreishah, Abdallah
AU - Khalil, Issa
AU - Guizani, Mohsen
AU - Al-Fuqaha, Ala
N1 - Publisher Copyright:
© 1998-2012 IEEE.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Integrating the various embedded devices and systems in our environment enables an Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that can be leveraged for safety, efficiency, and infotainment applications and services for city residents. The management of this voluminous data through its lifecycle is fundamental to the realization of smart cities. Therefore, in contrast to existing surveys on smart cities we provide a data-centric perspective, describing the fundamental data management techniques employed to ensure consistency, interoperability, granularity, and reusability of the data generated by the underlying IoT for smart cities. Essentially, the data lifecycle in a smart city is dependent on tightly coupled data management with cross-cutting layers of data security and privacy, and supporting infrastructure. Therefore, we further identify techniques employed for data security and privacy, and discuss the networking and computing technologies that enable smart cities. We highlight the achievements in realizing various aspects of smart cities, present the lessons learned, and identify limitations and research challenges.
AB - Integrating the various embedded devices and systems in our environment enables an Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that can be leveraged for safety, efficiency, and infotainment applications and services for city residents. The management of this voluminous data through its lifecycle is fundamental to the realization of smart cities. Therefore, in contrast to existing surveys on smart cities we provide a data-centric perspective, describing the fundamental data management techniques employed to ensure consistency, interoperability, granularity, and reusability of the data generated by the underlying IoT for smart cities. Essentially, the data lifecycle in a smart city is dependent on tightly coupled data management with cross-cutting layers of data security and privacy, and supporting infrastructure. Therefore, we further identify techniques employed for data security and privacy, and discuss the networking and computing technologies that enable smart cities. We highlight the achievements in realizing various aspects of smart cities, present the lessons learned, and identify limitations and research challenges.
KW - Internet of Things (IoT)
KW - Smart cities
KW - cloud computing
KW - data management
KW - data security
KW - network functions virtualization (NFV)
KW - software-defined networking (SDN)
UR - http://www.scopus.com/inward/record.url?scp=85029148360&partnerID=8YFLogxK
U2 - 10.1109/COMST.2017.2736886
DO - 10.1109/COMST.2017.2736886
M3 - Review article
AN - SCOPUS:85029148360
SN - 1553-877X
VL - 19
SP - 2456
EP - 2501
JO - IEEE Communications Surveys and Tutorials
JF - IEEE Communications Surveys and Tutorials
IS - 4
M1 - 8003273
ER -