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CS-Man: computation service management for IoT in-network processing.
(2016)
The Internet of Things (IoT) expects to link billions of devices to the Internet, which will produce massive amounts of data. Current approaches move the IoT data out of the network for processing. It results in long delays ...
FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications.
(arXiv, 2018-05-28)
Fire disasters typically result in lot of loss to life
and property. It is therefore imperative that precise, fast, and
possibly portable solutions to detect fire be made readily available
to the masses at reasonable ...
Survey on collaborative smart drones and Internet of Things for improving smartness of smart cities.
(IEEE, 2019-09)
Smart cities contain intelligent things which can intelligently automatically and collabora-tively enhance life quality, save people's lives, and act a sustainable resource ecosystem. To achieve these advanced collaborative ...
MR-Edge: a MapReduce-based Protocol for IoT Edge Computing with resource constraints.
(IEEE Xplore, 2019)
Edge computing is proposed to remedy the
Cloud-only processing architecture for Internet of Things (IoT)
because of the massive amounts of IoT data. The challenge is
how to deploy and execute data processing tasks ...
PIoT: Programmable IoT using Information Centric Networking.
(IEEE, 2016)
The Internet of Things (IoT) places significant
demands on network infrastructure in order to process data
captured by ubiquitous sensor devices. One existing technique to
support this sensor data processing involves ...
Collaboration of drone and Internet of public safety things in smart cities: an overview of Qos and network performance optimization.
(MDPI, 2019-01-27)
This paper studies the network performance of collaboration between the Internet of public
safety things (IoPST) and drones. Drones play a vital role in delivering timely and essential wireless
communication services for ...