Abstract
Wi-Fi technology is one of the alternative ways for electronic devices to connect to a wireless LAN (WLAN). With BYOD technology, it is common to bring our mobile devices especially smartphone everywhere we go. Surfing the Internet is not the only thing you can do with Wi-Fi, as wireless transfer file between devices is one of the example. Wireless signal strength is essential when we want to transfer a file. The problem is when we face poor signal, especially when the signal bar is only one level remaining in certain areas. Hence, not many task can be done, which usually only messaging service is available such as WhatsApp Messenger. Moreover, activities done while signal is poor will cause to mobile device’s battery drain quickly. Therefore, poor signal strength will affect data transferring activities. Hence, this research proposed a new mechanism for data transferring over poor Wi-Fi signal with enhanced data chunk model. Data chunk applies searching technique using hash table for data structure and combine with bloom filter. Thus, it will not only chunk the data into several parts but the transferring process will be faster. This mechanism should be able to cater the above mentioned problem which results to data such as text and mp3 can be transferred even over poor Wi-Fi signal.
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Acknowledgement
This research is supported by the Research Management Institute, Universiti Teknologi Mara registered under the BESTARI Grant Scheme (FRGS) #600-IRMI/PERDANA 5/3 BESTARI (098/2018). The authors would like to thank to Research Management Institute, Universiti Teknologi MARA, Malaysia for their funding support and also acknowledged the support given by Crowd Business and Innovation Research Interest Group, Faculty of Computer and Mathematical Sciences, UiTM Shah Alam.
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Bashah, N.S.K., Idris, S.Z., Arshad, N.H.H., Janom, N., Aris, S.R.S. (2019). A Lightweight Data Transfer Mechanism for Mobile Device over Poor Wi-Fi Signal. In: Awan, I., Younas, M., Ünal, P., Aleksy, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2019. Lecture Notes in Computer Science(), vol 11673. Springer, Cham. https://doi.org/10.1007/978-3-030-27192-3_15
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