Results 31 to 40 of about 647 (162)

An Efficient Route Maintenance Protocol for Dynamic Bluetooth Networks

open access: yesJournal of King Saud University: Computer and Information Sciences, 2017
Bluetooth is a widespread technology for small wireless networks that permits Bluetooth devices to construct a multi-hop network called scatternet.
Sabeen Tahir   +2 more
doaj   +1 more source

Enabling Cognitive Load‐Aware AR with Rateless Coding on a Wearable Network

open access: yesAdvances in Multimedia, Volume 2008, Issue 1, 2008., 2008
Augmented reality (AR) on a head‐mounted display is conveniently supported by a wearable wireless network. If, in addition, the AR display is moderated to take account of the cognitive load of the wearer, then additional biosensors form part of the network. In this paper, the impact of these additional traffic sources is assessed.
R. Razavi   +3 more
wiley   +1 more source

Bluetooth: Opening a Blue Sky for Healthcare

open access: yesMobile Information Systems, Volume 2, Issue 2-3, Page 151-167, 2006., 2006
Over the last few years, there has been a blossoming of developing mobile healthcare programs. Bluetooth technology, which has the advantages of being low‐power and inexpensive, whilst being able to transfer moderate amounts of data over a versatile, robust and secure radio link, has been widely applied in mobile healthcare as a replacement for cables.
X. H. Wang, M. Iqbal
wiley   +1 more source

Locally Optimal Scatternet Topologies for Bluetooth Ad Hoc Networks [PDF]

open access: yes, 2004
Bluetooth is a promising technology for personal/local area wireless communications. A Bluetooth scatternet is composed of overlapping piconets, each with a low number of devices sharing the same radio channel.
CUOMO, Francesca   +3 more
core   +1 more source

Chain structure Bluetooth scatternet topology formation algorithm and performance simulations

open access: yesTongxin xuebao, 2006
A novel chain structure Bluetooth scatternet algorithm for topology formation was presented:all Bluetooth nodes turn into INQUIRY or INQUIRY SCAN states with identical probability,0.5,then set point-to-point connections up simultaneously.As a result,as ...
YANG Fan, WANG Ke, QIAN Zhi-hong
doaj   +2 more sources

Assessing bluetooth scatternet formation [PDF]

open access: yes, 2004
The interconnection of piconets in Bluetooth networking has received considerable attention, as surveyed in Whitaker et al. (2004). Whilst a variety of scatternet formation protocols have been proposed, a persistent problem is the comparison of protocol ...
Hodge, Leigh Edward   +1 more
core   +1 more source

A Bluetooth group-scatternet formation algorithm for efficient routing [PDF]

open access: yes, 2010
A novel algorithm, called group-scatternet formation algorithm (GSFA), is proposed for scatternet construction. GSFA consists of two phases, piconet formation and group scatternet formation. An efficient routing protocol based on the resulting scatternet
石貴平; Shih, Kuei-ping; Wang, Sean S.; Su, Jen-hung
core   +1 more source

A General Methodology and Key Metrics For Scatternet Formation in Bluetooth [PDF]

open access: yes, 2002
To fully exploit the capabilities of Bluetooth for the deployment of wireless ad-hoc networks, the scatternet concept has been proposed. A scatternet is constituted by an overlapping of simple structures named piconets, each composed of up to eight ...
CUOMO, Francesca, T. MELODIA
core   +1 more source

Introduction to blueweb: A decentralized scatternet formation algorithm for Bluetooth ad hoc networks [PDF]

open access: yes, 2010
[[abstract]]In this letter, a decentralized scatternet formation algorithm called Bluelayer is proposed. First. Bluelayer uses a designated root to construct a tree-shaped subnet and propagates an integer variable k 1 called counter limit as well as a ...
Yu, CM (Yu, Chih-Min); Huang, CC (Huang, Chia-Chi)
core   +4 more sources

HPSCAN: Human Perception‐Based Scattered Data Clustering

open access: yesComputer Graphics Forum, Volume 44, Issue 1, February 2025.
Cluster separation is a task that is typically tackled by widely used clustering techniques, such as for instance k‐means or DBSCAN. However, as these algorithms do not reflect human cluster perception, we propose HPSCAN, a learning strategy which directly operates on scattered data.
S. Hartwig   +4 more
wiley   +1 more source

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