Abstract—The smartphone became a necessity in the personal life, and this device invoked in Mobile Crowd Sensing MCS to cover the smart cities requirements. There are two challenge factors with MCS are energy consumption and data uploading cost.  This paper presented a new framework to manage these two challenge factors, this framework called "Efficient Transfer Route for Mobile Crowd Sensing (ETR-MCS)", this framework began with clustering the participant users with two areas, master area, and slave area, the users in slave area have two responsibilities, first, collect the data from the environment, second, the users would build a transfer route called "three-way handshaking route" to transfer the data to the users in master area. The users in Master area will be responsible to upload the data to the serverwith low energy and zero data uploading cost, this gain got from choosing the best clustering areas, where the master area prefer to choose the users how are at home or in work, therefore; they will upload the data using Wi-Fi or piggyback with 3G communication with considering the priority to the message should be transferred or upload first. This framework also presented precise equations for "time of sense", "time to transfer data" for the user in slave area, also give equations for energy consumption by the participants in both areas. The evaluations to this framework shows outperform of our proposed framework with compare to the previous articles in Mobile Crowd Sensing.   

Index Terms—Wireless sensor network, mobile crowd sensing, clustering, three-way handshaking. 

Cite: Furkan Rabee, Efficient Transfer Route for Mobile Crowd Sensing (ETR-MCS)," Journal of Communications, vol. 13, no. 4, pp. 162-168, 2018. Doi: 10.12720/jcm.13.4.162-168.