Socially-aware congestion control in ad-hoc networks: Current status and the way forward

被引:12
作者
Bin Liaqat, Hannan [1 ]
Ali, Amjad [2 ]
Qadir, Junaid [3 ]
Bashir, Ali Kashif [4 ]
Bilal, Muhammad [5 ]
Majeed, Fiaz [1 ]
机构
[1] Univ Gujrat, Informat Technol Dept, Gujrat, Pakistan
[2] COMSATS Univ Islamabad, Dept Comp Sci, Lahore Campus, Lahore 54000, Pakistan
[3] Informat Technol Univ, Lahore, Pakistan
[4] Univ Faroe Isl, Dept Sci & Technol, Torshavn, Faroe Islands
[5] Hankuk Univ Foreign Studies, Div Comp & Elect Syst Engn, Yongin, South Korea
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2019年 / 97卷
关键词
Transmission control protocol; Ad-hoc social networks; Congestion control; Acknowledgment; Opportunistic networks; Delay-tolerant networks; Bio-inspired; WIRELESS SENSOR NETWORKS; OPPORTUNISTIC NETWORKS; INSPIRED ALGORITHM; DATA DISSEMINATION; DESIGN PATTERNS; TCP; DELAY; MIDDLEWARE; PROTOCOLS; ACKNOWLEDGMENT;
D O I
10.1016/j.future.2019.02.017
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Ad-hoc social networks (ASNETs) represent a special type of traditional ad-hoc network in which a user's social properties (such as the social connections and communications metadata as well as application data) are leveraged for offering enhanced services in a distributed infrastructureless environments. However, the wireless medium, due to limited bandwidth, can easily suffer from the problem of congestion when social metadata and application data are exchanged among nodes- a problem that is compounded by the fact that some nodes may act selfishly and not share its resources. While a number of congestion control schemes have been proposed for the traditional ad-hoc networks, there has been limited focus on incorporating social awareness into congestion control schemes. We revisit the existing traditional ad-hoc congestion control and data distribution protocols and motivate the need for embedding social awareness into these protocols to improve performance. We report that although some work is available in opportunistic network that uses socially-aware techniques to control the congestion issue, this area is largely unexplored and warrants more research attention. In this regards, we highlight the current research progress and identify multiple future directions of research. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:634 / 660
页数:27
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