SmartMobiCam: Towards a New Paradigm for Leveraging Smartphone Cameras and IaaS Cloud for Smart City Video Surveillance

Durga, S.; Surya, Sari; Daniel, Esther

doi:10.1109/icoei.2018.8553974

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…• Surveillance: Surveillance plays a vibrant role in a smart city, which reduces the rate of crimes. In a smart city, surveillance cameras record the individual's activity in the crowded areas to detect and prevent crimes, where public safety officers cannot position; this increases public safety [95]. • Smart Community: It provides the essential services like energy and fuel management (green buildings and renewable sources of energy), water management (water quality monitoring, leakage identification, and smart meters), waste management, etc.…”

Section: G Smart Citiesmentioning

confidence: 99%

“…The priority value must be between -128 to +127. If no priority value is provided, then by default, the server considered the value as zero [95][96] [97].…”

Section: Xmppmentioning

confidence: 99%

“…</thread> element is used as an identifier, which contains the non-human-readable XML characters to track the conversation between the entities. Iq section provides the request and response mechanism to communicate [95] [96] [97].…”

Section: Xmppmentioning

confidence: 99%

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An Empirical Study on System Level Aspects of Internet of Things (IoT)

2020

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Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and Communication technologies. The purpose of the IoT is to provide seamless services to anything, anytime at any place. IoT technologies play a crucial role everywhere, which brings the fourth revolution of disruptive technologies after the internet and Information and Communication Technology (ICT). The Research & Development community has predicted that the impact of IoT will be more than the internet and ICT on society, which improves the wellbeing of society and industries. Addressing the predominant system-level design aspects like energy efficiency, robustness, scalability, interoperability, and security issues result in the use of a potential IoT system. This paper presents the current state of art of the functional pillars of IoT and its emerging applications to motivate academicians and researches to develop real-time, energy-efficient, scalable, reliable, and secure IoT applications. This paper summarizes the architecture of IoT, with the contemporary status of IoT architectures. Highlights of the IoT system-level issues to develop more advanced real-time IoT applications have been discussed. Millions of devices exchange information using different communication standards, and interoperability between them is a significant issue. This paper provides the current status of the communication standards and application layer protocols used in IoT with the detailed analysis. The computing paradigms like Cloud, Cloudlet, Fog, and Edge computing facilitate IoT with various services like data offloading, resource and device management, etc. In this paper, an exhaustive analysis of Edge Computing in IoT with different edge computing architectures and existing status are deliberated. The widespread adoption of IoT in society has resulted in privacy and security issues. This paper emphasizes on analyzing the security challenges, privacy and security threats, conventional mitigation techniques, and further scope for IoT security. The features like fewer memory footprints, scheduling, real-time task execution, fewer interrupt, and thread switching latency of Real-Time Operating Systems (RTOS) enables the development of time critical IoT applications. Also, this review offers the analysis of the RTOS's suitable for IoT with the current status and networking stack. Finally, open research issues in IoT system development are discussed.

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Section: G Smart Citiesmentioning

confidence: 99%

“…The priority value must be between -128 to +127. If no priority value is provided, then by default, the server considered the value as zero [95][96] [97].…”

Section: Xmppmentioning

confidence: 99%

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An Empirical Study on System Level Aspects of Internet of Things (IoT)

2020

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“…In recent years, with the upcoming innovation of mobile phone technologies and the Internet, current mobile users are experiencing a new landscape of services [2]. Apart from the usage of distributed application frameworks, which permit software engineers all around the world to plan progressively complex projects that require more processing power and compute capability [3], mobile cloud computing (MCC) is a new computing paradigm that plays a signifcant role in urban environments due to the growing number of mobile clients it serves [4][5][6]. With rapid improvements in the cloud and mobile technologies, the MCC environment was formed, which addresses issues such as battery capacity, processing power, memory, and speed [7].…”

Section: Introductionmentioning

confidence: 99%

“…MCC Service Models. Te evolution of wireless technologies such as worldwide interoperability for microwave access (WiMAX), vehicle-to-everything (V2X) wireless, and software-defned radio (SDR), as well as telecommunication technologies such as ffth generation (5G) and the emerging sixth generation (6G), helped to grow the MCC [4]. In its service framework, the MCC distinguishes its service model based on the roles and relations between computational entities.…”

Section: Introductionmentioning

confidence: 99%

Resource Provisioning Techniques in Multi-Access Edge Computing Environments: Outlook, Expression, and Beyond

Durga¹,

Daniel

Andrew

et al. 2022

Mobile Information Systems

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Mobile cloud computing promises a research foundation in information and communication technology (ICT). Multi-access edge computing is an intermediate solution that reduces latency by delivering cloud computing services close to IoT and mobile clients (MCs), hence addressing the performance issues of mobile cloud computing. However, the provisioning of resources is a significant and challenging process in mobile cloud-based environments as it organizes the heterogeneous sensing and processing capacities to provide the customers with an elastic pool of resources. Resource provisioning techniques must meet quality of service (QoS) considerations such as availability, responsiveness, and reliability to avoid service-level agreement (SLA) breaches. This investigation is essential because of the unpredictable change in service demands from diverse regions and the limits of MEC’s available computing resources. In this study, resource provisioning approaches for mobile cloud computing are thoroughly and comparatively studied and classified as taxonomies of previous research. The paper concludes with an insightful summary that gives recommendations for future enhancements.

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