Smart Computing Applications Using BLE and Mobile Intercloud Technologies

With the advent of mobile computing and mobile cloud computing, many smart computing applications can be developed. In this paper, we present three smart computing applications using Bluetooth Low Energy (BLE) and mobile Intercloud technologies. The first application is a smart roll call application using BLE, enabling teachers to easily take attendance while at the same time ensuring privacy. The second application is an ad hoc positioning application with a new BLE positioning paradigm. In this case, a user can determine the positions of other users through an ad hoc network. Experiments were conducted to evaluate the accuracy of this positioning method. The third application is a mobile Intercloud application, which allows mobile terminals to transfer data through their associated clouds (i.e., using an Intercloud protocol for data transfer). Experimental results are presented to evaluate performance.

[1]  Luo Haiyong,et al.  RSSI based Bluetooth low energy indoor positioning , 2014, 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[2]  Giovanni Pau,et al.  An Innovative Approach for Forecasting of Energy Requirements to Improve a Smart Home Management System Based on BLE , 2017, IEEE Transactions on Green Communications and Networking.

[3]  Eneko Olivares,et al.  A Multimodal Fingerprint-Based Indoor Positioning System for Airports , 2018, IEEE Access.

[4]  Albert Y. Zomaya,et al.  Computation Offloading for Service Workflow in Mobile Cloud Computing , 2015, IEEE Transactions on Parallel and Distributed Systems.

[5]  Dijiang Huang,et al.  Mobile cloud computing service models: a user-centric approach , 2013, IEEE Network.

[6]  Pallavi Kulkarni,et al.  Innovative ideas to improve shopping mall experience over E-commerce websites using beacon technology and data mining algorithms , 2017, 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT).

[7]  Sung-Bong Jang,et al.  Accuracy Enhancement of RSSI-based Distance Estimation by Applying Gaussian Filter , 2016 .

[8]  Haiyong Luo,et al.  RSSI based Bluetooth low energy indoor positioning , 2014, IPIN.

[9]  Domenico Formica,et al.  Throughput Analysis of BLE Sensor Network for Motion Tracking of Human Movements , 2019, IEEE Sensors Journal.

[10]  Hui Guo,et al.  Towards Secure Data Distribution Systems in Mobile Cloud Computing , 2017, IEEE Transactions on Mobile Computing.

[11]  Petros Spachos,et al.  BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum , 2020, IEEE Systems Journal.

[12]  M. Hata,et al.  Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[13]  Steven Latré,et al.  Dynamic BLE-based fingerprinting for location-aware smart homes , 2017, 2017 IEEE Symposium on Communications and Vehicular Technology (SCVT).

[14]  Henry C. B. Chan,et al.  Development of Mobile Intercloud Applications , 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).