Results 41 to 50 of about 166,938 (159)

Experimentation with MANETs of Smartphones

open access: yes, 2017
Mobile AdHoc NETworks (MANETs) have been identified as a key emerging technology for scenarios in which IEEE 802.11 or cellular communications are either infeasible, inefficient, or cost-ineffective.
Aguiar, Ana   +3 more
core   +1 more source

Future wireless applications for a networked city: services for visitors and residents [PDF]

open access: yes, 2002
Future wireless networks will offer near-ubiquitous high-bandwidth communications to mobile users. In addition, the accurate position of users will be known, either through network services or via additional sensing devices such as GPS.
Cheverst, Keith   +3 more
core   +1 more source

Digital Twin‐Based Optimization of Service Availability in LEO Mega Constellations Considering Handover Delays in Open RAN

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT As non‐terrestrial networks (NTNs) become integral to future 6G systems, ensuring seamless connectivity and service continuity over low Earth orbit (LEO) satellite constellations is essential. This work investigates the impact of open radio access network (RAN) functional splits on handover performance in NTNs, focusing on minimizing service ...
Siva Satya Sri Ganesh Seeram   +3 more
wiley   +1 more source

Integrated PMR-Broadband-IP Network for Secure Real-time Multimedia Information Sharing [PDF]

open access: yes, 2012
This article appeared in Homeland Security Affairs (May 2012), supplement 5, article 3"In this paper, the authors present a novel solution for the integration of TETRA-based [Terrestrial Trunked Radio] PMR [Professional Mobile Radio] and IP [Internet ...
Christian Wietfeld, Subik, Sebastian
core  

Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

open access: yesSustainable Development, EarlyView.
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori   +3 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

open access: yesSECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi   +2 more
wiley   +1 more source

Vehicular Inter-Networking via Named Data

open access: yes, 2013
In this paper we apply the Named Data Networking, a newly proposed Internet architecture, to networking vehicles on the run. Our initial design, dubbed V-NDN, illustrates NDN's promising potential in providing a unifying architecture that enables ...
Grassi, Giulio   +6 more
core   +2 more sources

Efficient Micro-Mobility using Intra-domain Multicast-based Mechanisms (M&M) [PDF]

open access: yes, 2001
One of the most important metrics in the design of IP mobility protocols is the handover performance. The current Mobile IP (MIP) standard has been shown to exhibit poor handover performance. Most other work attempts to modify MIP to slightly improve its
Bhaskara, Ganesha   +2 more
core   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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