A survey on edge performance benchmarking

B Varghese, N Wang, D Bermbach, CH Hong… - ACM Computing …, 2021 - dl.acm.org
Edge computing is the next Internet frontier that will leverage computing resources located
near users, sensors, and data stores to provide more responsive services. Therefore, it is …

On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review

G Giordano, F Palomba, F Ferrucci - Journal of Systems and Software, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to a network of Internet-enabled devices that can
make different operations, like sensing, communicating, and reacting to changes arising in …

Graphene-based physically unclonable functions that are reconfigurable and resilient to machine learning attacks

A Dodda, S Subbulakshmi Radhakrishnan… - Nature …, 2021 - nature.com
Graphene has a range of properties that makes it suitable for building devices for the
Internet of Things. However, the deployment of such devices will also likely require the …

Defog: fog computing benchmarks

J McChesney, N Wang, A Tanwer, E De Lara… - Proceedings of the 4th …, 2019 - dl.acm.org
There are currently no benchmarks that can directly compare the performance of an
application across the cloud-only, edge-only and cloud-edge (Fog) deployment platforms to …

Smart water meter system for user-centric consumption measurement

MJ Mudumbe, AM Abu-Mahfouz - 2015 IEEE 13th international …, 2015 - ieeexplore.ieee.org
Water scarcity and water stress issues pose a serious threat to the global population. The
traditional way of manual meter reading is furthermore inconvenient and time consuming …

Traffic management for emergency vehicle priority based on visual sensing

K Nellore, GP Hancke - Sensors, 2016 - mdpi.com
Vehicular traffic is endlessly increasing everywhere in the world and can cause terrible traffic
congestion at intersections. Most of the traffic lights today feature a fixed green light …

Distribution-sensitive information retention for accurate binary neural network

H Qin, X Zhang, R Gong, Y Ding, Y Xu, X Liu - International Journal of …, 2023 - Springer
Abstract Model binarization is an effective method of compressing neural networks and
accelerating their inference process, which enables state-of-the-art models to run on …

Optimizing power consumption in iot based wireless sensor networks using Bluetooth Low Energy

K Nair, J Kulkarni, M Warde, Z Dave… - … on Green Computing …, 2015 - ieeexplore.ieee.org
This paper proposes an architecture that uses the ultra-low power Bluetooth Low Energy
(BLE) wireless standard and a hybrid topology to reduce power consumption in IOT based …

NDN, CoAP, and MQTT: a comparative measurement study in the IoT

C Gündoğan, P Kietzmann, M Lenders… - Proceedings of the 5th …, 2018 - dl.acm.org
This paper takes a comprehensive view on the protocol stacks that are under debate for a
future Internet of Things (IoT). It addresses the holistic question of which solution is …

From micro to macro IoT: Challenges and solutions in the integration of IEEE 802.15. 4/802.11 and sub-GHz technologies

L Davoli, L Belli, A Cilfone… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Research efforts in the field of Internet of Things (IoT) are providing solutions in building new
types of “network of networks,” going beyond the technological barriers due to intrinsic …