69,004 research outputs found
Multimedia Streaming through Wireless Networks
An overview of wireless networks, cross-layer optimization techniques, and advances in wireless LAN technologies is presented. This paper presents a scalable and adaptive system-level approach to wireless multimedia in the emerging, Proactive Enterprise computing environment. A Distributed Network Information Base with Service Agents at each node is proposed to enable network-wide, proactive adaptation with adaptive routing and end-to-end Quality of Service (QoS) management. The paper suggests that a combination of technological advancements in emerging wireless networks, node-level cross-layer optimizations, and the proposed distributed cross-node system-level architecture are all required to efficiently scale and adapt wireless multimedia in the current market
Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks
Emerging six generation (6G) is the integration of heterogeneous wireless
networks, which can seamlessly support anywhere and anytime networking. But
high Quality-of-Trust should be offered by 6G to meet mobile user expectations.
Artificial intelligence (AI) is considered as one of the most important
components in 6G. Then AI-based trust management is a promising paradigm to
provide trusted and reliable services. In this article, a generative
adversarial learning-enabled trust management method is presented for 6G
wireless networks. Some typical AI-based trust management schemes are first
reviewed, and then a potential heterogeneous and intelligent 6G architecture is
introduced. Next, the integration of AI and trust management is developed to
optimize the intelligence and security. Finally, the presented AI-based trust
management method is applied to secure clustering to achieve reliable and
real-time communications. Simulation results have demonstrated its excellent
performance in guaranteeing network security and service quality
EVM as generic QoS trigger for heterogeneous wieless overlay network
Fourth Generation (4G) Wireless System will integrate heterogeneous wireless
overlay systems i.e. interworking of WLAN/ GSM/ CDMA/ WiMAX/ LTE/ etc with
guaranteed Quality of Service (QoS) and Experience (QoE).QoS(E) vary from
network to network and is application sensitive. User needs an optimal mobility
solution while roaming in Overlaid wireless environment i.e. user could
seamlessly transfer his session/ call to a best available network bearing
guaranteed Quality of Experience. And If this Seamless transfer of session is
executed between two networks having different access standards then it is
called Vertical Handover (VHO). Contemporary VHO decision algorithms are based
on generic QoS metrics viz. SNR, bandwidth, jitter, BER and delay. In this
paper, Error Vector Magnitude (EVM) is proposed to be a generic QoS trigger for
VHO execution. EVM is defined as the deviation of inphase/ quadrature (I/Q)
values from ideal signal states and thus provides a measure of signal quality.
In 4G Interoperable environment, OFDM is the leading Modulation scheme (more
prone to multi-path fading). EVM (modulation error) properly characterises the
wireless link/ channel for accurate VHO decision. EVM depends on the inherent
transmission impairments viz. frequency offset, phase noise,
non-linear-impairment, skewness etc. for a given wireless link. Paper provides
an insight to the analytical aspect of EVM & measures EVM (%) for key
management subframes like association/re-association/disassociation/ probe
request/response frames. EVM relation is explored for different possible
NAV-Network Allocation Vectors (frame duration). Finally EVM is compared with
SNR, BER and investigation concludes EVM as a promising QoS trigger for OFDM
based emerging wireless standards.Comment: 12 pages, 7 figures, IJWMN 2010 august issue vol. 2, no.
Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks
Wireless sensor/actuator networks (WSANs) are emerging rapidly as a new
generation of sensor networks. Despite intensive research in wireless sensor
networks (WSNs), limited work has been found in the open literature in the
field of WSANs. In particular, quality-of-service (QoS) management in WSANs
remains an important issue yet to be investigated. As an attempt in this
direction, this paper develops a fuzzy logic control based QoS management
(FLC-QM) scheme for WSANs with constrained resources and in dynamic and
unpredictable environments. Taking advantage of the feedback control
technology, this scheme deals with the impact of unpredictable changes in
traffic load on the QoS of WSANs. It utilizes a fuzzy logic controller inside
each source sensor node to adapt sampling period to the deadline miss ratio
associated with data transmission from the sensor to the actuator. The deadline
miss ratio is maintained at a pre-determined desired level so that the required
QoS can be achieved. The FLC-QM has the advantages of generality, scalability,
and simplicity. Simulation results show that the FLC-QM can provide WSANs with
QoS support.Comment: 13 pages, 8 figures; Open Access at http://www.mdpi.org/sensor
Vertical Handover Management for VoIP Session over Brodband Wireless Networks
Today, wireless LAN (IEEE802.11g/n) has been the dominant wireless network that can provide high data rates in a \ud
limited coverage area. While emerging mobile WiMAX (IEEE802.16e) can provide a wireless broadband access to \ud
mobile users in a wide coverage area. These two different technolgies will co-exist while complementing each other in \ud
some regions, hence, a mobile node (MN) with dual interfaces traverses and executes many handovers (HOs) between \ud
802.11g and 802.16e. Meanwhile, there is a huge demand for Voice over IP (VoIP) service over wireless networks. \ud
However, VoIP is a delay and loss sensitive application, hence, VoIP session is more likely to be deteriorated during \ud
HO between 802.11g and 802.16e. In order to maintain quality of VoIP session during HO, we proposed Vertical \ud
Handover Management (VHM) for VoIP session that focuses on HO initiation and decision strategy according to the \ud
wireless link condition and congestion state of wireless networks. The VHM exploits request to send (RTS) retries and \ud
round trip time (RTT) between an MN and an access point in an 802.11g interface as well as a carrier to interference \ud
noise ration (CINR) level and MN???s queue length of an 802.16e interface as HO triggers. We then conducted simulation \ud
experiments to evaluate the effectiveness of our proposed VHM using QualNet 4.5. Our simulation results show that \ud
our proposed VHM can preserve the quality of VoIP session during such HO
Impact of Mobile and Wireless Technology on Healthcare Delivery services
Modern healthcare delivery services embrace the use of leading edge technologies and new
scientific discoveries to enable better cures for diseases and better means to enable early
detection of most life-threatening diseases. The healthcare industry is finding itself in a
state of turbulence and flux. The major innovations lie with the use of information
technologies and particularly, the adoption of mobile and wireless applications in
healthcare delivery [1]. Wireless devices are becoming increasingly popular across the
healthcare field, enabling caregivers to review patient records and test results, enter
diagnosis information during patient visits and consult drug formularies, all without the
need for a wired network connection [2]. A pioneering medical-grade, wireless
infrastructure supports complete mobility throughout the full continuum of healthcare
delivery. It facilitates the accurate collection and the immediate dissemination of patient
information to physicians and other healthcare care professionals at the time of clinical
decision-making, thereby ensuring timely, safe, and effective patient care. This paper
investigates the wireless technologies that can be used for medical applications, and the
effectiveness of such wireless solutions in a healthcare environment. It discusses challenges
encountered; and concludes by providing recommendations on policies and standards for
the use of such technologies within hospitals
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