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Volume 1 No. 2
05 September 2020
Triboelectric nanogenerators enabled internet of things: A survey
Jiarong Li,Changsheng Wu,Ishara Dharmasena,Xiaoyue Ni,Zihan Wang,Haixu Shen,Shao-Lun Huang,Wenbo Ding
2020, 1(2): 115-141. doi:
10.23919/ICN.2020.0008
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As pioneering information technology, the Internet of Things (IoT) targets at building an infrastructure of embedded devices and networks of connected objects, to offer omnipresent ecosystem and interaction across billions of smart devices, sensors, and actuators. The deployment of IoT calls for decentralized power supplies, self-powered sensors, and wireless transmission technologies, which have brought both opportunities and challenges to the existing solutions, especially when the network sca...
Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions
Zhisheng Niu,Xuemin S. Shen,Qinyu Zhang,Yuliang Tang
2020, 1(2): 142-169. doi:
10.23919/ICN.2020.0009
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Unlimited and seamless coverage as well as ultra-reliable and low-latency communications are vital for connected vehicles, in particular for new use cases like autonomous driving and vehicle platooning. In this paper, we propose a novel Space-Air-Ground integrated vehicular network (SAGiven) architecture to gracefully integrate the multi-dimensional and multi-scale context-information and network resources from satellites, High-Altitude Platform stations (HAPs), low-altitude Unmanned Aerial Vehi...
Backscatter technologies and the future of Internet of Things: Challenges and opportunities
Chaochao Yao,Yang Liu,Xusheng Wei,Gongpu Wang,Feifei Gao
2020, 1(2): 170-180. doi:
10.23919/ICN.2020.0013
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Energy source and circuit cost are two critical challenges for the future development of the Internet of Things (IoT). Backscatter communications offer a potential solution to conveniently obtain power and reduce cost for sensors in IoT, and researchers are paying close attention to the technology. Backscatter technology originated from the Second World War and has been widely applied in the logistics domain. Recently, both the academic and industrial worlds are proposing a series of new types o...
Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems
Samrat Nath,Jingxian Wu
2020, 1(2): 181-198. doi:
10.23919/ICN.2020.0014
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Mobile Edge Computing (MEC) is one of the most promising techniques for next-generation wireless communication systems. In this paper, we study the problem of dynamic caching, computation offloading, and resource allocation in cache-assisted multi-user MEC systems with stochastic task arrivals. There are multiple computationally intensive tasks in the system, and each Mobile User (MU) needs to execute a task either locally or remotely in one or more MEC servers by offloading the task data. Popul...
Research and application of wireless sensor network technology in power transmission and distribution system
Jianming Liu,Ziyan Zhao,Jerry Ji,Miaolong Hu
2020, 1(2): 199-220. doi:
10.23919/ICN.2020.0016
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Power is an important part of the energy industry, relating to national economy and people’s livelihood, and it is of great significance to ensure the security and stability in operation of power transmission and distribution system. Based on Wireless Sensor Network technology (WSN) and combined with the monitoring and operating requirements of power transmission and distribution system, this paper puts forward an application system for monitoring, inspection, security, and interactive service o...
