Distributed Computing in IoT
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This document explores the role of distributed computing in Internet of Things (IoT) systems, specifically through the use of smart cameras. It addresses challenges with centralized data management and presents distributed computing as an efficient solution for processing ultra-big data in scenarios like video surveillance and vehicle localization. The findings indicate that distributed approaches can significantly enhance performance by reducing bandwidth requirements and offloading computation from cloud servers.
Distributed Computing in IoT
- 1. Distributed Computing in IoT System-on-a-Chip for Smart Cameras as an Example By: Kishan Patel 26th October 2016
- 2. Contents • Introduction • Challenges • Solution • Conclusion • References
- 3. Internet of Things • Sensors • Communication • Computation • Service • IoT is a collection of connected devices and services that work together to do useful stuff. Components of IoT
- 4. Introduction • In IoT there is billions of smart objects, such as Sensors, Actuators, Smart phones and Smart Vehicles, etc. are connected with each other to sensing physical signals and giving better service in real time human need. • In this paper presentation, my main focus is on sensors, communication & computation.
- 5. Challenges • Ultra-Big data • Infeasible and inefficient to handle with cloud services because of computing and communication recourses.
- 6. Challenges • Using centralized approached where all the data analysis works are executed on cloud servers. • Cloud server have to do job of Computing and Communicating that processed data itself.
- 7. Solution • To handle Ultra-big data, Distributed computing is a efficient way rather then centralize.
- 8. How Distributed Computing solve the problem? Distributed smart camera as a node of an IoT
- 9. Example: Distributed Computing In Video Sensor Network Video Surveillance • In this case target is to store video sequence when critical event occurs. • Approaches: 1) Centralized approach: All data are streamed back to the server. 2) Distributed approach: Intra processing stage and Inter Processing stage
- 10. Example: Distributed Computing In Video Sensor Network Video Surveillance • As showing in figure, with Distributed Approach, 91.3% of the transmission bandwidth can be saved.
- 11. Example: Distributed Computing In Video Sensor Network Vehicle Localization • The Second case is a Vehicle neighboring map generation system with video cameras in an intelligent transportation system. • Aggregator: • RSU (Road site unit): • OBU (On-Board unit):
- 12. Example: Distributed Computing In Video Sensor Network Vehicle Localization Here six different cases taken to test case: • Low-end sensor is the video sensor with simple video capturing, coding and transmission ability. • Middle-level sensor is the video sensor with moving object detection ability. It can transmit video data to aggregator only when it detects moving object. • High-end sensor is the video sensor with a vehicle detection subsystem. It can transmit vehicle information instead of sending video data to aggregator.
- 13. Example: Distributed Computing In Video Sensor Network Vehicle Localization Result is shown in figure, Sensors Corresponding Aggregators All aggregators Cloud severs
- 14. Conclusion • Distributed Computing is an essential technique for internet of things (IoT) to off-load the computation from the cloud servers as well as reduce the transmission bandwidth requirements. • Experimental results show the proposed design can achieve high area and power efficiency.
- 15. References • K.-W. Chen, H.-M. Tsai, C.-H. Hsieh, S.-D. Lin, C.-C. Wang, S.-W.Yang, S.-Y. Chien, C.-H. Lee, Y.-C. Su, C.-T. Chou, Y.-J. Lee, H.-K. Pao,R.-S. Guo, C.-J. Chen, M.-H. Yang, B.-Y. Chen, and Y.-P. Hung, “Connected vehicle safety science, system, and framework,” in Proc. 2014 IEEE World Forum on Internet of Things (WF-IoT), Mar. 2014, pp. 235–240. • Shao-Yi Chien, Wei-Kai Chan, Yu-Hsiang Tseng, Chia-Han Lee, V. Srinivasa Somayazulu, Yen-Kuang Chen, “Distributed Computing in IoT: System-on-a-Chip for Smart Cameras as an Example ”