Hidden and Exposed Terminal Problems

Author(s):  
Zijun Gong ◽  
Fan Jiang
Keyword(s):  
2012 ◽  
Vol 56 (14) ◽  
pp. 3261-3273 ◽  
Author(s):  
Caishi Huang ◽  
Chin-Tau Lea ◽  
Albert Kai-Sun Wong

Author(s):  
Arundhati Arjaria

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.


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

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Jie Yang ◽  
Li Feng ◽  
Tong Jin ◽  
Hong Liang ◽  
Fangxin Xu ◽  
...  

5G customer premise equipment (5G-CPE) is an IoT gateway technology that integrates 5G and Wi-Fi and therefore can provide Wi-Fi connection for IoT devices and meanwhile benefit from the advantages of 5G. With the increasing number of IoT devices, transmission collisions and hidden/exposed terminal problems on the Wi-Fi connection side become more and more serious. Conventional mechanisms cannot solve these problems well. In this paper, we propose a Wi-Fi sector (Wi-FiS) design, which is compatible with Wi-Fi, to solve them fundamentally. Wi-FiS divides the whole coverage area of Wi-Fi into multiple sectors and utilizes beamforming technology and sector-based scheduling to improve system performance of Wi-Fi dense networks. For a single-cell network, Wi-FiS differentiates uplink and downlink operations and totally excludes collision in downlink. For a multicell network, Wi-FiS can avoid hidden and exposed terminal problems, while enabling parallel transmissions among multiple cells. We then develop a theoretical model to analyze Wi-FiS’s throughput. Extensive simulations verify that our theoretical model is very accurate and Wi-FiS can improve system throughput of Wi-Fi dense networks significantly.


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