TY - JOUR

T1 - Socially-aware congestion control in ad-hoc networks

T2 - Current status and the way forward

AU - Liaqat, Hannan Bin

AU - Ali, Amjad

AU - Qadir, Junaid

AU - Bashir, Ali Kashif

AU - Bilal, Muhammad

AU - Majeed, Fiaz

PY - 2019/8

Y1 - 2019/8

N2 - 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.

AB - 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.

KW - Acknowledgment

KW - Ad-hoc social networks

KW - Bio-inspired

KW - Congestion control

KW - Delay-tolerant networks

KW - Opportunistic networks

KW - Transmission control protocol

UR - http://www.scopus.com/inward/record.url?scp=85063277500&partnerID=8YFLogxK

U2 - 10.1016/j.future.2019.02.017

DO - 10.1016/j.future.2019.02.017

M3 - Journal article

AN - SCOPUS:85063277500

VL - 97

SP - 634

EP - 660

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

SN - 0167-739X

ER -