CEMulti-core Architecture for Optimization of Energy over Heterogeneous Environment with High Performance Smart Sensor Devices
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Nowadays, it is unusual for an electronic system to be without sensors, thus sensing plays an important part in everyday life. To this, the field of image processing is an added advantage as it stores image data and makes it readily available for parallel processing. The wireless sensor nodes over heterogeneous networks exhibit radio communication always with highest energy consumption. Multicore processors are more suitable for real time applications compared to traditional modern microcontrollers of sensor nodes in terms of improvement in their energy consumption rate. To significantly reduce the energy consumption, the usage of off-the-shelf low power microcontroller with appropriate processing core has to be considered. The proposed CEMulti-core architecture incorporated with the MIPS single core processor and multicore processor is simulated and the experimental results are compared and analyzed for their speedup, clock cycles and the time required for execution. Thus enabling the sensor node over heterogeneous networks to process large sized images with increase in energy efficiency.
KeywordsCEMulti-core (Chip embedded multi-core) Heterogeneous network WSN (Wireless sensor network) Control and analysis centre (CAC) Arithmetic and logic unit (ALU) Millions of instruction per second (MIPS)
- 2.Lan, Y., Xiuli, C., & Meng, W. (2009). An energy balanced clustering routing algorithm for wireless sensor networks (pp. 316–320). San Francisco: World Congress on Computer Science and Information Engineering.Google Scholar
- 3.Sheik, A. K., Ali, H., & Lewis, T. (1995). Designed the multicore processor for industrial applications. Journal of Computer, 28, 27–37.Google Scholar
- 4.Talal, M., & Abdullah, M. D. (2007). Survey on task scheduling for multicore systems. IEEE Community, 2(11), 142–147.Google Scholar
- 5.Hempstead, M. D. (2009) Accelerator-based architectures for wireless sensor network applications.Google Scholar
- 6.Tuah, N., Ismail, M., & Jumari, K. (2012). Energy efficient improvement for heterogeneous wireless sensor networks. London: Open Access Publisher.Google Scholar
- 9.Ansari, J., Pankin, D. (2008). Radio-triggered wake-ups with addressing capabilities for extremely low power sensor network applications. In 5th European conference on wireless sensor networks, Italy.Google Scholar
- 10.Armstrong, T. Wake-up based power management in multi-hop wireless networks. http://www.eecg.toronto.edu/~trevor/Wakeup/ index.html.