Fog Computing for Smart Living

Cloud-only models face serious challenges in latency, network bandwidth, geographic focus, reliability, and security. Fog computing reduces these challenges by providing a system level horizontal architecture to distribute computing, storage, control, and networking resources and services from the cloud to connected devices (“things”). Over time, fog and cloud computing will converge into unified end-to-end platforms offering integrated services and applications along the continuum from the cloud to things. Applications developed and deployed for the cloud will be able to run in fog and vice versa. Fog computing will be integral in developing and sustaining smart living.

[1]  Hoi-Jun Yoo,et al.  The Human Body Characteristics as a Signal Transmission Medium for Intrabody Communication , 2007, IEEE Transactions on Microwave Theory and Techniques.

[2]  Thad Starner,et al.  Hambone: A Bio-Acoustic Gesture Interface , 2007, 2007 11th IEEE International Symposium on Wearable Computers.

[3]  Songhwai Oh,et al.  Privacy-Aware Communication for Smartphones Using Vibration , 2012, 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications.

[4]  Desney S. Tan,et al.  Skinput: appropriating the body as an input surface , 2010, CHI.

[5]  Yoshinobu Tonomura,et al.  “Body coupled FingerRing”: wireless wearable keyboard , 1997, CHI.

[6]  Sanjay Jha,et al.  Secure key generation and distribution protocol for wearable devices , 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

[7]  Gierad Laput,et al.  ViBand: High-Fidelity Bio-Acoustic Sensing Using Commodity Smartwatch Accelerometers , 2016, UIST.

[8]  Jiwoong Park,et al.  Magnetic human body communication , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[9]  Stefan Stenfelt,et al.  Transmission properties of bone conducted sound: measurements in cadaver heads. , 2005, The Journal of the Acoustical Society of America.

[10]  Yoshinobu Tonomura,et al.  Whisper: a wristwatch style wearable handset , 1999, CHI '99.

[11]  Hoi-Jun Yoo,et al.  The Signal Transmission Mechanism on the Surface of Human Body for Body Channel Communication , 2012, IEEE Transactions on Microwave Theory and Techniques.

[12]  Brett Kaufman,et al.  OsteoConduct: wireless body-area communication based on bone conduction , 2007, BODYNETS.

[13]  K. Fujii,et al.  Electric Field Distributions of Wearable Devices Using the Human Body as a Transmission Channel , 2007, IEEE Transactions on Antennas and Propagation.

[14]  H. Hosaka,et al.  Development and performance analysis of an intra-body communication device , 2003, TRANSDUCERS '03. 12th International Conference on Solid-State Sensors, Actuators and Microsystems. Digest of Technical Papers (Cat. No.03TH8664).

[15]  Thomas G. Zimmerman,et al.  : Near-field , 2022 .