| Title |
Smart City Surveillance at the Network Edge in the Era of IoT: Opportunities and Challenges |
| ID_Doc |
36945 |
| Authors |
Chen, N; Chen, Y |
| Title |
Smart City Surveillance at the Network Edge in the Era of IoT: Opportunities and Challenges |
| Year |
2018 |
| Published |
|
| DOI |
10.1007/978-3-319-76669-0_7 |
| Abstract |
Taking advantages of modern information and communication technologies (ICTs), smart cities aim at providing their residents better services as well as monitoring unexpected changes of city activity patterns. The globally rapid urbanization is proposing various inevitable issues, one of which is smart and efficient surveillance in urban areas. With ubiquitously deployed smart sensors, city mobility can be recorded all the time resulting in tons of urban data in every second. For smart city surveillance, identifying anomaly changes is always of high priority since changes in normal urban patterns may lead to remarkable events or even disasters. However, just like finding a needle in the sea, it is difficult for the surveillance operators to obtain meaningful information from the collected big urban data. Moreover, changes especially in emergent situations require quick decision-making with rather low latency tolerance to prevent a big loss. Therefore, all the issues are propelling researchers to seek new computing paradigms other than cloud computing which is powerful but suffers relatively high latency and bandwidth overconsumption. Connected environments like Internet of Things (IoTs) build a platform for connected smart devices to collaboratively share data and provide plentiful computing resources at the edge of network. Fog computing enables data processing and storage at the network edge which is promising to reduce the bandwidth consumption as well as making smart city surveillance more effective and efficient. This chapter provides a holistic vision about smart city surveillance and fog computing paradigm including the concepts, applications, challenges, and opportunities. A case study of urban traffic surveillance is presented to highlight the concepts through a real-world application example. |
| Author Keywords |
Smart city surveillance; Internet of things (IoTs); Fog computing Cloud computing; Edge computing; Urban surveillance; Urbanization Governance |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S) |
| EID |
WOS:000446427000008 |
| WoS Category |
Computer Science, Hardware & Architecture; Telecommunications; Urban Studies |
| Research Area |
Computer Science; Telecommunications; Urban Studies |
| PDF |
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