Share and Multiply: Modeling Communication and Generated Traffic in Private WhatsApp Groups

Seufert, Anika; Poignée, Fabian; Seufert, Michael; Hoßfeld, Tobias

doi:10.1109/access.2023.3254913

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…al. utilized very big data set of about 6000 private WhatsApp chat histories, that consist of over 75 million messages which have obtained from more than 117,000 users [12]. This study, define and build the main properties of users and chat groups as well.…”

Section: Related Workmentioning

confidence: 99%

Modelling WhatsApp Traffic Control Time-Based (WTCTB) for 5G Mobile Network

Abbas

2023

Int j comput electron asp eng

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Utilizing of the WhatsApp application in recent years, especially in the last ten years, is an increasing use and the way it is exponentially increasing. With the development of mobile phone generations and what the fifth generation technology (5G) is looking forward to, it become necessary to have a mechanism that controls the traffic in the WhatsApp application in the fifth generation technology (5G). In this article, a model called WhatsApp Traffic Control Time-Based (WTCTB) was proposed, which synchronizes with WhatsApp usage times and reduces traffic in secondary-priority applications as well as saving time consumption for traffic flow in addition to saving energy consumption in the phone battery in the sixth generation mobile networks. WhatsApp application is normally consuming more than 40% in almost smart phones of their battery energy, the proposed model WTCTB is reducing this consuming rate to be 35%.

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Section: Related Workmentioning

confidence: 99%