How can edge computing benefit from software-defined networking: A survey, use cases, and future directions
A novel paradigm that changes the scene for the modern communication and computation
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …
Energy-efficient neighbor discovery in mobile ad hoc and wireless sensor networks: A survey
Due to slow advance in battery technology, power remains a bottleneck to limit wide
applications of mobile ad hoc and wireless sensor networks. Among all extensive studies on …
applications of mobile ad hoc and wireless sensor networks. Among all extensive studies on …
Caching transient data for Internet of Things: A deep reinforcement learning approach
Connected devices in Internet-of-Things (IoT) continuously generate enormous amount of
data, which is transient and would be requested by IoT application users, such as …
data, which is transient and would be requested by IoT application users, such as …
Joint clustering and routing design for reliable and efficient data collection in large-scale wireless sensor networks
For data collection in large-scale wireless sensor networks (WSNs), dynamic clustering
provides a scalable and energy-efficient solution, which uses cluster head (CH) rotation and …
provides a scalable and energy-efficient solution, which uses cluster head (CH) rotation and …
A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things
J Phuttharak, SW Loke - Ieee access, 2018 - ieeexplore.ieee.org
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …
approach incorporating human wisdom into mobile computations to solve problems while …
Caching transient data in internet content routers
S Vural, N Wang, P Navaratnam… - IEEE/ACM Transactions …, 2016 - ieeexplore.ieee.org
The Internet-of-Things (IoT) paradigm envisions billions of devices all connected to the
Internet, generating low-rate monitoring and measurement data to be delivered to …
Internet, generating low-rate monitoring and measurement data to be delivered to …
Information-centric networking with edge computing for IoT: Research challenges and future directions
Cloud computing is a paradigm that offers storage, computation, and software services on
demand in the Cloud and far from end users. These services and computations are then …
demand in the Cloud and far from end users. These services and computations are then …
A crowdsourcing assignment model based on mobile crowd sensing in the Internet of Things
J An, X Gui, Z Wang, J Yang… - IEEE Internet of Things …, 2015 - ieeexplore.ieee.org
With the powerful sensing capability of mobile smart devices, users can easily obtained the
crowd sensing services with smart devices in the Internet of Things (IoT). However, credible …
crowd sensing services with smart devices in the Internet of Things (IoT). However, credible …
Taylor kernel fuzzy C-means clustering algorithm for trust and energy-aware cluster head selection in wireless sensor networks
S Augustine, JP Ananth - Wireless Networks, 2020 - Springer
Wireless sensor networks depend on the effective functioning of the nodes in the network,
which is concerned regarding the energy that is essential for the extended network life-time …
which is concerned regarding the energy that is essential for the extended network life-time …
Hello: A generic flexible protocol for neighbor discovery
Neighbor discovery is crucial for both wireless sensor networks and mobile computing
applications. The crux of the problem is to achieve energy efficiency, which has been …
applications. The crux of the problem is to achieve energy efficiency, which has been …