How can edge computing benefit from software-defined networking: A survey, use cases, and future directions

AC Baktir, A Ozgovde, C Ersoy - IEEE Communications Surveys …, 2017 - ieeexplore.ieee.org
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 …

Energy-efficient neighbor discovery in mobile ad hoc and wireless sensor networks: A survey

W Sun, Z Yang, X Zhang, Y Liu - … Communications Surveys & …, 2014 - ieeexplore.ieee.org
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 …

Caching transient data for Internet of Things: A deep reinforcement learning approach

H Zhu, Y Cao, X Wei, W Wang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
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 …

Joint clustering and routing design for reliable and efficient data collection in large-scale wireless sensor networks

Z Xu, L Chen, C Chen, X Guan - IEEE Internet of Things Journal, 2015 - ieeexplore.ieee.org
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 …

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 …

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 …

Information-centric networking with edge computing for IoT: Research challenges and future directions

R Ullah, SH Ahmed, BS Kim - IEEE Access, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …

Hello: A generic flexible protocol for neighbor discovery

W Sun, Z Yang, K Wang, Y Liu - IEEE INFOCOM 2014-IEEE …, 2014 - ieeexplore.ieee.org
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 …