scholarly journals On the influence of the hidden and exposed terminal problems on asynchronous IEEE 802.15.5 networks

2015 ◽  
Vol 42 ◽  
pp. 53-70 ◽  
Author(s):  
David Rodenas-Herraiz ◽  
Felipe Garcia-Sanchez ◽  
Antonio-Javier Garcia-Sanchez ◽  
Joan Garcia-Haro
Keyword(s):  
Ieee 802.15.5 ◽  
Exposed Terminal

A joint solution for the hidden and exposed terminal problems in CSMA/CA wireless networks

2012 ◽  
Vol 56 (14) ◽  
pp. 3261-3273 ◽  
Author(s):  
Caishi Huang ◽  
Chin-Tau Lea ◽  
Albert Kai-Sun Wong
Keyword(s):  
Wireless Networks ◽  
Joint Solution ◽  
Exposed Terminal

Emerging Technologies for Industrial Wireless Sensor Networks

2013 ◽  
pp. 343-359 ◽  
Author(s):  
Ivanovitch Silva ◽  
Luiz Affonso Guedes ◽  
Paulo Portugal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Emerging Technologies ◽  
Wireless Sensor ◽  
Industrial Wireless Sensor Networks ◽  
Deterministic Scheduling ◽  
Industrial Networks ◽  
Communication Paradigm ◽  
Ieee 802.15.5

The evolution of industrial networks can be summarized as a constant battle to define the universal technology that integrates field devices and applications. Since the Fieldbus wars in the 1980s, diverse wired solutions have been proposed. However, this scenario has been changing due to the introduction of industrial wireless sensor networks. In the last 10 years, the development of deterministic scheduling techniques, redundant routing algorithms, and energy saving issues has brought wireless sensor networks into the industrial domain. This new communication paradigm is governed by a de facto standard, the IEEE 802.15.4, and more recently also by the IEEE 802.15.5. However, there are signs of a new battle on the horizon with the new publicly available specifications of WirelessHART, ISA100.11a, and IEC 62601. In this chapter, to the authors analyze the advantages and drawbacks of these emerging technologies for industrial wireless sensor networks.

Analysis of Access Delay in Ad Hoc Wireless Networks for Multimedia Applications

2019 ◽  
pp. 93-107
Author(s):  
Arundhati Arjaria
Keyword(s):  
Wireless Networks ◽  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Network Capacity ◽  
Wireless Channel ◽  
Multimedia Applications ◽  
Access Delay ◽  
Hoc Networks ◽  
Exposed Terminal

Mobile ad hoc networks are infrastructure-less wireless networks; all nodes can quickly share information without using any fixed infrastructure like base station or access point. Wireless ad hoc networks are characterized by frequent topology changes, unreliable wireless channel, network congestion, and resource contention. Multimedia applications usually are bandwidth hungry with stringent delay, jitter, and loss requirements. Designing ad hoc networks which support multimedia applications, hence, is considered a hard task. The hidden and exposed terminal problems are the main which consequently reduces the network capacity. Hidden and exposed nodes reduce the performance of the wireless ad hoc networks. Access delay is the major parameter that is to be taken under consideration. Due to hidden and exposed terminal problems, the network suffers from a serious unfairness problem.

IEEE 802.15.5 WPAN mesh standard-low rate part: Meshing the wireless sensor networks

2010 ◽  
Vol 28 (7) ◽  
pp. 973-983 ◽  
Author(s):  
Myung Lee ◽  
Rui Zhang ◽  
Jianliang Zheng ◽  
Gahng-Seop Ahn ◽  
Chunhui Zhu ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Ieee 802.15.5 ◽  
Low Rate

Meshing wireless personal area networks: Introducing IEEE 802.15.5

2010 ◽  
Vol 48 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Myung Lee ◽  
Rui Zhang ◽  
Chunhui Zhu ◽  
Tae Park ◽  
Chang-Sub Shin ◽  
...  
Keyword(s):  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Ieee 802.15.5

Hepatic fibronectin matrix turnover in rats: involvement of the asialoglycoprotein receptor

1999 ◽  
Vol 277 (6) ◽  
pp. G1189-G1199 ◽  
Author(s):  
Robert F. Rotundo ◽  
Peter A. Vincent ◽  
Paula J. McKeown-Longo ◽  
Frank A. Blumenstock ◽  
Thomas M. Saba
Keyword(s):  
Intravenous Infusion ◽  
Plasma Clearance ◽  
Endocytic Pathway ◽  
Male Rats ◽  
Adult Rats ◽  
Adhesive Protein ◽  
Terminal Galactose ◽  
Exposed Terminal

Fibronectin (Fn) is a major adhesive protein found in the hepatic extracellular matrix (ECM). In adult rats, the in vivo turnover of plasma Fn (pFn) incorporated into the liver ECM is relatively rapid, i.e., <24 h, but the regulation of its turnover has not been defined. We previously reported that cellular Fn (cFn) and enzymatically desialylated plasma Fn (aFn), both of which have a high density of exposed terminal galactose residues, rapidly interact with hepatic asialoglycoprotein receptors (ASGP-R) in association with their plasma clearance after intravenous infusion. With the use of adult male rats (250–350 g) and measurement of the deoxycholate (DOC)-insoluble125I-labeled Fn in the liver, we determined whether the ASGP-R system can also influence the hepatic matrix retention of various forms of Fn. There was a rapid deposition of 125I-pFn,125I-aFn, and125I-cFn into the liver ECM after their intravenous injection. Although125I-pFn was slowly lost from the liver matrix over 24 h, more than 90% of the incorporated125I-aFn and125I-cFn was cleared within 4 h ( P < 0.01). Intravenous infusion of excess nonlabeled asialofetuin to competitively inhibit the hepatic ASGP-R delayed the rapid turnover of both aFn and cFn already incorporated within the ECM of the liver. ECM retention of both125I-aFn and125I-cFn was also less than125I-pFn ( P < 0.01) as determined in vitro using liver slices preloaded in vivo with either tracer form of Fn. The hepatic ASGP-R appears to participate in the turnover of aFn and cFn within the liver ECM, whereas a non-ASGP-R-associated endocytic pathway apparently influences the removal of normal pFn incorporated within the hepatic ECM, unless it becomes locally desialylated.

scholarly journals Admission control and resource allocation strategies for IEEE 802.15.5

2014 ◽  
Vol 2014 (1) ◽  
Author(s):  
Samar Sindian ◽  
Matthieu Crussière ◽  
Jean-François Hélard ◽  
Abed Ellatif Samhat ◽  
Ayman Khalil
Keyword(s):  
Resource Allocation ◽  
Admission Control ◽  
Ieee 802.15.5 ◽  
Allocation Strategies
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